i-manager Publications

i-manager's Journal on Power Systems Engineering (JPS)

Current Issue Vol. 11 Issue 3

Voltage Stability and Power Loss Minimization with STATCOM using Particle Swarm Optimization and Hybrid Firefly Particle Swarm Optimization Algorithms
Load Frequency Control of Multi Area Power System Network with Soft Computing Algorithm Based Controller and Coordinated Strategy of TCSC and Battery Energy Storage
Performance Analysis of Distribution System under Different Loading Conditions using Test Bench
Simulation of Solar PV with Different Control System of Boost Converter for Composite Climate
Enhancement of System Performance using PeSche Scheduling Algorithm on Multiprocessors

Most Cited

Volume 10 Issue 1 February - April 2022

Research Paper

Exergoeconomic Analysis and Parametric Investigation of a Gas Turbine Power Plant

Mohamed A. Elhaj* , Malik F. Elmzughi, Elhadi I. Dekam, Ali G. Almuzwghi, Khaled Seddig

-, Department of Mechanical and Industrial Engineering, Faculty of Engineering, University of Tripoli, Tripoli, Libya.

** Department of Electronics and Telecom Communication Engineering, Technical College of Civil Aviation & Meteorology, Esbea, Tripoli/Libya.

Elhaj, M. A., Elmzughi, M. F., Dekam, E. I., Almuzwghi, A. G., and Seddig, K. (2022). Exergoeconomic Analysis and Parametric Investigation of a Gas Turbine Power Plant. i-manager’s Journal on Power Systems Engineering, 10(1), 1-12. https://doi.org/10.26634/jps.10.1.18827

Abstract

Thermoeconomic models, combining the concept of cost in economics and the concept of exergy in thermodynamics, provide the ability to optimize complex power generation systems to achieve the best balance between thermodynamic efficiency and economic cost. In this paper, a parametric analysis was carried out based on the method of calculating the unit exergy cost, as well as exergo-economic studies and cost sensitivity studies on the exergy of the cycle of a gas turbine power plant. The mathematical models of mass, energy, effort, and economy were created and presented. Thermodynamic properties and research analysis are performed using the MINI- REFerence fluid PROPerties (MINI-REFPROP) and matrix laboratory (MATLAB) SIMULINK software packages. The analysis leads to valuable benchmarks of the economic situation. The exergo-economic coefficient, the total cost of exergy loss, exergy destruction for the combustion chamber, and labor productivity are determined. When conducting parametric studies, the influence of the temperature at the inlet to the gas turbine, the temperature at the inlet to the air compressor, and the degree of pressure increase in the compressor were taken into account. The combustion chamber at the plant was found to have the highest energy destruction rate of 80%, indicating that boilers need to be given more attention in terms of design, selection, operation, and maintenance. However, in percentage terms, the combustion chamber has a high improvement potential of 94%. Sensitivity and parametric analysis show that while the exergy factor, the total cost of exergy loss, exergy destruction for the combustion chamber, and power output fall with increasing air compressor inlet temperature, it can be increased with increasing compressor pressure ratio. The total energy loss cost, combustor energy loss, and power output decrease as the gas turbine inlet temperature rises, while the cycle network and overall exergy destruction rate increase. The rates of the exergy destruction of the Venture Capital (VC), the combustion chamber of the combustion chamber, and the total exergy destruction are 25.2, 122.3, and 153.2 MW, respectively, for the proposed conditions. In addition, the results showed that it was $2,272 per hour, while the cost of work performed in energy terms is $1,769 per hour with a fuel cost of $0.003 per MJ. A valuable achievement is the availability of defined values and clear parametric influences, which can be of great help to engineers and site operators in the efficient execution of unique tasks, playing with the conflicts of energy use, exergy, and cost.

References

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[2]. Ahmadi, P., Dincer, I., & Rosen, M. A. (2012). Exergoenvironmental analysis of an integrated organic Rankine cycle for trigeneration. Energy Conversion and Management, 64, 447-453. https://doi.org/10.1016/j.enconman.2012.06.001

[3]. Ameri, M., Ahmadi, P. & Khanmohammadi, S. (2008). Exergy analysis of a 420 MW combined cycle power plant. International Journal of Energy Research, 32(2), 175-183. https://doi.org/10.1002/er.1351

[4]. Bolatturk, A., Coskun, A., & Geredelioglu, C. (2015). Thermodynamic and exergoeconomic analysis of Çayırhan thermal power plant. Energy Conversion and Management, 101, 371-378. https://doi.org/10.1016/j.enconman.2015.05.072

[5]. Ebadi, M. J., & Gorji-Bandpy, M. (2005). Exergetic analysis of gas turbine plants. International Journal of Exergy, 2(1), 31-39.

[6]. Ehyaei, M. A., & Mozafari, A. (2010). Energy, economic and environmental (3E) analysis of a micro gas turbine employed for on-site combined heat and power production. Energy and Buildings, 42(2), 259-264. https://doi.org/10.1016/j.enbuild.2009.09.001

[7]. Seyyedi, S. M., Ajam, H., & Farahat, S. (2011). Thermoenvironomic optimization of gas turbine cycles with air preheat. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 225(1), 12-23. https://doi.org/10.1177/09576509JPE959

[8]. Ehyaei, M. A., Mozafari, A., & Alibiglou, M. H. (2011). Exergy, economic & environmental (3E) analysis of inlet fogging for gas turbine power plant. Energy, 36(12), 6851-6861. https://doi.org/10.1016/j.energy.2011.10.011

[9]. Ehyaei, M. A., Tahani, M., Ahmadi, P., & Esfandiari, M. (2015). Optimization of fog inlet air cooling system for combined cycle power plants using genetic algorithm. Applied Thermal Engineering, 76, 449-461. https://doi.org/10.1016/j.applthermaleng.2014.11.032

[10]. Khaljani, M., Saray, R. K., & Bahlouli, K. (2015). Comprehensive analysis of energy, exergy and exergoeconomic of cogeneration of heat and power in a combined gas turbine and organic Rankine cycle. Energy Conversion and Management, 97, 154-165. https://doi.org/10.1016/j.enconman.2015.02.067

[11]. El-Emam, R. S., & Dincer, I. (2013). Exergy and exergoeconomic analyses and optimization of geothermal organic Rankine cycle. Applied Thermal Engineering, 59(1-2), 435-444. https://doi.org/10.1016/j.applthermaleng.2013.06.005

[12]. Elmzughi, M. F., Dekam, E. I., Radwan, E. M., & Bahoor, M. A. (2020c). Exergoeconomic and optimization analyses of cogeneration steam power plants based on the thermoeconomic approach. Journal on Future Engineering & Technology, 16(2), 22-31.

[13]. Elmzughi, M. F., Radwan, E. M., Bahoor, M. A., & Dekam, E. I. (2020a). Advanced exergoeconomic and exergy cost sensitivity analyses of steam power plants. International Journal of Scientific Engineering and Applied Science, 6(8), 16-32.

[14]. Elmzughi, M. F., Radwan, E. M., Bahoor, M. A., & Dekam, E. I. (2020b). Part load 2nd law analyses of, 3-pressure stage turbines with 6 heaters, 350 MW power plants. Journal of Research in Mechanical Engineering, 6(1), 25-33.

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[17]. Boyaghchi, F. A., & Molaie, H. (2015). Advanced exergy and environmental analyses and multi objective optimization of a real combined cycle power plant with supplementary firing using evolutionary algorithm. Energy, 93, 2267-2279. https://doi.org/10.1016/j.energy.2015.10.094

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[21]. Radwan, E. M. & Bahoor, M. A. (2019). Advanced Exergoeconomic and Exergy Cost Sensitivity Analyses of 350MW Steam Power Plants (Doctoral dissertation, University of Tripoli).

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Research Paper

Short-Term Load Forecasting using Artificial Neural Network

Vidya Pawar* , Shekhappa Giriyappa Ankaliki, Manjula S. Sureban*

, Department of Electrical & Electronics Engineering, Sri Dharmasthala Manjunatheshwara College of Engineering and Technology, Dharwad, Karnataka, India.

Department of Electrical & Electronics Engineering, Visvesvaraya Technological University, Belagavi, Karnataka, India.

Pawar, V., Ankaliki, S. G., and Sureban, M. S. (2022). Short-Term Load Forecasting using Artificial Neural Network. i-manager’s Journal on Power Systems Engineering, 10(1), 13-23. https://doi.org/10.26634/jps.10.1.18841

Abstract

One of the major research topics in electrical engineering in recent years is load prediction. Short-term load forecasting is necessary for the design, operation, and management of the power system. It is used, among others, by utilities, system operators, electricity producers, and suppliers. Artificial Neural Networks (ANN) have been used for short-term load prediction. The work has been completed to ensure day-to-day operations. Here, the proposed neural networks were trained and tested using newly available data from Hubli Electricity Supply Company Limited (HESCOM). This paper presents a method for predicting the load of a power system based on a Neural Network (NN). Matrix Laboratory (MATLAB) software is used to create training and test simulations. The error was defined as Mean Absolute Percentage Error (MAPE).

References

[1]. Anwar, T., Sharma, B., Chakraborty, K., & Sirohia, H. (2018). Introduction to load forecasting. International Journal of Pure and Applied Mathematics, 119(15), 1527-1538.

[2]. Chafi, Z. S., & Afrakhte, H. (2021). Short-term load forecasting using neural network and particle swarm optimization (PSO) algorithm. Mathematical Problems in Engineering, 2021, (pp. 10). https://doi.org/10.1155/2021/5598267

[3]. Feilat, E. A., AI-Sha'abi, T., & Momani, M. (2017). Longterm load forecasting using neural network approach for Jordan's power system. Engineering Press. 1(2), 43-50. https://doi.org/10.28964/EngPress-1-108

[4]. Samuel, I., Ojewola, T., Awelewa, A.,& Amaize, P. (2016). Short-term load forecasting using the time series and artificial neural network methods. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), 11(1), 72–81. https://doi.org/10.9790/1676-11137281

[5]. Sheikh, S. K., & Unde, M. G. (2012). Short term load forecasting using ANN technique. International Journal of Engineering Sciences & Emerging Technologies, 1(2), 97-107.

[6]. Singh, S., Hussain, S., & Bazaz, M. A.(2017). Short term load forecasting using artificial neural network. In 2017, Fourth International Conference on Image Information Processing (ICIIP), 159-163. https://doi.org/10.1109/ICIIP.2017.8313703

[7]. Baliyan, A., Gaurav, K., & Mishra, S. (2015). A Review of Short Term Load Forecasting using Artificial Neural Network Models. Procedia Computer Science, 48, 121-125. https://doi.org/10.1016/j.procs.2015.04.160

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[9]. Singh, Arunesh & Chaturvedi, D (2012). Load Forecasting Techniques and Methodologies: A Review. 1-10.

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Research Paper

A Multiple Input DC-DC Converter for Solar PV Application with High Boosting Capability

Kavita Tamboli* , Naveen Goel**

*-** Department of Electrical & Electronics Engineering, Shri Shankaracharya Technical Campus- Shri Shankaracharya Group of Institutions, Bhilai, Chhattisgarh, India.

Tamboli, K., and Goel, N. (2022). A Multiple Input DC-DC Converter for Solar PV Application with High Boosting Capability. i-manager’s Journal on Power Systems Engineering, 10(1), 24-30. https://doi.org/10.26634/jps.10.1.18874

Abstract

A Multiple-Input Boost Converter (MIBC) with high boosting ability is suggested in this article. This converter can be utilized for solar photovoltaic applications. The converter is capable of driving continuous current from the sources. The converter's steady-state analysis is presented. The Maximum Power Point (MPP) tracking algorithm is applied for the absorption of peak power produced from the solar panels individually and simultaneously. The suggested converter can attain the voltage gain up to 20 times with maintaining continuity in the input current. The proposed MIBC's open-loop steady-state operation is validated in a simulation environment.

References

[1]. Jain, S., & Agarwal, V. (2007). A single-stage grid connected inverter topology for solar PV systems with maximum power point tracking. IEEE Transactions on Power Electronics, 22(5), 1928-1940. https://doi.org/10.1109/TPEL.2007. 904202

[2]. Kong, X., & Khambadkone, A. M. (2007). Analysis and implementation of a high efficiency, interleaved currentfed full bridge converter for fuel cell system. IEEE Transactions on Power Electronics, 22(2), 543-550. https://doi.org/10.1109/TPEL.2006.889985

[3]. Liu, C., & Lai, J. S. (2007). Low frequency current ripple reduction technique with active control in a fuel cell power system with inverter load. IEEE Transactions on Power Electronics, 22(4), 1429-1436. https://doi.org/10.1109/TPEL.2007. 900594

[4]. Ismail, E. H., Al-Saffar, M. A., Sabzali, A. J., & Fardoun, A. A. (2008). A family of single-switch PWM converters with high step-up conversion ratio. IEEE Transactions on Circuits and Systems I: Regular Papers, 55(4), 1159-1171. https://doi.org/10.1109/TCSI.2008.916427

[5]. Erickson, R. W., & Maksimovic, D. (2001). Fundamentals of Power Electronics. Springer, (pp. 904).

[6]. Li, W., & He, X. (2008). A family of interleaved DC–DC converters deduced from a basic cell with winding-crosscoupledinductors (WCCIs) for high step-upor step-down conversions. IEEE Transactions on Power Electronics, 23(4), 1791-1801. https://doi.org/10.1109/TPEL.2008.925204

[7]. Li, W., & He, X. (2007). An interleaved winding-coupled boost converter with passive lossless clamp circuits. IEEE Transactions on Power Electronics, 22(4), 1499-1507. https://doi.org/10.1109/TPEL.2007.900521

[8]. Li, W., Zhao, Y., Deng, Y., & He, X. (2010). Interleaved converter with voltage multiplier cell for high step-up and high-efficiency conversion. IEEE Transactions on Power Electronics, 25(9), 2397-2408. https://doi.org/10.1109/TPEL.2010.2048 340

[9]. Hsieh, Y. P., Chen, J. F., Liang, T. J., & Yang, L. S. (2010). A novel high step-up DC–DC converter for a microgrid system. IEEE Transactions on Power Electronics, 26(4), 1127-1136. https://doi.org/10.1109/TPEL.2010.2096826

[10]. Xie, R., Li, W., Zhao, Y., Zhao, J., He, X., & Cao, F. (2010). Performance analysis of isolated ZVT interleaved converter with winding-cross-coupled inductors and switched-capacitors. In 2010, IEEE Energy Conversion Congress and Exposition, 2025-2029. https://doi.org/ 10.1109/ECCE. 2010.5618103

[11]. Li, W., Li, W., He, X., Xu, D., & Wu, B. (2011). General derivation law of nonisolated high-step-up interleaved converters with built-in transformer. IEEE Transactions on Industrial Electronics, 59(3), 1650-1661. https://doi.org/10.1109/TIE. 2011.2163375

[12]. Tseng, K. C., Huang, C. C., & Shih, W. Y. (2012). A high step-up converter with a voltage multiplier module for a photovoltaic system. IEEE Transactions on Power Electronics, 28(6), 3047-3057. https://doi.org/10.1109/TPEL.2012. 2217157

[13]. Li, W., Zhao, Y., Wu, J., & He, X. (2009). Interleaved high step-up converter with winding-cross-coupled inductors and voltage multiplier cells. IEEE Transactions on Power Electronics, 27(1), 133-143. https://doi.org/10.1109/TPEL.2009. 2028688

[14]. Tseng, K. C., & Huang, C. C. (2013). High step-up high-efficiency interleaved converter with voltage multiplier module for renewable energy system. IEEE Transactions on Industrial Electronics, 61(3), 1311-1319. https://doi.org/10.1109/TIE.2013.2261036

[15]. Hu, Y., Deng, Y., Long, J., Lu, X., & He, X. (2013). A high step-up passive absorption circuit used in nonisolated high step-up converter. 2013 Twenty-Eighth Annual IEEE Applied Power Electronics Conference and Exposition (APEC), 1966-1971. https://doi.org/10.1109/APEC.2013. 6520564

[16]. Gummi, K., & Ferdowsi, M. (2008). Synthesis of double-input dc-dc converters using a single-pole triplethrow switch as a building block. In 2008 IEEE Power Electronics Specialists Conference, 2819-2823. https://doi.org/10.1109/PESC.2008.4592373

[17]. Prabhala, V. A. K., Somayajula, D., & Ferdowsi, M. (2009). Power sharing in a double-input buck converter using dead-time control. In 2009 IEEE Energy Conversion Congress and Exposition, 2621-2626. https://doi.org/10.1109/ECCE. 2009.5316355

[18]. Lee, S., Kim, P., & Choi, S. (2012). High step-up softswitched converters using voltage multiplier cells. IEEE Transactions on Power Electronics, 28(7), 3379-3387. https://doi.org/10.1109/TPEL.2012.2227508

[19]. Young, C. M., Chen, M. H., Chang, T. A., Ko, C. C., & Jen, K. K. (2012). Cascade Cockcroft–Walton voltage multiplier applied to transformerless high step-up DC–DC converter. IEEE Transactions on Industrial Electronics, 60(2), 523-537. https://doi.org/10.1109/TIE.2012.2188255

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[21]. Jang, Y., & Jovanovic, M. M. (2007). Interleaved boost converter with intrinsic voltage-doubler characteristic for universal-line PFC front end. IEEE Transactions on Power Electronics, 22(4), 1394-1401. https://doi.org/10.1109/TPEL.2007.900502

[22]. Prudente, M., Pfitscher, L. L., Emmendoerfer, G., Romaneli, E. F., & Gules, R. (2008). Voltage multiplier cells applied to non-isolated DC–DC converters. IEEE Transactions on Power Electronics, 23(2), 871-887. https://doi.org/10.1109/TPEL.2007.915762

[23]. Shen, Z. J., Xiong, Y., Cheng, X., Fu, Y., & Kumar, P. (2006). Power MOSFET switching loss analysis: A new insight. In Conference Record of the 2006 IEEE Industry Applications Conference Forty-First IAS Annual Meeting, 3, 1438-1442. https://doi.org/10.1109/IAS.2006.256719

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Research Paper

A Grid-Connected DVSI with Features to Enhance Power Quality

J. Archana * , K. Sunil, K. Mohanth Sai, D. Sowmya, K. Aneela

*-***** Department of Electrical and Electronics Engineering, Vignana Bharathi Technology, Ghatkesar, Hyderabad, Telangana, India.

Archana, J., Sunil, K., Sai, K. M., Sowmya, D., and Aneela, K. (2022). A Grid-Connected DVSI with Features to Enhance Power Quality. i-manager’s Journal on Power Systems Engineering, 10(1), 31-37. https://doi.org/10.26634/jps.10.1.18831

Abstract

A dual-source voltage inverter system is proposed to improve the power and consistency aspects of using a microgrid. Evaluation of the Proportional Integral (PI), the intelligent Fuzzy Logic Controller (FLC), and the developed control method is known as the Instantaneous Symmetrical Component Theory (ISCT). A Dual Voltage Source Inverter (DVSI) uses Distributed Energy Resources (DER) to exchange power and compensate for unbalanced and non-linear loads in the system. The direct-quadrature-zero transformation (Dq0) conversion is used to obtain the positive sequence voltage. To evaluate the system control method, an inverter connected to a three-phase, four-wire distribution combination is used. The proposed system is verified by MATLAB simulation methods using a PI controller and an intelligent FLC system.

References

[1]. Karthikeyan, K., & Sreenivasan, R. (2017). Analysis of power system stability using fuzzy-PID based STATCOMcontroller. In 2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering (ICEICE), 1-6. https://doi.org/10.1109/ICEICE.2017.8191948

[2]. Sundararaju, K., & Senthilkumar, R. (2016). Modelling and analysis of real time power system with cascaded multilevel STATCOM using fuzzy controller. Journal of Advances in Chemistry, 12(10), 4408-4417.

[3]. Kumar, M. M., Mishra, M. K., & Kumar, C. (2015). A gridconnected dual voltage source inverter with power quality improvement features. IEEE Transactions on Sustainable Energy, 6(2), 482-490. https://doi.org/10.1109/TSTE.2014.2386534

[4]. Venkateswarlu, K., Lavanya, P., & Rosaiah, M. (2015). Fuzzy logic based power quality improvement of grid connected facts device on integration of wind energy system. International Journal of Recent Scientific Research, 6(8), 5638-5644.

[5]. Kahrobaeian, A., & Mohamed, Y. A. R. I. (2012). Interactive distributed generation interface for flexible micro-grid operation in smart distribution systems. IEEE Transactions on Sustainable Energy, 3(2), 295-305. https://doi.org/10.1109/TSTE.2011.2178045

[6]. Majumder, R., Ghosh, A., Ledwich, G., & Zare, F. (2009). Load sharing and power quality enhanced operation of a distributed microgrid. IET Renewable Power Generation, 3(2), 109-119. https://doi.org/10.1049/iet-rpg:20080001

[7]. Guerrero, J. M., Loh, P. C., Lee, T. L., & Chandorkar, M. (2013). Advanced control architectures for intelligent microgrids—Part II: Power quality, energy storage, and AC/DC microgrids. IEEE Transactions on Industrial Electronics, 60(4), 1263-1270. https://doi.org/10.1109/TIE.2012.2196889

[8]. Li, Y., Vilathgamuwa, D. M., & Loh, P. C. (2005). Microgrid power quality enhancement using a threephase four-wire grid-interfacing compensator. IEEE Transactions on Industry Applications, 41(6), 1707-1719. https://doi.org/10.1109/TIA.2005.858262

[9]. Schonardie, M. F., Coelho, R. F., Schweitzer, R., & Martins, D. C. (2012). Control of the active and reactive power using dq0 transformation in a three-phase gridconnected PV system. In 2012, IEEE International Symposium on Industrial Electronics, 264-269. https://doi.org/10.1109/ISIE.2012.6237095

[10]. Bajpai, R. S., & Gupta, R. (2008). Voltage and power flow control of grid connected wind generation system using DSTATCOM. In 2008 IEEE Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21st Century, 1-6. https://doi.org/10.1109/PES.2008.4596831

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Research Paper

Fault Tolerant Multilevel Inverter

Sunil Manjhi* , Rajkumar Jhapte**

* Department of Electrical Engineering, Shri Shankaracharya Group of Institutions, Bhilai, Chhattisgarh, India.

** Department of Electrical and Electronics Engineering, Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India.

Manjhi, S., and Jhapte, R. (2022). Fault Tolerant Multilevel Inverter. i-manager’s Journal on Power Systems Engineering, 10(1), 38-45. https://doi.org/10.26634/jps.10.1.18709

Abstract

The steady rise in energy demand, combined with the loss of conventional resources, spurs research into environmentally benign renewable energy sources like solar and wind. These sources are appropriate for rural, urban, and offshore areas because to their ease of installation, low operating costs, and copious supply (sun light and wind). In the event of a problem, the distant locations are typically in the middle of nowhere, far away from technical support. This drives research towards fault-tolerant converter technology. These fault-tolerant converters improve reliability, ensuring that key loads receive uninterrupted power. This paper will discuss the redundant path approach, which is an essential part of controlling multilevel inverters under fault-conditions. Suggested fault diagnosing methods are also discussed in this paper. Computer simulation and lab results validate the proposed controls.

References

[1]. Alamri, B., & Darwish, M. (2015). Power loss investigation in HVDC for cascaded H-bridge multilevel inverters (CHB-MLI). In 2015 IEEE Eindhoven PowerTech, 1-7. https://doi.org/10.1109/PTC.2015.7232810

[2]. Bana, P. R., Panda, K. P., Naayagi, R. T., Siano, P., & Panda, G. (2019). Recently developed reduced switch multilevel inverter for renewable energy integration and drives application: topologies, comprehensive analysis and comparative evaluation. IEEE Access, 7, 54888-54909. https://doi.org/10.1109/ACCESS.2019.2913447

[3]. Bikdeli, E., & Islam, M. R. (2021). A New hybrid faulttolerant converter based on five-level active neutral point clamped inverter. In 2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA), 714-719. https://doi.org/10.1109/ICCCA52192.2021.9666298

[4]. Dewangan, N. K., Gupta, S., & Gupta, K. K. (2019). Approach to synthesis of fault tolerant reduced device count multilevel inverters (FT RDC MLIs). IET Power Electronics, 12(3), 476-482. https://doi.org/10.1049/ietpel.2018.5176

[5]. Gupta, K. K., Ranjan, A., Bhatnagar, P., Sahu, L. K., & Jain, S. (2015). Multilevel inverter topologies with reduced device count: A review. IEEE transactions on Power Electronics, 31(1), 135-151. https://doi.org/10.1109/TPEL.2015.2405012

[6]. Jalhotra, M., Allamsetty, H., & Kumar, L. (2017). A single phase fault tolerant multi level InverZter topology. In 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 1022-1026. https://doi.org/10.1109/RTEICT.2017.8256754

[7]. Khomfoi, S., & Tolbert, L. M. (2007). Fault diagnostic system for a multilevel inverter using a neural network. IEEE Transactions on Power Electronics, 22(3), 1062-1069. https://doi.org/10.1109/TPEL.2007.897128

[8]. Kumar, D., Nema, R. K., & Gupta, S. (2021). Investigation of fault-tolerant capabilities of some recent multilevel inverter topologies. International Journal of Electronics, 108(11), 1957-1976. https://doi.org/10.1080/00207217.2020.1870752

[9]. Kumar, V. P., & Fernandes, B. G. (2017). A fault-tolerant single-phase grid-connected inverter topology with enhanced reliability for solar PV applications. IEEE Journal of Emerging and Selected Topics in Power Electronics, 5(3), 1254-1262. https://doi.org/10.1109/JESTPE.2017.2687126

[10]. Rajalakshmi, S., & Rangarajan, P. (2019). Investigation of modified multilevel inverter topology for PV system. Microprocessors and Microsystems, 71, 102870. https://doi.org/10.1016/j.micpro.2019.102870

[11]. Rodriguez, J., Bernet, S., Steimer, P. K., & Lizama, I. E. (2009). A survey on neutral-point-clamped inverters. IEEE transactions on Industrial Electronics, 57(7), 2219-2230. https://doi.org/10.1109/TIE.2009.2032430M

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Research Paper

Solar Operated Automatic Seed Planting Device

G. Poorna Chandra Rao* , B. Gayathri, J. Bharath Kumar, K. Naveen Kumar, B. Saramma

*-***** Department of Electrical and Electronics Engineering, Vignana Bharathi Institute of Technology, Hyderabad, Telangana, India.

Rao, G. P. C., Gayathri, B., Kumar, J. B., Kumar, K. N., and Saramma, B. . (2022). Solar Operated Automatic Seed Planting Device. i-manager’s Journal on Power Systems Engineering, 10(1), 46-51. https://doi.org/10.26634/jps.10.1.18828

Abstract

In the modern world, all industries are striving for rapid expansion through the introduction of various advanced technologies, including the agricultural sector. The aim of this paper is to design a solar-powered automatic seed sowing mechanism. The main goal of this design is to create a low-cost, solar-powered, seed- sowing device that can be easily used by farmers. This gadget uses a solar panel to absorb solar energy, which is then converted to electrical energy. The entire device can be fully powered by solar energy, eliminating the need for fossil fuels. In the sowing mechanism, seeds are supplied through two hoppers on either side of the machine. The seeds come out of hopper and are collected by a fan-shaped device that picks the seed from the feeder and places them on the other side of the U-shaped container. The seeds are subsequently released into the ground through a circular aperture. The drive shaft of the machine is connected to this apparatus, which simultaneously rotates both of them. The planted seed is covered is with the soil is covered by new earth applied to the seeds using a plate adjuster. The whole process is automated through a programmed microcontroller without human intervention.

References

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*-**,***** Department of Mechanical and Industrial Engineering, Faculty of Engineering, University of Tripoli, Tripoli, Libya. **** Department of Electronics and Telecom Communication Engineering, Technical College of Civil Aviation & Meteorology, Esbea, Tripoli/Libya.

Elhaj, M. A., Elmzughi, M. F., Dekam, E. I., Almuzwghi, A. G., and Seddig, K. (2022). Exergoeconomic Analysis and Parametric Investigation of a Gas Turbine Power Plant. i-manager’s Journal on Power Systems Engineering, 10(1), 1-12. https://doi.org/10.26634/jps.10.1.18827

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*,*** Department of Electrical & Electronics Engineering, Sri Dharmasthala Manjunatheshwara College of Engineering and Technology, Dharwad, Karnataka, India. ** Department of Electrical & Electronics Engineering, Visvesvaraya Technological University, Belagavi, Karnataka, India.

Pawar, V., Ankaliki, S. G., and Sureban, M. S. (2022). Short-Term Load Forecasting using Artificial Neural Network. i-manager’s Journal on Power Systems Engineering, 10(1), 13-23. https://doi.org/10.26634/jps.10.1.18841

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Fault Tolerant Multilevel Inverter

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* Department of Electrical Engineering, Shri Shankaracharya Group of Institutions, Bhilai, Chhattisgarh, India. ** Department of Electrical and Electronics Engineering, Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India.

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Solar Operated Automatic Seed Planting Device

G. Poorna Chandra Rao* , B. Gayathri**, J. Bharath Kumar***, K. Naveen Kumar****, B. Saramma*****

*-***** Department of Electrical and Electronics Engineering, Vignana Bharathi Institute of Technology, Hyderabad, Telangana, India.

Rao, G. P. C., Gayathri, B., Kumar, J. B., Kumar, K. N., and Saramma, B. . (2022). Solar Operated Automatic Seed Planting Device. i-manager’s Journal on Power Systems Engineering, 10(1), 46-51. https://doi.org/10.26634/jps.10.1.18828

Abstract

References

Full Article (HTML)

Pdf

Mohamed A. Elhaj* , Malik F. Elmzughi, Elhadi I. Dekam, Ali G. Almuzwghi, Khaled Seddig

-, Department of Mechanical and Industrial Engineering, Faculty of Engineering, University of Tripoli, Tripoli, Libya.

** Department of Electronics and Telecom Communication Engineering, Technical College of Civil Aviation & Meteorology, Esbea, Tripoli/Libya.

Vidya Pawar* , Shekhappa Giriyappa Ankaliki, Manjula S. Sureban*

, Department of Electrical & Electronics Engineering, Sri Dharmasthala Manjunatheshwara College of Engineering and Technology, Dharwad, Karnataka, India.

Department of Electrical & Electronics Engineering, Visvesvaraya Technological University, Belagavi, Karnataka, India.

J. Archana * , K. Sunil, K. Mohanth Sai, D. Sowmya, K. Aneela

* Department of Electrical Engineering, Shri Shankaracharya Group of Institutions, Bhilai, Chhattisgarh, India.

** Department of Electrical and Electronics Engineering, Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India.

G. Poorna Chandra Rao* , B. Gayathri, J. Bharath Kumar, K. Naveen Kumar, B. Saramma