i-manager Publications

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

Current Issue Vol. 18 Issue 1

PV-grid Performance improvement through Integrated Intelligent Water Drop Optimization with Neural Network for Maximum Power Point Tracking
A Digital Healthcare Monitoring System with Real-Time Analysis
Advancements in Smart Meter Design and Integration for Enhanced Energy Management and Efficiency
Electric Vehicles in Modern Transportation: Environmental Impacts, Configurations, and Future Trends – A Review
GTO Technique Based Hybrid Power System Controller Design

Most Cited

Volume 14 Issue 1 July - September 2020

Research Paper

Alleviation of Subsynchronous Resonance Torsional Oscillations Via Rectifier Controlled Braking Resistor

Mohamed Fayez Ahmed* , Fahmy Metwally Bendary , Mohamed El-Hadidy *, Mohamed Adel Mandor ****

* Cairo Electricity Production Company (CEPC), Cairo, Egypt.

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

* Egyptian Electricity Holding Company (EEHC), Cairo, Egypt.

Ahmed, M. F., Bendary, F. M., El-Hadidy, M., and Mandor, M. A. (2020). Alleviation of Subsynchronous Resonance Torsional Oscillations Via Rectifier Controlled Braking Resistor. i-manager's Journal on Electrical Engineering, 14(1), 1-12. https://doi.org/10.26634/jee.14.1.17436

Abstract

Subsynchronous resonance (SSR) oscillations is a problem of great interest in the industry. SSR causes torsional oscillations with ever-increasing amplitudes occurring in the machine shaft sections resulting in a significant premature loss of fatigue life of the shaft metal with the consequent irrevocable fatigue cracks or even a shaft fracture. The main objective of this article is to implement a modern dynamic braking resistor model, namely rectifier controlled braking resistor, controlled via fuzzy logic controller for tempering SSR oscillations. The proposed scheme is authenticated in this work using the wellknown IEEE second benchmark model via MATLAB/Simulink-based modeling and simulation environment. Comparative simulation study of the test system with and without the proposed scheme should demonstrate its effectuality for mitigation of SSR oscillations.

References

[1]. Ahmed, M. F., Ebrahim, M. A., El-Hadidy, M. A., & Mansour, W. M. (2016). Torsional oscillations mitigation via novel fuzzy control based braking resistor model. International Electrical Engineering Journal (IEEJ), 7, 2173- 2181.

[2]. Ahmed, M. F., Ebrahim, M. A., El-Hadidy, M. A., & Mansour, W. M. (2018). Torsional oscillations mitigation for interconnected power system via novel fuzzy control based braking resistor model. Conseil International Des Grands Réseaux Électriques (CIGRÉ), Paris, France (pp.1-9).

[3]. Ali, M. H., Mikami, T., Murata, T., & Tamura, J. (2004). A Fuzzy Logic Controlled Braking Resistor Scheme for Damping Shaft Torsional Oscillations. IEEJ Transactions on Power and Energy, 124(2), 207-214.

[4]. Ali, M. H., Murata, T., & Tamura, J. (2006). Effect of coordination of optimal reclosing and fuzzy controlled braking resistor on transient stability during unsuccessful reclosing. IEEE Transactions on Power Systems, 21(3), 1321- 1330.

[5]. Ali, M. H., Park, M., & Yu, I. K. (2008). Minimization of shaft torsional oscillations by fuzzy controlled braking resistor considering communication delay. WSEAS Transactions on Power Systems, 3(3), 82-89.

[6]. Ali, M. H., Park, M., Yu, I. K., Murata, T., & Tamura, J. (2007, October). Coordination of fuzzy controlled braking resistor and optimal reclosing for damping shaft-torsional oscillations of synchronous generator. In 2007 International Conference on Electrical Machines and Systems (ICEMS) (pp. 1259-1264). IEEE.

[7]. Altaş, I. H. (2017). Fuzzy Logic Control in Energy Systems with Design Applications in MATLAB®/Simulink®. The Institutions of Engineering and Technology.

[8]. Anderson, P. M., (1999). Power system protection. New Jersey: IEEE Press.

[9]. Das, B., & Ghosh, A. (1998). A novel control strategy for a braking resistor. International Journal of Electrical Power & Energy Systems, 20(6), 391-403.

[10]. EPRI Technical Report, (2005). Steam turbinegenerator torsional vibration interaction with the electrical network. Electric Power Research Institute (EPRI Technical Report 1011679). Retrieved from https://www.epri.com/#/ pages/product/1011679/?lang=en-US

[11]. Eremia, M., Liu, C. C., & Edris, A. A. (Eds.). (2016). Advanced solutions in power systems: HVDC, FACTS, and Artificial Intelligence. John Wiley & Sons.

[12]. IEEE Subsynchronous Resonance Working Group of the Dynamic System Performance Subcommittee Power System Engineering Committee. (1985). Second benchmark model for computer simulation of subsynchronous resonance. IEEE Transactions on Power Apparatus and Systems, PAS-104(5), 1057–1066. https:// doi.org/10.1109/TPAS.1985.323456

[13]. Hamouda, R. M., Al-Zaid, Z. R., & Mostafa, M. A. (2008, December). Damping torsional oscillations in large turbo-generators using Thyristor Controlled Braking Resistors. In 2008 Australasian Universities Power Engineering Conference (pp. 1-6). IEEE.

[14]. Helmy, S., El-Wakeel, A. S., Rahman, M. A., & Badr, M. A. (2012). Mitigating subsynchronous resonance torques using dynamic braking resistor. Journal of Energy and Power Engineering, 6(5), 833-839.

[15]. Johnson, R. M. (1994). Dynamic brake control to reduce turbine shaft transient torque. Final report (No. EPRITR- 103902). Electric Power Research Institute, Palo Alto, CA (United States); Montana State Univ., Bozeman, MT (United States). Dept. of Electrical Engineering.

[16]. Klempner, G., & Kerszenbaum, I. (2011). Handbook of large turbo-generator operation and maintenance (Vol. 38). John Wiley & Sons.

[17]. Kundur, P., Balu, N. J., & Lauby, M. G. (1994). Power system stability and control (Vol. 7). New York: McGraw-hill.

[18]. Mohagheghi, S., Harley, R. G., & Venayagamoorthy, G. K. (2004, October). Modified Takagi-Sugeno fuzzy logic based controllers for a static compensator in a multimachine power system. In Conference Record of the th 2004 IEEE Industry Applications Conference, 2004. 39 IAS Annual Meeting (Vol. 4, pp. 2637-2642). IEEE.

[19]. Nuthalapati, S. (Ed.). (2019). Power system grid operation using synchrophasor technology. Springer.

[20]. Panda, M. K., Pillai, G. N., & Kumar, V. (2012, December). Power system stabilizer design: Interval type-2 nd fuzzy logic controller approach. In 2012 2 International Conference on Power, Control and Embedded Systems (pp. 1-10). IEEE.

[21]. Rahim, A. H. M. A., & Al-Maghraby, H. M. (2000, July). Dynamic braking resistor for control of subsynchronous resonant modes. In 2000 Power Engineering Society Summer Meeting (Vol. 3, pp. 1930-1935). IEEE.

[22]. Rahim, A. H. M. A., & Al-Maghraby, H. M. (2003). Control of SSR oscillations through a Quasi-Optimum Dynamic Braking strategy. International Journal of Power & Energy Systems, 23(2), 90-95.

[23]. Rahim, A. H. M. A., & Al-Baiyat, S. A. (2000). Dynamic brake switching strategies for stabilization of power systems using artificial neural networks. Expert Systems with Applications, 18(2), 101-109. https://doi.org/10.1016/S0 957-4174(99)00056-1

[24]. Saluja, R., & Ali, M. H. (2013, February). Novel braking resistor models for transient stability enhancement in power grid system. In 2013 IEEE PES Innovative Smart Grid Technologies Conference (ISGT) (pp. 1-6). IEEE.

[25]. Saluja, R., Ghosh, S., & Ali, M. H. (2013, April). Transient stability enhancement of multi-machine power system by novel braking resistor models. In 2013 Proceedings of IEEE SoutheastCon (pp. 1-6). IEEE.

[26]. Walker, D. N., (2003). Torsional vibration of turbomachinery. New York:Tata McGraw-Hill, Inc.

[27]. Wang, L., & Lee, C. H. (1993, October). Application of dynamic resistance braking on stabilizing torsional oscillations. In Proceedings of TENCON'93: IEEE Region 10 International Conference on Computers, Communications and Automation (Vol. 5, pp. 145-148). IEEE.

[28]. Wasynczuk, O. (1981). Damping shaft torsional oscillations using a dynamically controlled resistor bank. IEEE Transactions on Power Apparatus and Systems, (7), 3340-3349.

Full Article (HTML)

Pdf

Research Paper

Frequency Regulation in a Multi-Area Power System in the Presence of Hybrid Power System using Support Vector Machine Based Load Frequency Controller

A. Padmaja* , K. R. Sudha**

* Department of Electrical & Electronics Engineering, JNTUK-UCEV, Vizianagaram, India.

** Department of Electrical Engineering, AUCE (A), Andhra University, Visakhapatnam, India.

Padmaja, A., and Sudha, K. R. (2020). Frequency Regulation in a Multi-Area Power System in the Presence of Hybrid Power System using Support Vector Machine Based Load Frequency Controller. i-manager's Journal on Electrical Engineering, 14(1), 13-24. https://doi.org/10.26634/jee.14.1.17619

Abstract

This work focuses on a unique approach for an on-line adaptive tuning of Support Vector Machine (SVM) controller to regulate power system frequency whenever load perturbation occurs. A multi-area power system integrating with Hybrid Wind-Diesel system is considered for the present analysis. The proposed SVM controller is trained by input-output dataset of Proportional-Integral-Derivative (PID)-Load Frequency Controller. Primarily, the SVM controller is trained and analyzed with a three-area, nine-machine power system by neglecting system non-linearities. Further, to account for real-time conditions of the power system, all non-linearities and system uncertainties including variable wind input power are considered for the simulation to test the efficacy of the designed controller. The results show the robustness of the designed SVM controller over conventional PID controller. SVM based Load Frequency Controller ensures the zero steady state error for deviations in the frequency and maintaining minimum over/undershoots, the settling time of the frequency and deviation in the tie-line power under all operating conditions.

References

[1]. Abe, S. (2005). Support vector machines for pattern classification (Vol. 2, p. 44). London: Springer.

[2]. Bevrani, H. (2009). Robust power system frequency control. New York: Springer.

[3]. Bevrani, H., & Hiyama, T. (2011). Intelligent automatic generation control. Taylor & Francis Group.

[4]. Boonprasert, U., Rakpenthai, C., Theera-Umpon, N. A. (2002). Comparison of support vector machines and back propagation neural networks in adaptive power system th stabilizer. In Proceedings of the 25 Electrical Engineering Conference, PW278-282, Prince of Songkla University, Thailand.

[5]. Boonprasert, U., Theera-Umpon, N., & Rakpenthai, C. (2003, May). Support vector regression based adaptive power system stabilizer. In Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS'03. (Vol. 3, pp. III-III). IEEE. https://doi.org/10.1109/ ISCAS.2003.1205033

[6]. Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine Learning, 20(3), 273-297.

[7]. Hunter, R., & Elliot, G. (Eds.). (1994). Wind-diesel systems: A guide to the technology and its implementation. Cambridge University Press.

[8]. Liu, J., Zhao, Z., Tang, C., Yao, C., Li, C., & Islam, S. (2019). Classifying transformer winding deformation fault types and degrees using FRA based on support vector machine. IEEE Access, 7, 112494-112504.

[9]. Li, X., Wu, S., Li, X., Yuan, H., & Zhao, D. (2020). Particle Swarm Optimization-Support Vector Machine Model for Machinery Fault Diagnoses in High-Voltage Circuit Breakers. Chinese Journal of Mechanical Engineering, 33(1), 1-10. https://doi.org/10.1186/s10033-019-0428-5

[10]. Padmaja, A., & Sudha, K. R. (2017). Power system load frequency regulation using Monte-Carlo parameter estimation based support vector machine. Majlesi Journal of Energy Management, 6(4), 1-14.

[11]. Santhi, R. V., & Sudha, K. (2014). A robust decentralized controller for stand-alone wind systems and hybrid wind-diesel systems using type-2 fuzzy approach. International Journal of Signal Processing Systems, 2(1), 48- 54.

[12]. Shayeghi, H. A. S. H., Shayanfar, H. A., & Jalili, A. (2009). Load frequency control strategies: A state-of-the-art survey for the researcher. Energy Conversion and Management, 50(2), 344-353. https://doi.org/10.1016/j. enconman.2008.09.014

[13]. Sudha, K. R., Raju, Y. B., & Reddy, P. P. (2010). Adaptive power system stabilizer using support vector machine. International Journal of Encineerinc Science and Technology, 2(3), 442-447.

[14]. Supriyadi, C.A.N., Hashiguchi, T., Goda, T., & Tumiran. (2011). Control Scheme of Hybrid Wind-Diesel Power Generation System. In From Turbine to Wind Farms - Technical Requirements and Spin-Off Products. IntechOpen. https://doi.org/10.5772/15152

[15]. Vapnik, V. (2013). The nature of statistical learning theory. Springer Science & Business Media.

[16]. Yang, A., Li, W., & Yang, X. (2019). Short-term electricity load forecasting based on feature selection and least squares support vector machines. Knowledge-Based Systems, 163, 159-173.

Full Article (HTML)

Pdf

Research Paper

Rapid Estimation of AC Side Power Surge in HVDC Linked Asynchronous Grids

Govind Kant Mishra*

Electrical Engineering Department, A.P.J. Abdul Kalam Technical University, Lucknow, India.

Mishra, G. K. (2020). Rapid Estimation of AC Side Power Surge in HVDC Linked Asynchronous Grids. i-manager's Journal on Electrical Engineering, 14(1), 25-28. https://doi.org/10.26634/jee.14.1.17668

Abstract

This paper proposes a novel method of rapid calculation of the peak amplitude of the power surge at one of the AC side in the asynchronous grid connected with a HVDC network due to other AC side fault. The proposed approach is based on simple linear modeling of a HVDC network connecting two asynchronous AC grids. The proposed approach helps in the rapid estimation of peak value of power surge at the AC grid and hence quickly initiating protection measures. The proposed method has been implemented on standard PSCAD HVDC system and results have been compared with calculated values which verify the aforementioned approach.

References

[1]. Cao, P., Shu, H., Yang, B., Dong, J., Fang, Y., & Yu, T. (2018). Speeded-up robust features based single-ended travelling wave fault location: A practical case study in Yunnan power grid of China. IET Generation, Transmission & Distribution, 12(4), 886-894. https://doi.org/10.1049/iet-gtd. 2017.0735

[2]. Kim, C. K., Sood, V. K., Jang, G. S., Lim, S. J., & Lee, S. J. (2010). HVDC Transmission: Power Conversion Applications in Power Systems. John Wiley and Sons. https://doi.org/10. 1002/9780470822975

[3]. Liu, Z., Yu, J., Guo, X., Sun, T., & Zhang, J. (2015). Survey of technologies of line commutated converter based high voltage direct current transmission in China. CSEE Journal of Power and Energy Systems, 1(2), 1-8. https://doi.org/10. 17775/cseejpes.2015.00014

[4]. Padiyar, K. R. (1990). HVDC power transmission systems: Technology and system interactions. NY: Wiley.

[5]. PowerFactory. 2009). PowerFactory - Short-Circuit Method IEC 61363: Technical Reference. DIgSILENT GmbH, Germany. Retrieved https://www.academia.edu/1562837 5/Short_Circuit_Method_IEC_61363_Technical_Reference

[6]. Rahimi, E., Gole, A. M., Davies, J. B., Fernando, I. T., & Kent, K. L. (2010). Commutation failure analysis in multiinfeed HVDC systems. IEEE Transactions on Power Delivery, 26(1), 378-384. https://doi.org/10.1109/TPWRD.2010.2081 692

[7]. Szechtman, M., Wess, T., & Thio, C. V. (1991, September). A benchmark model for HVDC system studies. In International Conference on AC and DC Power Transmission (pp. 374-378). IET.

[8]. Thio, C. V., Davies, J. B., & Kent, K. L. (1996). Commutation failures in HVDC transmission systems. IEEE Transactions on Power Delivery, 11(2), 946-957. https://doi. org/10.1109/61.489356

[9]. Venkatesh, C., & Rao, P. V. (2016, March). Wavelet-ANN based classification of HVDC converter faults. In 2016, IEEE 6th International Conference on Power Systems (ICPS) (pp. 1-5). IEEE. https://doi.org/10.1109/ICPES.2016.7584032

[10]. Wu, T., Zheng, Y., Liu, Q., Sun, G., Wang, X., & Li, X. (2020). Continuous commutation failure suppression method based on self-adaptive auto-disturbance rejection proportional-integral controller for HVDC transmission system. Journal of Modern Power Systems and Clean Energy, 8(6), 1178-1187. https://doi.org/10.35833/ MPCE.2019.000431

[11]. Yin, C., & Li, F. (2020). Real-Time Calculation Method of DC Voltage and Current to Eliminate the Influence of Signal Delay. IEEE Access, 8, 157168-157176. https://doi. org/10.1109/ACCESS.2020.3019594

Full Article (HTML)

Pdf

Research Paper

Performance and Analysis of Multiple Renewable Sources in a Standalone Microgrid

Ch. Laxmi* , M. Narendra Kumar , Kuldip Singh *

, Centurion University of Technology and Management, Odisha, India.

Srinivasa Institute of Engineering and Technology, Amalapuram, Andra Pradesh, India.

Laxmi, C., Kumar, M. N., and Singh, K. (2020). Performance and Analysis of Multiple Renewable Sources in a Standalone Microgrid. i-manager's Journal on Electrical Engineering, 14(1), 29-35. https://doi.org/10.26634/jee.14.1.17594

Abstract

Several renewable sources are utilized with parallel operation with sharing of load depending on dynamic changes in the environmental parameters. Compared to other renewable energy sources, wind is the second largest and highest energy sharing renewable energy source. However, the initial construction cost is high as compared to other renewable sources. After wind systems, solar power generation (PVA) are considered to be most promising renewable sources followed by fuel cell stack. In this paper, we have modeled a standalone renewable source microgrid with multiple sources, viz. wind power generation using PMSG, PVA and battery storage system. Performance of each source is done with respect to variation of load and variation of source parameters such as wind speed, irradiation, temperature and state of charge of the battery. For backup power supply to the load during failure of the renewable sources a battery storage source is provided. This storage source (battery) can be charged when excess power is generated from the solar (PVA) and wind power generation system. Analysis on each sources with dynamic changes of parameters are produced with explanatory graphical representations is done using ‘powergui’ block available in MATLAB Simulink software.

References

[1]. Barbosa, P. G., Rolim, L. G. B., Tavares, V. V., Watanabe, E. H., & Hanitsch, R. (1995, December). Novel control strategy for grid-connected DC/AC converters with load power factor and MPPT control. In Congresso Brasileiro de Eletrônica de Potência, COBEP. (pp. 327-332).

[2]. Bajpai, P., & Dash, V. (2012). Hybrid renewable energy systems for power generation in stand-alone applications: A review. Renewable and Sustainable Energy Reviews,16(5), 2926-2939. https://doi.org/10.1016/j.rser.2012.02. 009

[3]. Dahono, P. A., & Purwadi, A. (1995, February). An LC filter design method for single-phase PWM inverters. In Proceedings of 1995 International Conference on Power Electronics and Drive Systems. PEDS 95 (pp. 571-576). IEEE.

[4]. Ding, F., Li, P., Huang, B., Gao, F., Ding, C., & Wang, C. (2010, September). Modeling and simulation of gridconnected hybrid photovoltaic/battery distributed generation system. In 2010, Proceedings of China International Conference on Electricity Distribution (CICED) (pp. 1-10). IEEE.

[5]. Faranda, R., Leva, S., & Maugeri, V. (2008, July). MPPT techniques for PV systems: Energetic and cost comparison. In 2008, IEEE Power and Energy Society General Meeting Conversion and Delivery of Electrical Energy in the 21st Century (pp. 1-6). IEEE.

[6]. Koch, F. W., Erlich, I., & Shewarega, F. (2003, July). Dynamic simulation of large wind farms integrated in a multimachine network. In 2003, IEEE Power Engineering Society General Meeting (Vol. 4, pp. 2159-2164). IEEE.

[7]. Lew, D. J., Barley, C. D., & Flowers, L. T. (1997, March). Hybrid wind/photovoltaic systems for households in inner Mongolia. In International Conference on village Electrification through Renewable Energy, New Delhi (pp. 3-5).

[8]. Neris, A. S., Vovos, N. A., & Giannakopoulos, G. B. (1999). A variable speed wind energy conversion scheme for connection to weak AC systems. IEEE Transactions on Energy Conversion, 14(1), 122-127. https://doi.org/10.110 9/60.749157

[9]. Salas, V., Olias, E., Barrado, A., & Lazaro, A. (2006). Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems. Solar Energy Materials and Solar Cells, 90(11), 1555-1578.

[10]. Wai, R. J., Wang, W. H., & Lin, C. Y. (2008). Highperformance stand-alone photovoltaic generation system. IEEE Transactions on Industrial Electronics, 55(1), 240-250. https://doi.org/10.1109/TIE.2007.896049

Full Article (HTML)

Pdf

Research Paper

Power Quality Issues in Grid Integrated Solar PV

Kapil Varshney* , Muskaan Ahuja**

*-** Department of Electrical Engineering, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, Sonipat, Haryana, India.

Varshney, K., and Ahuja, M. (2020). Power Quality Issues in Grid Integrated Solar PV. i-manager's Journal on Electrical Engineering, 14(1), 36-41. https://doi.org/10.26634/jee.14.1.17633

Abstract

In last few years, photovoltaic (PV) system become quite popular in domestic level to due to generate electricity, technical feasibility and easy installation. Government is also promoting this by providing subsidies to install solar PV systems. In this study, grid integrated solar PV system is proposed and various powers quality issues in integration are studied. The proposed system comprises of a PV system with variable irradiance which gives variable voltage and current, the PWM type inverter is used to reduce harmonic and convert DC power into AC power for grid integration. These results show various power quality (PQ) issues, i.e., voltage sag swell and harmonic distortion during grid integration occurs on grid. The STATCOM based compensator is proposed to improve power quality to keep different problems within the IEEE standards. The proposed model is developed, simulated and analyzed in MATLAB /SIMULINK environment and the results are discussed.

References

[1]. Mohammed, A. Y., Mohammed, F. I., & Ibrahim, M. Y. (2017, January). Grid connected photovoltaic system. In 2017, International Conference on Communication, Control, Computing and Electronics Engineering (ICCCCEE) (pp. 1-5). IEEE. https://doi.org/10.1109/ICCCCE E.2017.7867659

[2]. Ashwini, K., Raj, A., & Gupta, M. (2016, December). Performance assessment and orientation optimization of 100 kWp grid connected solar PV system in Indian scenario. In 2016 International Conference on Recent Advances and Innovations in Engineering (ICRAIE) (pp. 1-7). IEEE.

[3]. Chidurala, A., Saha, T. K., Mithulananthan, N., & Bansal, R. C. (2014, July). Harmonic emissions in grid connected PV systems: A case study on a large scale rooftop PV site. In 2014 IEEE PES General Meeting| Conference & Exposition (pp. 1-5). IEEE.

[4]. Dawn, S., Tiwari, P. K., Goswami, A. K., & Mishra, M. K. (2016). Recent developments of solar energy in India: Perspectives, strategies and future goals. Renewable and Sustainable Energy Reviews, 62, 215-235. https://doi. org/10.1016/j.rser.2016.04.040

[5]. Devassy, S., & Singh, B. (2015, December). Enhancement of power quality using solar PV integrated UPQC. In 2015 39th National Systems Conference (NSC) (pp. 1-6). IEEE. https://doi.org/10.1109/NATSYS.2015.7489078

[6]. Dheeban, S. S., & Kamaraj, V. (2016, March). Grid integration of 10kW solar panel. In 2016 3rd International Conference on Electrical Energy Systems (ICEES) (pp. 257- 266). IEEE. https://doi.org/10.1109/ICEES.2016.7510650

[7]. Eltawil, M. A., & Zhao, Z. (2010). Grid-connected photovoltaic power systems: Technical and potential problems: A review. Renewable and Sustainable Energy Reviews, 14(1), 112-129. https://doi.org/10.1016/j.rser. 2009.07.015

[8]. Khadem, S. K., Basu, M., & Conlon, M. (2010). Power quality in grid connected renewable energy systems: Role of custom power devices. International Conference on Renewable Energies and Power Quality, 1, 876-882.

[9]. Liang, X. (2016). Emerging power quality challenges due to integration of renewable energy sources. IEEE Transactions on Industry Applications, 53(2), 855-866. https: //doi.org/10.1109/TIA.2016.2626253

[10]. Pailwan, A. V., Chatterjee, I., & Rajamani, K. (2016, December). Roof top photovoltaic grid integration: Utility approach. In 2016 International Conference on Electrical Power and Energy Systems (ICEPES) (pp. 175-181). IEEE. https://doi.org/10.1109/ICEPES.2016.7915926

[11]. Rahmani, B., Li, W., & Liu, G. (2015). An Advanced Universal Power Quality Conditioning System and MPPT method for grid integration of photovoltaic systems. International Journal of Electrical Power & Energy Systems, 69, 76-84. https://doi.org/10.1016/j.ijepes.2014.12.031

[12]. Raut, D. B., & Bhattrai, A. (2013). Performance analysis of grid connected solar PV system using Matlab/Simulink, In RENTECH Symposium on Renewable Energy Technology, Nepal (Vol. 3) (pp. 48-54).

[13]. Rodway, J., Musilek, P., Misak, S., & Prokop, L. (2013, August). Prediction of PV power quality: Total harmonic distortion of current. In 2013 IEEE Electrical Power & Energy Conference (pp. 1-4). IEEE.

[14]. Shrivastava, A., & Nene, P. (2015, April). Power quality enhancement using UPQC connected with PV arrays. In 2015 Fifth International Conference on Communication Systems and Network Technologies (pp. 1232-1237). IEEE.https://doi.org/10.1109/CSNT.2015.283

[15]. Yang, Y., Sangwongwanich, A., & Blaabjerg, F. (2016). Design for reliability of power electronics for gridconnected photovoltaic systems. CPSS Transactions on Power Electronics and Applications, 1(1), 92–103. https:// doi.org/10.24295/cpsstpea.2016.00009

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

Current Issue Vol. 18 Issue 1

Most Read

Most Cited

Volume 14 Issue 1 July - September 2020

Alleviation of Subsynchronous Resonance Torsional Oscillations Via Rectifier Controlled Braking Resistor

Mohamed Fayez Ahmed* , Fahmy Metwally Bendary **, Mohamed El-Hadidy ***, Mohamed Adel Mandor ****

* Cairo Electricity Production Company (CEPC), Cairo, Egypt. **,**** Electrical Engineering Department, Faculty of Engineering Shoubra, Benha University, Cairo, Egypt. *** Egyptian Electricity Holding Company (EEHC), Cairo, Egypt.

Ahmed, M. F., Bendary, F. M., El-Hadidy, M., and Mandor, M. A. (2020). Alleviation of Subsynchronous Resonance Torsional Oscillations Via Rectifier Controlled Braking Resistor. i-manager's Journal on Electrical Engineering, 14(1), 1-12. https://doi.org/10.26634/jee.14.1.17436

Abstract

References

Full Article (HTML)

Pdf

Frequency Regulation in a Multi-Area Power System in the Presence of Hybrid Power System using Support Vector Machine Based Load Frequency Controller

A. Padmaja* , K. R. Sudha**

* Department of Electrical & Electronics Engineering, JNTUK-UCEV, Vizianagaram, India. ** Department of Electrical Engineering, AUCE (A), Andhra University, Visakhapatnam, India.

Padmaja, A., and Sudha, K. R. (2020). Frequency Regulation in a Multi-Area Power System in the Presence of Hybrid Power System using Support Vector Machine Based Load Frequency Controller. i-manager's Journal on Electrical Engineering, 14(1), 13-24. https://doi.org/10.26634/jee.14.1.17619

Abstract

References

Full Article (HTML)

Pdf

Rapid Estimation of AC Side Power Surge in HVDC Linked Asynchronous Grids

Govind Kant Mishra*

Electrical Engineering Department, A.P.J. Abdul Kalam Technical University, Lucknow, India.

Mishra, G. K. (2020). Rapid Estimation of AC Side Power Surge in HVDC Linked Asynchronous Grids. i-manager's Journal on Electrical Engineering, 14(1), 25-28. https://doi.org/10.26634/jee.14.1.17668

Abstract

References

Full Article (HTML)

Pdf

Performance and Analysis of Multiple Renewable Sources in a Standalone Microgrid

Ch. Laxmi* , M. Narendra Kumar **, Kuldip Singh ***

*,*** Centurion University of Technology and Management, Odisha, India. ** Srinivasa Institute of Engineering and Technology, Amalapuram, Andra Pradesh, India.

Laxmi, C., Kumar, M. N., and Singh, K. (2020). Performance and Analysis of Multiple Renewable Sources in a Standalone Microgrid. i-manager's Journal on Electrical Engineering, 14(1), 29-35. https://doi.org/10.26634/jee.14.1.17594

Abstract

References

Full Article (HTML)

Pdf

Power Quality Issues in Grid Integrated Solar PV

Kapil Varshney* , Muskaan Ahuja**

*-** Department of Electrical Engineering, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, Sonipat, Haryana, India.

Varshney, K., and Ahuja, M. (2020). Power Quality Issues in Grid Integrated Solar PV. i-manager's Journal on Electrical Engineering, 14(1), 36-41. https://doi.org/10.26634/jee.14.1.17633

Abstract

References

Full Article (HTML)

Pdf

Mohamed Fayez Ahmed* , Fahmy Metwally Bendary , Mohamed El-Hadidy *, Mohamed Adel Mandor ****

* Cairo Electricity Production Company (CEPC), Cairo, Egypt.

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

* Egyptian Electricity Holding Company (EEHC), Cairo, Egypt.

* Department of Electrical & Electronics Engineering, JNTUK-UCEV, Vizianagaram, India.

** Department of Electrical Engineering, AUCE (A), Andhra University, Visakhapatnam, India.

Ch. Laxmi* , M. Narendra Kumar , Kuldip Singh *

, Centurion University of Technology and Management, Odisha, India.

Srinivasa Institute of Engineering and Technology, Amalapuram, Andra Pradesh, India.