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i-manager's Journal on Electrical Engineering (JEE)

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Volume 12 Issue 3 January - March 2019

Research Paper

Selection and Analysis of 5 KW Grid Connected Roof Top Solar Power Plant: A Case Study

B. H. Band* , Costas S. Tzafestas**

* Assistant Professor, Department of Electrical Engineering, PRMCEAM, Badnera, Maharashtra, India.

** Assistant Professor, Department of Electronics and Tele-communication, PRMCEAM, Badnera, Maharashtra, India.

Band, B., H., & Ingole, A., D. (2019). Selection and Analysis of 5 KW Grid Connected Roof Top Solar Power Plant: A Case Study. i-manager’s Journal on Electrical Engineering, 12(3), 1-8. https://doi.org/10.26634/jee.12.3.14804

Abstract

Today, India is in the developing stage and the requirement of electrical load demand is increases day by day, to meet these load demand existing available resources have some limitation to fulfill these demand. So, solar energy plays a major role in the generation of electricity, as it is a clean, inexhaustible and environment friendly resource compared to all renewable energy sources. This paper gives idea about how to select the solar power plant for the electrical load demand and also provided analysis of 5 kW grid connected roof top solar plant. The grid-connected system was synchronized with the commercial grid with the help of net meter for electricity transfer under no load condition. The monthly energy generation by proposed grid connected roof top solar power plant is calculated.

References

[1]. Ahsan, S., Javed, K., Rana, A. S., & Zeeshan, M. (2016). Design and cost analysis of 1 kW photovoltaic system based on actual performance in Indian scenario. Perspectives in Science, 8, 642-644.

[2]. Akkas, O. P., Erten, M. Y., Cam, E., & Inanc, N. (2017). Optimal site selection for a solar power plant in the Central Anatolian Region of Turkey. International Journal of Photoenergy, 2017.

[3]. Albadi, M. H., Al Abri, R. S., Masoud, M. I., Al Saidi, K. H., Al Busaidi, A. S., Al Lawati, A., ... & Al Farsi, I. (2014). Design of a 50 kW solar PV rooftop system. International Journal of Smart Grid and Clean Energy, 3(4), 401-409.

[4]. Attari, K., Elyaakoubi, A., & Asselman, A. (2016). Performance analysis and investigation of a gridconnected photovoltaic installation in Morocco. Energy Reports, 2, 261-266.

[5]. Bolduc, P., Lehmicke, D., & Smith, J. (1993, May). Performance of a grid-connected PV system with energy storage. In Conference Record of the Twenty Third IEEE Photovoltaic Specialists Conference-1993 (Cat. No. 93CH3283-9) (pp. 1159-1162). IEEE.

[6]. Dale, M. (2013). A comparative analysis of energy costs of photovoltaic, solar thermal, and wind electricity generation technologies. Applied Sciences, 3(2), 325-337.

[7]. Khan, G., & Rathi, S. (2014). Optimal site selection for solar PV power plant in an Indian state using Geographical Information System (GIS). International Journal of Emerging Engineering Research and Technology, 2(7), 260-266.

[8]. Kumar, B. S., & Sudhakar, K. (2015). Performance evaluation of 10 MW grid connected solar photovoltaic power plant in India. Energy Reports, 1, 184-192.

[9]. Kurokawa, K., Kato, K., Ito, M., Komoto, K., Kichimi, T., & Sugihara, H. (2002, May). A cost analysis of very large scale PV (VLS-PV) system on the world deserts. In Conference Record of the Twenty-Ninth IEEE Photovoltaic Specialists Conference, 2002 (pp. 1672-1675). IEEE.

[10]. Lhendupa, T., Wangchukb, S., Norbub, L., Rinzinb, C., & Lhundupc, S. (2016). Simulated performance of a grid-connected and standalone photovoltaic power system. International Journal of Scientific & Engineering Research, 7(11), 678-683.

[11]. Liu, B., Li, K., Niu, D. D., Jin, Y. A., & Liu, Y. (2017, January). The characteristic analysis of the solar energy photovoltaic power generation system. In IOP Conference Series: Materials Science and Engineering (Vol. 164, No. 1, p. 012018). IOP Publishing.

[12]. Makarova, A. (2017). Study, Design and Performance Analysis of a Grid-Connected Photovoltaic System (Bachelor's Thesis, Helsinki Metropolia University of Applied Sciences).

[13]. Ramakumar, R., & Bigger, J. E. (1993). Photovoltaic systems. Proceedings of the IEEE, 81(3), 365-377.

[14]. Rekhashree., Rajashekar, J. S., & Naganagouda, H. (2018). Study on design and performance analysis of solar PV rooftop standalone and on grid system using PVSYST. International Research Journal of Engineering and Technology (IRJET), 5(7), 41- 48.

[15]. Roman, E., Alonso, R., Ibañez, P., Elorduizapatarietxe, S., & Goitia, D. (2006). Intelligent PV module for grid-connected PV systems. IEEE Transactions on Industrial Electronics, 53(4), 1066-1073.

[16]. Shetty, V. J., & Kulkarni, K. (2014). Estimation of cost analysis for 500 kW grid connected solar photovoltaic plant: A case study. Int. J. Curr. Eng. Technol., 4(1), 1859- 1861.

[17]. Shukla, A. K., Sudhakar, K., & Baredar, P. (2016). Simulation and performance analysis of 110 kWp grid-connected photovoltaic system for residential building in India: A comparative analysis of various PV technology. Energy Reports, 2, 82-88.

[18]. So, J. H., Jung, Y. S., Yu, G. J., Choi, J. Y., & Choi, J. H. (2007). Performance results and analysis of 3 kW grid-connected PV systems. Renewable Energy, 32(11), 1858- 1872.

[19]. Upadhyaya, V. (2016). Feasibility for small scale rooftop solar photovoltaic system in heritage buildings of Jaipur. International Journal of Innovative Research in Science, Engineering and Technology, 5(7), 12591-12603.

[20]. Wu, J. Q., Zhu, D. F., Wang, H., & Zhu, Y. (2013). Exergetic analysis of a solar thermal power plant. In Advanced Materials Research (Vol. 724, pp. 156-162). Trans Tech Publications.

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Research Paper

Diagnosis of Stator Inter-Turn Fault in PWM Inverter Fed Induction Motor by Advanced DSP Technique

Khadim Moin Siddiqui* , Kuldeep Sahay , V. K. Giri*

* Associate Professor & HOD, Department of Electrical Engineering, Guru Nanak Institute of Engineering and Management, Hoshiarpur,Punjab, India.

Professor & HOD, Department of Electrical Engineering, Institute of Engineering & Technology, Lucknow, U.P., India.

* Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, U.P., India.

Siddiqui , K., M., Sahay, K., & Giri, V., K. (2019). Diagnosis of Stator Inter-Turn Fault in PWM Inverter Fed Induction Motor by Advanced DSP Technique i-manager’s Journal on Electrical Engineering, 12(3), 9-20. https://doi.org/10.26634/jee.12.3.14892

Abstract

Presently, induction motor adjustable speed drives are being popular in the industrial applications and replacing existing techniques such as Direct Current (DC) motors and Silicon Controlled Rectifiers (SCR) bridges. In this paper, the induction motor's stator inter-turn fault has been diagnosed by advanced Digital Signal Processing (DSP) technique. The Wavelet Transform (WT) algorithm is applied for stator winding fault diagnosis purpose in the transitory period. The wavelet transform's approximation signal is chosen for stator inter-turn fault diagnosis purpose for variable load effectively. The obtained results by WT technique demonstrated that the early fault detection is possible and prevented the machine before reach in the disastrous conditions. Therefore, millions of dollars may be saved for industries and unexpected shutdown.

References

[1]. Albrecht, P. F., Appiarius, J. C., McCoy, R. M., Owen, E. L., & Sharma, D. K. (1986). Assessment of the reliability of motors in utility applications-Updated. IEEE Transactions on Energy Conversion, 1, 39-46.

[2]. Awadallah, M. A., & Morcos, M. M. (2003). Application of AI tools in fault diagnosis of electrical machines and drives-an overview. IEEE Transactions on Energy Conversion, 18(2), 245-251.

[3]. Awadallah, M. A., Morcos, M. M., Gopalakrishnan, S., & Nehl, T. W. (2005). A neuro-fuzzy approach to automatic diagnosis and location of stator inter-turn faults in CSI-fed PM brushless DC motors. IEEE Transactions on Energy Conversion, 20(2), 253-259.

[4]. Bangura, J. E., & Demerdash, N. A. (2000). Comparison between characterization and diagnosis of broken bars/end-ring connectors and airgap eccentricities of induction motors in ASDs using a coupled finite elementstate space method. IEEE Transactions on Energy Conversion, 15(1), 48-56.

[5]. Barendse, P. S., & Pillay, P. (2007, September). The detection of unbalanced faults in inverter-fed induction machines. In 2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (pp. 46-51). IEEE.

[6]. Bellini, A., Filippetti, F., Tassoni, C., & Capolino, G. A. (2008). Advances in diagnostic techniques for induction machines. IEEE Transactions on Industrial Electronics, 55(12), 4109-4126.

[7]. Benbouzid, M. E. H., & Kliman, G. B. (2003). What stator current processing-based technique to use for induction motor rotor faults diagnosis? IEEE Transactions on Energy Conversion, 18(2), 238-244.

[8]. Bonnett, A. H., & Soukup, G. C. (1992). Cause and analysis of stator and rotor failures in three-phase squirrelcage induction motors. IEEE Transactions on Industry Applications, 28(4), 921-937.

[9]. Chua, T. W., Tan, W. W., Wang, Z. X., & Chang, C. S. (2010, July). Hybrid time-frequency domain analysis for inverter-fed induction motor fault detection. In 2010 IEEE International Symposium on Industrial Electronics (pp. 1633-1638). IEEE.

[10]. Cruz, S. M., & Cardoso, A. M. (2004). Diagnosis of stator inter-turn short circuits in DTC induction motor drives. IEEE Transactions on Industry Applications, 40(5), 1349- 1360.

[11]. Daubechies, I. (1990). The wavelet transform, timefrequency localization and signal analysis. IEEE Transactions on Information Theory, 36(5), 961-1005.

[12]. Dlamini, M., Barendse, P. S., & Khan, A. (2013, February). Autonomous detection of interturn stator faults in induction motors. In Industrial Technology (ICIT), 2013 IEEE International Conference on (pp. 1700-1705). IEEE.

[13]. Duque-Perez, O., Morinigo-Sotelo, D., & Perez-Alonso, M. (2011, May). Diagnosis of induction motors fed by supplies with high harmonic content using motor current signature analysis. In 2011 International Conference on Power Engineering, Energy and Electrical Drives (pp. 1-6). IEEE.

[14]. Frosini, L., Bassi, E., & Girometta, L. (2012, October). Detection of stator short circuits in inverter-fed induction motors. In IECON 2012-38^th Annual Conference on IEEE Industrial Electronics Society (pp. 5102-5107). IEEE.

[15]. Gupta, R. A., Wadhwani, A. K., & Kapoor, S. R. (2011). Early estimation of faults in induction motors using symbolic dynamic-based analysis of stator current samples. IEEE Transactions on Energy Conversion, 26(1), 102-114.

[16]. Haji, M., & Toliyat, H. A. (2001). Pattern recognition-a technique for induction machines rotor broken bar detection. IEEE Transactions on Energy Conversion, 16(4), 312-317.

[17]. IEEE Motor Reliability Working Group. (1985). Report of large motor reliability survey of industrial and commercial installations, Part I. IEEE Trans. Ind. App., 21(4), 853-864.

[18]. Ilonen, J., Kamarainen, J. K., Lindh, T., Ahola, J., Kalviainen, H., & Partanen, J. (2005). Diagnosis tool for motor condition monitoring. IEEE Transactions on Industry Applications, 41(4), 963-971.

[19]. Jagadanand, G., Gopi, L., George, S., & Jacob, J. (2012). Inter-turn fault detection in induction motor using stator current wavelet decomposition. International Journal of Electrical Engineering and Technology (IJEET), 3(2), 103-22.

[20]. Jung, J. H., Lee, J. J., & Kwon, B. H. (2006). Online diagnosis of induction motors using MCSA. IEEE Transactions on Industrial Electronics, 53(6), 1842-1852.

[21]. Kawady, T. A., Afify, A. A., Osheiba, A. M., & Taalab, A. I. (2009). Modeling and experimental investigation of stator winding faults in induction motors. Electric Power Components and Systems, 37(6), 599-611.

[22]. Khan, M. A. S. K., Radwan, T. S., & Rahman, M. A. (2007). Real-time implementation of wavelet packet transform-based diagnosis and protection of three-phase induction motors. IEEE Transactions on Energy Conversion, 22(3), 647-655.

[23]. Krause, P. C., & Thomas, C. H. (1965). Simulation of symmetrical induction machinery. IEEE Transactions on Power Apparatus and Systems, 84(11), 1038-1053. [24]. Lee, S. B., Younsi, K., & Kliman, G. B. (2005). An online technique for monitoring the insulation condition of AC machine stator windings. IEEE Transactions on Energy Conversion, 20(4), 737-745.

[25]. Liang, B., Payne, B. S., Ball, A. D., & Iwnicki, S. D. (2002). Simulation and fault detection of three-phase induction motors. Mathematics and Computers in Simulation, 61(1), 1-15.

[26]. Mehala, N., Dahiya, R. (2008). Motor current signature analysis and its applications in induction motor fault diagnosis. International Conference on Signal Processing, Robotics and Automation (ISPRA-08) (pp. 442-448).

[27]. Nandi, S., Bharadwaj, R. M., & Toliyat, H. A. (2002). Performance analysis of a three-phase induction motor under mixed eccentricity condition. IEEE Transactions on Energy Conversion, 17(3), 392-399.

[28]. Puche-Panadero, R., Pineda-Sanchez, M., Riera- Guasp, M., Roger-Folch, J., Hurtado-Perez, E., & Perez- Cruz, J. (2009). Improved resolution of the MCSA method via Hilbert transform, enabling the diagnosis of rotor asymmetries at very low slip. IEEE Transactions on Energy Conversion, 24(1), 52-59.

[29]. Rajagopalan, V., & Ray, A. (2006). Symbolic time series analysis via wavelet-based partitioning. Signal Processing, 86(11), 3309-3320.

[30]. Razafimahefa, D. T., Randrianarisoa, E., Sambatra, E. J. R., & Heraud, N. (2014, October). Modeling and faults detection of small power wound rotor induction machine. In Electrical and Power Engineering (EPE), 2014 International Conference and Exposition on (pp. 311-316). IEEE.

[31]. Schoen, R. R., & Habetler, T. G. (1997). Evaluation and implementation of a system to eliminate arbitrary load effects in current-based monitoring of induction machines. IEEE Trans. Ind. Appl., 33(6), 1571-1577.

[32]. Siddique, A., Yadava, G. S., & Singh, B. (2005). A review of stator fault monitoring techniques of induction motors. IEEE Transactions on Energy Conversion, 20(1), 106- 114.

[33]. Siddiqui, K. M., & Giri, V. K. (2012, March). Broken rotor bar fault detection in induction motors using wavelet transform. In Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on (pp. 1-6). IEEE.

[34]. Siddiqui, K. M., Sahay, K., & Giri, V. K. (2014a). Health monitoring and fault diagnosis in induction motor-a review. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 3(1), 6549- 6565.

[35]. Siddiqui, K. M., Sahay, K., & Giri, V. K. (2014b). Simulation and transient analysis of PWM inverter fed squirrel cage induction motor drives. i-manager’s Journal on Electrical Engineering, 7(3), 9-19.

[36]. Siddiqui, K. M., Sahay, K., & Giri, V. K. (2015b). Rotor broken bar fault detection in induction motor using transformative techniques. Journal of Electrical Engineering, 15(1), 135-141.

[37]. Siddiqui, K. M., Sahay, K., & Giri, V. K. (2015c, March). Modelling and detection of bearing fault in SPWM inverter fed squirrel cage induction motor drives. In 2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015] (pp. 1-9). IEEE.

[38]. Siddiqui, K. M., Sahay, K., & Giri, V. K. (2016). Transient model and detection of stator inter-turn fault in inverter driven induction motor drives by time domain technique. imanager's Journal on Electrical Engineering, 9(3), 20-23.

[39]. Stavrou, A., Sedding, H. G., & Penman, J. (2001). Current monitoring for detecting inter-turn short circuits in induction motors. IEEE Transactions on Energy Conversion, 16(1), 32-37.

[40]. Thomas, V. V., Vasudevan, K., & Kumar, V. J. (2003). Online cage rotor fault detection using air-gap torque spectra. IEEE Transactions on Energy Conversion, 18(2), 265-270.

[41]. Toliyat, H. A. (1999). Condition monitoring and fault diagnosis of electrical machines, a review. In IEEE-IAS 1999 Annual Meeting (pp. 197-204).

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Research Paper

Smart Irrigation Integrated With IoT

V. R. Dharunkarthi * , R. Praveen , S. Srikailainath , E. Karthick Raja , S. Gayathri

- Final Year, Department of Electrical & Electronics Engineering, AVS Engineering College, Ammapet, Salem, India.

Assistant Professor, Department of Electrical & Electronics Engineering, AVS Engineering College, Ammapet, Salem, India.

Dharunkarthi , V., R., Praveen , R., Srikailainath, S., Raja, E., K., & Gayathri, S. (2019). Smart Irrigation Integrated With IoT i-manager’s Journal on Electrical Engineering, 12(3), 21-27. https://doi.org/10.26634/jee.12.3.15738

Abstract

Water is the evidence for all the living organisms on Earth. The scarcity of water is one of the main problems faced by the world nowadays. Agriculture remains the sector which contributes the highest to India's GD. The objective or aim of this work is to regulate water use in irrigating processes and also to improve the quality of the crop in agriculture. Environmental Monitoring Systems with Sensors systems have dramatically improved to peak over the years. This work may become a huge rated product while the importance of water regulation is understood. The purpose of this paper is to present a project called “Smart Irrigation Integrated with IoT” which is capable of monitoring agricultural conditions in a pre-programmed manner. This sensor system will monitor the relevant environmental data like soil moisture, in terms of percentage. The data from, the sensors will be used for the control either automatic or manual control as well as upgrading the irrigation system. This model utilizes the real run-time data from the moisture sensor to minimize the use of water in the agricultural fields. Simultaneously all the sensor values will be updated in the IoT through the GSM module in the kit, this helps us to track the system which we have designed through Android interface and this process also helps to improve the agricultural productions. The farmer analyses the sensor data in the server about the field condition anytime, anywhere and controls the flow of water hence by reducing the manpower and time.

References

[1]. Chate, B. K., & Rana, J. G. (2016). Smart irrigation system using Raspberry Pi. International Research Journal of Engineering and Technology (IRJET), 3(05), 247-249.

[2]. Gavali, M. S., Dhus, B. J., & Vitekar, A. B. (2016). A Smart Irrigation System for Agriculture Based on Wireless Sensors. International Journal of Innovative Research in Science, Engineering and Technology, 5(5).

[3]. Harishankar, S., Kumar, R. S., Sudharsan, K. P., Vignesh, U., & Viveknath, T. (2014). Solar powered smart irrigation system. Advance in Electronic and Electric Engineering, 4(4), 341-346.

[4]. Jadhav, S., & Hambarde, S. (2016). Android based Automated Irrigation System using Raspberr y Pi. International Journal of Science and Research, 5(6), 2345- 2351.

[5]. Kokkonis, G., Kontogiannis, S., & Tomtsis, D. (2017). A Smart IoT Fuzzy Irrigation System. IOSR Journal of Engineering, 7(6), 15-21.

[6]. Lorvanleuang, S., & Zhao, Y. (2018). Automatic Irrigation System using Android. Open Access Library Journal, 5(04), 1-7.

[7]. Mahesh, A. R., & Rao, K. R. (2016). An Android based Automatic Irrigation System using a WSN and GPRS Module. Indian Journal of Science and Technology, 9(30), 1-6.

[8]. Parameswaran, G., & Sivaprasath, K. (2016). Arduino based smart drip irrigation system using Internet of Things. Int. J. Eng. Sci., 5518.

[9]. Rohit, S., Alshy, S., & Rohit, T. (2016). Smart Irrigation System using Mobile Phone. International Research Journal of Engineering and Technology, 3(4), 1400-1402.

[10]. Suprabha, J., & Shailesh, H. (2014). Android based Automated Irrigation System using Raspberry Pi. International Journal of Science and Research (IJSR), 5(6), 2345-2351.

[11]. Tarange, P. H., Mevekari, R. G., & Shinde, P. A. (2015, March). Web based automatic irrigation system using wireless sensor network and embedded Linux board. In 2015 International Conference on Circuits, Power and Computing Technologies (ICCPCT-2015) (pp. 1-5). IEEE.

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Research Paper

Detection and Classification of Single Line to Ground Boundary Faults in a 138 kV Six Phase Transmission Line using Hilbert Huang Transform

Gaurav Kapoor*

*Department of Electrical Engineering, Modi Institute of Technology, Rajasthan Technical University, Rawatbhata Road, Nayagaon, Kota,Rajasthan, India.

Kapoor, G. (2019). Detection and Classification of Single Line to Ground Boundary Faults in a 138 kV Six Phase Transmission Line using Hilbert Huang Transform.i-manager’s Journal on Electrical Engineering, 12(3), 28-41. https://doi.org/10.26634/jee.12.3.15382

Abstract

In this study, a fault detection technique and faulty phase identification technique using Hilbert Huang transform (HHT) are presented for single line to ground boundary faults in six phase transmission line. Hilbert Huang transform is used for processing of the six phase fault current signals which are recorded by the transducers located at bus-1 of the six phase transmission line. The possibility of the HHT-based fault detection technique is tested under the variation of fault type, fault location, fault inception time, fault and ground resistances.

References

[1]. Ashok, V., & Yadav, A. (2018). A relaying scheme for detection and classification of shunt faults in six phase transmission line based on DFT-FIS approach. Journal of Power Technologies, 98(2), 202-211.

[2]. Binsaroor, A. S., & Tiwari, S. N. (1988). Evaluation of twelve-phase (multiphase) transmission line parameters. Electric Power Systems Research, 15(1), 63-76.

[3]. Demir, Z., Kilic, O., & Ozbey, S. (1998, May). Calculation of load flow in mixed three-phase line and multiphase (sixphase and twelve-phase) line by the method of phase coordinate. In Proceedings of the IEEE 6^th International Conference on Optimization of Electrical and Electronics Equipments (pp. 1-7). IEEE.

[4]. Dorazio, T. F. (1990, April). High phase order transmission. In Proceedings of the IEEE Technical Conference on Southern Tier (pp. 1-6). IEEE.

[5]. Fan, C., Liu, L., & Tian, Y. (2011). A fault location method for 12-phase transmission lines based on twelve sequence component method. IEEE Transactions on Power Delivery, 26(1), 135-142.

[6]. Gautam, N., Ali, S., & Kapoor, G. (2018, September). Detection of fault in series capacitor compensated double circuit transmission line using wavelet transform. In Proceedings of the IEEE International Conference on Computing, Power and Communication Technologies (GUCON) (pp. 769-773). IEEE

[7]. Gautam. N., Kapoor, G., & Ali, S. (2018). Wavelet transform based technique for fault detection and classification in a 400 kV double circuit transmission line. Asian Journal of Electrical Sciences, 7(2), 77-83.

[8]. Husain, Z., Singh, R. K., & Tiwari, S. N. (2007, May). Multi Phase (6-Phase and 12-Phase) Power Transmission Systems with TCSC. In Proceedings of the WSEAS International Conference on Applications on Electrical Engineering (pp. 246-250).

[9]. Kapoor, G. (2018a). A contemporary discrete wavelet transform based twelve phase series capacitor compensated transmission line protection. International Journal of Engineering Research and Technology, 7(5), 263-271.

[10]. Kapoor, G. (2018b). A discrete wavelet transform approach to fault location on a 138 kV two terminal transmission line using current signals of both ends. ICTACT Journal of Microelectronics, 4(3), 625-629.

[11]. Kapoor, G. (2018c). A fault location evaluation method of a 330 kV three phase transmission line by using discrete wavelet transform. International Journal of Engineering Design and Analysis, 1(1), 5-10.

[12]. Kapoor, G. (2018d). Detection of phase to phase faults and identification of faulty phases in series capacitor compensated six phase transmission line using the norm of wavelet transform. i-managers Journal of Digital Signal Processing, 6(1), 10-20.

[13]. Kapoor, G. (2018e). Discrete wavelet transform based technique to locate faults in three terminal transmission lines. Journal of Advanced Research in Electrical Engineering and Technology, 5(3), 1-8.

[14]. Kapoor, G. (2018g). Mathematical morphology based fault detector for protection of double circuit transmission line. ICTACT Journal of MicroElectronics, 4(2), 589-600.

[15]. Kapoor, G. (2018f). Fault detection of phase to phase fault in series capacitor compensated six phase transmission line using wavelet transform. Jordan Journal of Electrical Engineering, 4(3), 151-164.

[16]. Kapoor, G. (2018h). Protection scheme for double circuit transmission lines based on wavelet transform. ICTACT Journal on Microelectronics, 4(3), 656-664.

[17]. Kapoor, G. (2018i, September). Six phase transmission line boundary protection using mathematical morphology. In Proceeding of the IEEE International Conference on Computing, Power and Communication Technologies (GUCON) (pp. 857-861). IEEE

[18]. Kapoor, G. (2018j, December). Six phase transmission line boundary protection using wavelet transform. In Proceedings of the 8^th India IEEE International Conference on Power Electronics (IICPE). IEEE.

[19]. Kapoor, G. (2018k). Wavelet transform based fault detector for protection of series capacitor compensated three phase transmission line. International Journal of Engineering, Science and Technology (Africa), 10(4), 29- 49.

[20]. Kapoor, G. (2018l). Wavelet transform based detection and classification of multi-location three phase to ground faults in twelve phase transmission line. Majlesi Journal of Mechatronic Systems, 7(4), 47-60.

[21]. Kapoor, G. (2019a). A protection technique for series capacitor compensated 400 kV double circuit transmission line based on wavelet transform including inter-circuit and cross-country faults. International Journal of Engineering, Science and Technology (Africa), 11(2), 1- 20.

[22]. Kapoor, G., Birla, D., & Tripathi, S. (2017). Discrete wavelet transform in series compensated transmission line for fault location. International Journal of Electronics Electrical and Computational System, 6(3), 110-115.

[23]. Kapoor, G. (2019b). Protection technique for series capacitor compensated three phase transmission line connected with distributed generation using discrete Walsh Hadamard transform. International Journal of Engineering, Science and Technology (Africa), 11(3), 1-10.

[24]. Koley, E., Verma, K., & Ghosh, S. (2017). A modular neuro-wavelet based non-unit protection scheme for zone identification and fault location in six phase transmission line. Neural Compututing and Applications, 28(6), 1369- 1385.

[25]. Kumar, R., E. Koley, A. Yadav & A. S. Thoke (2014). Fault classification of phase to phase fault in six phase transmission line using HAAR wavelet and ANN. In Proceedings of the IEEE International Conference on Signal Processing and Integrated Networks (SPIN) (pp. 5-8).

[26]. Peng, X., Gang, W., Haifeng, L., Yuansheng, L., & Pu, Z. (2010, March). A new method for open conductors fault calculation of four-parallel transmission lines. In Proceedings of the IEEE International Conference on Asia Pacific Power and Energy Engineering. IEEE.

[27]. Sharma, P., Ali, S. & Kapoor, G. (2018a). Wavelet transform approach for fault detection of three phase transmission line compensated with series capacitor. Asian Journal of Electrical Sciences, 7(2), 8-13.

[28]. Sharma, P., Kapoor, G., & Ali, S. (2018b, September). Fault detection on series capacitor compensated transmission line using Walsh Hadamard transform. In Proceedings of the IEEE International Conference on Computing, Power and Communication Technologies (GUCON) (pp. 763-768). IEEE

[29]. Sharma, N., Ali, S., & Kapoor, G. (2018c, September). Fault detection in wind farm integrated series capacitor compensated transmission line using Hilbert Huang transform. In Proceedings of the IEEE International Conference of the Computing, Power and Communication Technologies (GUCON) (pp. 774-778).

[30]. Sharma, K., Ali, S., & Kapoor, G. (2018d). Six phase transmission line boundary fault detection using mathematical morphology. International Journal of Engineering Research and Technology, 6(12), 150-154.

[31]. Shukla, S. K., & Koley, E. (2017, December). Detection and classification of open conductor faults in six-phase transmission system using k- nearest neighbour algorithm. In Proceedings of the 6^th IEEE International Conference on Power Systems (ICPS) (pp. 157-161). IEEE.

[32]. Soni, T., Ali, S., & Kapoor, G. (2017b). Wavelet transform based relaying scheme for double circuit transmission line protection. International Journal of Engineering Research and Technology, 6(8), 84-87.

[33].Soni, T., Ali, S. & Kapoor, G. (2017a). Discrete Wavelet Transform Based Fault Location in Double Circuit Transmission Line. International Journal of Electronics Electrical and Computational System, 6(3), 49-54.

[34]. Tripathi, V. K. & Bhardwaj, A. K. (2014). Investigation of multi phase power transmission system with thyristor controlled series capacitor. International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, 2(6), 1572-1574.

[35]. Zhipeng, S., Pingping, W., Zheng, Y. & Xu, Z. (2012, March). Method for parameter decoupling for four-circuit transmission lines on the same tower. In Proceedings of the IEEE International Conference on Asia Pacific Power and Energy Engineering Conference. IEEE.

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Case Study

Whale Optimization Algorithm Based Optimal MPPT of PV Power Plant (Real Case Study)

Sayed A. Helal * , M. A. Ebrahim , Nessreen M. Rady *, Mohamed M. Salama****

* North Cairo for Electricity Distribution Company, Cairo, Egypt.

, Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt.

* New and Renewable Department of Egyptian Electricity Holding Company, Cairo, Egypt.

Helal , S., A., Ebrahim, M., A., Rady, N., M., & Salama, M., M. (2019). Whale Optimization Algorithm Based Optimal MPPT of Pv Power Plant (Real Case Study)i-manager’s Journal on Electrical Engineering, 12(3), 42-55. https://doi.org/10.26634/jee.12.3.15144

Abstract

This study employs an advanced meta-heuristic optimization technique called Whale Optimization Algorithm (WOA) to adjust a novel Incremental Conductance (IC) based maximum power point tracking controllers for one section of a practical photovoltaic (PV) station with an overall capacity of 10 MW. Different scenarios of solar irradiance, temperature variation, and load fluctuations were used to check the feasibility of the proposed optimizer. The simulation analysis of Matlab™/Simulink results show that dynamic behavior enhancement of the overall PV system can be increased via PI/FOPI controllers tuned with in a shorter time.

References

[1]. Ahmed, J., & Salam, Z. (2018). An enhanced adaptive P&O MPPT for fast and efficient tracking under varying environmental conditions. IEEE Transactions on Sustainable Energy, 9(3), 1487-1496.

[2]. Ahmed, M., Ebrahim, M. A., Ramadan, H. S., & Becherif, M. (2015). Optimal genetic-sliding mode control of VSC-HVDC transmission systems. Energy Procedia, 74, 1048-1060.

[3]. Al Badwawi, R., Issa, W. R., Mallick, T. K., &Abusara, M. (2019). Supervisory control for power management of an islanded AC microgrid using a frequency signalling-based Fuzzy Logic Controller. IEEE Transactions on Sustainable Energy, 10(1), 94-104.

[4]. Al-Dhaifallah, M., Nassef, A. M., Rezk, H., & Nisar, K. S. (2018). Optimal parameter design of fractional order control based INC-MPPT for PV system. Solar Energy, 159, 650-664.

[5]. Ali, A. M., Ebrahim, M., & Hassan, M. M. (2016). Automatic voltage generation control for two area power system based on particle swarm optimization. Indonesian Journal of Electrical Engineering and Computer Science, 2(1), 132.

[6]. Anoop, K., & Nandakumar, M. (2018, January). A novel maximum power point tracking method based on particle swarm optimization combined with one cycle control. In 2018 International Conference on Power, Instrumentation, Control and Computing (PICC) (pp. 1-6). IEEE.

[7]. Aouchiche, N., Aitcheikh, M. S., Becherif, M., & Ebrahim, M. A. (2018). AI-based global MPPT for partial shaded grid connected PV plant via MFO approach. Solar Energy, 171, 593-603.

[8]. Aouchiche, N., Cheikh, M. A., Becherif, M., Ebrahim, M. A., & Hadjarab, A. (2017, October). Fuzzy logic approach based MPPT for the dynamic performance improvement for PV systems. In 2017 5^th International Conference on Electrical Engineering-Boumerdes (ICEE-B) (pp. 1-7). IEEE.

[9]. Askarzadeh, A., & Rezazadeh, A. (2013). Artificial bee swarm optimization algorithm for parameters identification of solar cell models. Applied Energy, 102, 943-949.

[10]. Behera, T. K., Behera, M. K., & Nayak, N. (2018, March). Spider monkey based improve P&O MPPT controller for photovoltaic generation system. In 2018 Technologies for Smart-City Energy Security and Power (ICSESP) (pp. 1-6). IEEE.

[11]. Benmouna, A., Becherif, M., Depernet, D., & Ebrahim, M. A. (2018). Novel energy management technique for hybrid electric vehicle via interconnection and damping assignment passivity based control. Renewable Energy, 119, 116-128.

[12]. Betti, A. M., Ebrahim, M. A., & Hassan, M. M. (2018, December). Modeling and control of stand-alone PV system based on Fractional-Order PID Controller. In 2018 Twentieth International Middle East Power Systems Conference (MEPCON) (pp. 377-382). IEEE.

[13]. Bijukumar, B., Raam, A. G. K., Ganesan, S. I., Nagamani, C., & Reddy, M. J. B. (2018). MPPT algorithm for thermoelectric generators based on parabolic extrapolation. IET Generation, Transmission & Distribution.

[14]. Chen, Y., Vepa, R., & Shaheed, M. H. (2018). Enhanced and speedy energy extraction from a scaled-up pressure retarded osmosis process with a whale optimization based maximum power point tracking. Energy, 153, 618-627.

[15]. Cherukuri, S. K., & Rayapudi, S. R. (2017). Enhanced Grey Wolf Optimizer based MPPT Algorithm of PV system under Partial Shaded Condition. International Journal of Renewable Energy Development, 6(3), 203.

[16]. Derick, M., Rani, C., Rajesh, M., Farrag, M. E., Wang, Y., & Busawon, K. (2017). An improved optimization technique for estimation of solar photovoltaic parameters. Solar Energy, 157, 116-124.

[17]. Diab, A. A. Z., & Rezk, H. (2017). Global MPPT based on flower pollination and differential evolution algorithms to mitigate partial shading in building integrated PV system. Solar Energy, 157, 171-186.

[18]. Ebrahim, M. A., AbdelHadi, H. A., Mahmoud, H. M., Saied, E. M., & Salama, M. M. (2016). Optimal design of MPPT controllers for grid connected photovoltaic array system. International Journal of Emerging Electric Power Systems, 17(5), 511-517.

[19]. Ebrahim, M. A., Ali, A. M., & Hassan, M. M. (2017). Frequency and voltage control of multi area power system via novel particle swarm optimization techniques. International Journal of Computer Research, 24(4), 427- 474.

[20]. Ebrahim, M. A., Aziz, B. A., Osman, F. A., & Nashed, M. N. (2018, December). Optimal PI based secondary control for autonomous Micro-Grid via Particle Swarm Optimization technique. In 2018 Twentieth International Middle East Power Systems Conference (MEPCON) (pp. 1148-1155). IEEE.

[21]. Ebrahim, M. A., Becherif, M., & Abdelaziz, A. Y. (2018). Dynamic performance enhancement for wind energy conversion system using Moth-Flame Optimization based blade pitch controller. Sustainable Energy Technologies and Assessments, 27, 206-212.

[22]. Ebrahim, M. A., El-Metwally, K. A., Bendary, F. M., & Mansour, W. M. (2012). Transient stability enhancement of a wind energy distributed generation system by using fuzzy logic stabilizers. Wind Engineering, 36(6), 687-700.

[23]. Ebrahim, M. A., El-Metwally, K. A., Bendary, F. M., Mansour, W. M., Ramadan, H. S., Ortega, R., & Romero, J. (2011). Optimization of proportional-integral-differential controller for wind power plant using particle swarm optimization technique. International Journal of Emerging Technologies in Science and Engineering.

[24]. Ebrahim, M. A., Elyan, T., Wadie, F., & Abd-Allah, M. A. (2017). Optimal design of RC snubber circuit for mitigating transient overvoltage on VCB via hybrid FFT/Wavelet Genetic approach. Electric Power Systems Research, 143, 451-461.

[25]. Ebrahim, M. A., Mostafa, H. E., Gawish, S. A., &Bendary, F. M. (2009, November). Design of decentralized load frequency based-PID controller using stochastic particle swarm optimization technique. In 2009 International Conference on Electric Power and Energy Conversion Systems,(EPECS) (pp. 1-6). IEEE.

[26]. Ebrahimi, A., & Khamehchi, E. (2016). Sperm whale algorithm: An effective metaheuristic algorithm for production optimization problems. Journal of Natural Gas Science and Engineering, 29, 211-222.

[27]. Elazab, O. S., Hasanien, H. M., Elgendy, M. A., & Abdeen, A. M. (2017). Whale optimisation algorithm for photovoltaic model identification. The Journal of Engineering, 2017(13), 1906-1911.

[28]. Gupta, S., & Saurabh, K. (2017, July). Modified artificial killer whale optimization algorithm for maximum power point tracking under partial shading condition. In 2017 International Conference on Recent Trends in Electrical, Electronics and Computing Technologies (ICRTEECT) (pp. 87-92). IEEE.

[29]. Hsu, T. W., Wu, H. H., Tsai, D. L., & Wei, C. L. (2019). Photovoltaic energy harvester with fractional open-circuit voltage based maximum power point tracking circuit. IEEE Transactions on Circuits and Systems II: Express Briefs, 66(2), 257-261.

[30]. Husain, M. A., Khan, A., Tariq, A., Khan, Z. A., & Jain, A. (2018). Aspects involved in the modeling of PV system, comparison of MPPT schemes, and study of different ambient conditions using P&O method. In System and Architecture (pp. 285-303). Springer, Singapore.

[31]. Hussien, S. A., & Mahmoud, H. (2017). Optimal placement and sizing of DGs in distribution system for improving voltage profile and reducing the power loss using moth flame optimization technique. Int. J. Sci. Res. Eng. Technol., 6, 161-167.

[32]. Iftikhar, R., Ahmad, I., Arsalan, M., Naz, N., Ali, N., & Armghan, H. (2018). MPPT for photovoltaic system using nonlinear controller. International Journal of Photoenergy, 2018.

[33]. Jagatheesan, K., Anand, B., & Ebrahim, M. A. (2014). Stochastic particle swarm optimization for tuning of PID controller in load frequency control of single area reheat thermal power system. Int. J. Electr. Power Eng, 8(2), 33-40.

[34]. Jagatheesan, K., Anand, B., Dey, N., & Ebrahim, M. A. (2016). Design of proportional-integral-derivative controller using stochastic particle swarm optimization technique for single-area AGC including SMES and RFB units. In Proceedings of the Second International Conference on Computer and Communication Technologies (pp. 299- 309). Springer, New Delhi.

[35]. Jordehi, A. R. (2018). Enhanced leader particle swarm optimisation (ELPSO): An efficient algorithm for parameter estimation of photovoltaic (PV) cells and modules. Solar Energy, 159, 78-87.

[36]. Keyrouz, F. (2018). Enhanced Bayesian based MPPT controller for PV systems. IEEE Power and Energy Technology Systems Journal, 5(1), 11-17.

[37]. Kumar, C. S., & Rao, R. S. (2016). A novel global MPP tracking of photovoltaic system based on whale optimization algorithm. International Journal of Renewable Energy Development, 5(3), 225-232.

[38]. Kumar, N., Hussain, I., Singh, B., & Panigrahi, B. K. (2017). MPPT in dynamic condition of partially shaded PV system by using WODE technique. IEEE Transactions on Sustainable Energy, 8(3), 1204-1214.

[39]. Kumar, N., Hussain, I., Singh, B., & Panigrahi, B. K. (2018a). Self-adaptive incremental conductance algorithm for swift and ripple-free maximum power harvesting from PV array. IEEE Transactions on Industrial Informatics, 14(5), 2031-2041.

[40]. Kumar, N., Singh, B., & Panigrahi, B. K. (2018b, March). Discrete noise-eliminating second order generalized integrator based control strategy applied to grid-integrated solar PV synchronization converter. In 2018 IEEMA Engineer Infinite Conference (eTechNxT) (pp. 1-6). IEEE.

[41]. Laagoubi, T., Bouzi, M., &Benchagra, M. (2018). MPPT and power factor control for grid connected PV systems with fuzzy logic controllers. Int. J. Power Electron. Drive Syst., 9, 105-113.

[42]. Li, H., Yang, D., Su, W., Lü, J., & Yu, X. (2019). An overall distribution particle swarm optimization MPPT algorithm for photovoltaic system under partial shading. IEEE Transactions on Industrial Electronics, 66(1), 265-275.

[43]. Maher, M., Ebrahim, M. A., Mohamed, E. A., & Mohamed, A. (2017). Ant-lion Optimizer Based Optimal Allocation of Distributed Generators in Radial Distribution Networks. International Journal of Engineering and Information Systems, 1(7), 225-238.

[44]. Mathew, D., Rani, C., Kumar, M. R., Wang, Y., Binns, R., & Busawon, K. (2018). Wind-driven optimization technique for estimation of solar photovoltaic parameters. IEEE Journal of Photovoltaics, 8(1), 248-256.

[45]. Mirjalili, S., & Lewis, A. (2016). The whale optimization algorithm. Advances in Engineering Software, 95, 51-67.

[46]. Mohamed, R. G., Ebrahim, M. A., Bendary, F. M., & Osman, S. A. A. (2017). Transient stability enhancement for 20 MW PV power plant via incremental conductance controller. International Journal of System Dynamics Applications (IJSDA), 6(4), 102-123.

[47]. Motahhir, S., El Ghzizal, A., Sebti, S., & Derouich, A. (2018). Modeling of photovoltaic system with modified incremental conductance algorithm for fast changes of irradiance. International Journal of Photoenergy, 2018.

[48]. Mousa, M. E., Ebrahim, M. A., & Hassan, M. M. (2015). Stabilizing and swinging-up the inverted pendulum using PI and PID controllers based on reduced linear quadratic regulator tuned by PSO. International Journal of System Dynamics Applications (IJSDA), 4(4), 52-69.

[49]. Mousa, M. E., Ebrahim, M. A., & Hassan, M. M. (2017). Optimal Fractional Order Proportional-Integral-Differential Controller for Inverted Pendulum with Reduced Order Linear Quadratic Regulator. In Fractional Order Control and Synchronization of Chaotic Systems (pp. 225-252). Springer, Cham.

[50]. Omar, M., Ebrahim, M. A., Ghany, A. A., & Bendary, F. (2016). Tuning of PID controller for load frequency control problem via harmony search algorithm. Indonesian Journal of Electrical Engineering and Computer Science, 1(2), 255-263.

[51]. Oshaba, A. S., Ali, E. S., & Elazim, S. A. (2017). PI controller design using ABC algorithm for MPPT of PV system supplying DC motor pump load. Neural Computing and Applications, 28(2), 353-364.

[52]. Osman, S. A., Mohamed, R. G., Ebrahim, M. A., & Bendary, F. A. (2017). Optimal tuning of fuzzy logic controller parameters for incremental conductance mppt controller based on grey wolf optimizer algorithm. Journal of Al Azhar University Engineering Sector, 12(45), 1417- 1426.

[53]. Pandiarajan, N., & Muthu, R. (2011, January). Mathematical modeling of photovoltaic module with st Simulink. In 2011 1 International Conference on Electrical Energy Systems (pp. 258-263). IEEE.

[54]. Ramadan, H. S. (2017). Optimal fractional order PI control applicability for enhanced dynamic behavior of on-grid solar PV systems. International Journal of Hydrogen Energy, 42(7), 4017-4031.

[55]. Samosir, A. S., Gusmedi, H., Purwiyanti, S., & Komalasari, E. (2018). Modeling and simulation of fuzzy logic based Maximum Power Point Tracking (MPPT) for PV application. International Journal of Electrical & Computer Engineering, 8(3).

[56]. Soni, Y. K., & Bhatt, R. (2013). BF-PSO optimized PID controller design using ISE, IAE, IATE and MSE error criteria. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 2(7), 2333-2336.

[57]. Soued, S., Ebrahim, M. A., Ramadan, H. S., & Becherif, M. (2017). Optimal blade pitch control for enhancing the dynamic performance of wind power plants via metaheuristicoptimisers. IET Electric Power Applications, 11(8), 1432-1440.

[58]. Tafti, H. D., Maswood, A. I., Konstantinou, G., Pou, J., & Blaabjerg, F. (2018). A general constant power generation algorithm for photovoltaic systems. IEEE Transactions on Power Electronics, 33(5), 4088-4101.

[59]. Villalva, M. G., Gazoli, J. R., & Ruppert Filho, E. (2009, September). Modeling and circuit-based simulation of photovoltaic arrays. In 2009 Brazilian Power Electronics Conference (pp. 1244-1254). IEEE.

[60]. Wang, J., Yang, W., Du, P., & Li, Y. (2018). Research and application of a hybrid forecasting framework based on multi-objective optimization for electrical power system. Energy, 148, 59-78.

[61]. Xing, Y., Wang, D., & Wang, L. (2018). A novel dynamic generalized opposition-based grey wolf optimization algorithm. Algorithms, 11(4), 47.

i-manager's Journal on Electrical Engineering (JEE)

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Volume 12 Issue 3 January - March 2019

Selection and Analysis of 5 KW Grid Connected Roof Top Solar Power Plant: A Case Study

B. H. Band* , Costas S. Tzafestas**

* Assistant Professor, Department of Electrical Engineering, PRMCEAM, Badnera, Maharashtra, India. ** Assistant Professor, Department of Electronics and Tele-communication, PRMCEAM, Badnera, Maharashtra, India.

Band, B., H., & Ingole, A., D. (2019). Selection and Analysis of 5 KW Grid Connected Roof Top Solar Power Plant: A Case Study. i-manager’s Journal on Electrical Engineering, 12(3), 1-8. https://doi.org/10.26634/jee.12.3.14804

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Diagnosis of Stator Inter-Turn Fault in PWM Inverter Fed Induction Motor by Advanced DSP Technique

Khadim Moin Siddiqui* , Kuldeep Sahay **, V. K. Giri***

Siddiqui , K., M., Sahay, K., & Giri, V., K. (2019). Diagnosis of Stator Inter-Turn Fault in PWM Inverter Fed Induction Motor by Advanced DSP Technique i-manager’s Journal on Electrical Engineering, 12(3), 9-20. https://doi.org/10.26634/jee.12.3.14892

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Smart Irrigation Integrated With IoT

V. R. Dharunkarthi * , R. Praveen **, S. Srikailainath ***, E. Karthick Raja ****, S. Gayathri*****

*-**** Final Year, Department of Electrical & Electronics Engineering, AVS Engineering College, Ammapet, Salem, India. ***** Assistant Professor, Department of Electrical & Electronics Engineering, AVS Engineering College, Ammapet, Salem, India.

Dharunkarthi , V., R., Praveen , R., Srikailainath, S., Raja, E., K., & Gayathri, S. (2019). Smart Irrigation Integrated With IoT i-manager’s Journal on Electrical Engineering, 12(3), 21-27. https://doi.org/10.26634/jee.12.3.15738

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Detection and Classification of Single Line to Ground Boundary Faults in a 138 kV Six Phase Transmission Line using Hilbert Huang Transform

Gaurav Kapoor*

*Department of Electrical Engineering, Modi Institute of Technology, Rajasthan Technical University, Rawatbhata Road, Nayagaon, Kota,Rajasthan, India.

Kapoor, G. (2019). Detection and Classification of Single Line to Ground Boundary Faults in a 138 kV Six Phase Transmission Line using Hilbert Huang Transform.i-manager’s Journal on Electrical Engineering, 12(3), 28-41. https://doi.org/10.26634/jee.12.3.15382

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Whale Optimization Algorithm Based Optimal MPPT of PV Power Plant (Real Case Study)

Sayed A. Helal * , M. A. Ebrahim **, Nessreen M. Rady ***, Mohamed M. Salama****

* North Cairo for Electricity Distribution Company, Cairo, Egypt. **,**** Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt. *** New and Renewable Department of Egyptian Electricity Holding Company, Cairo, Egypt.

Helal , S., A., Ebrahim, M., A., Rady, N., M., & Salama, M., M. (2019). Whale Optimization Algorithm Based Optimal MPPT of Pv Power Plant (Real Case Study)i-manager’s Journal on Electrical Engineering, 12(3), 42-55. https://doi.org/10.26634/jee.12.3.15144

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* Assistant Professor, Department of Electrical Engineering, PRMCEAM, Badnera, Maharashtra, India.

** Assistant Professor, Department of Electronics and Tele-communication, PRMCEAM, Badnera, Maharashtra, India.

Khadim Moin Siddiqui* , Kuldeep Sahay , V. K. Giri*

V. R. Dharunkarthi * , R. Praveen , S. Srikailainath , E. Karthick Raja , S. Gayathri

- Final Year, Department of Electrical & Electronics Engineering, AVS Engineering College, Ammapet, Salem, India.

Assistant Professor, Department of Electrical & Electronics Engineering, AVS Engineering College, Ammapet, Salem, India.

Sayed A. Helal * , M. A. Ebrahim , Nessreen M. Rady *, Mohamed M. Salama****

* North Cairo for Electricity Distribution Company, Cairo, Egypt.

, Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt.

* New and Renewable Department of Egyptian Electricity Holding Company, Cairo, Egypt.