i-manager Publications

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

Current Issue Vol. 17 Issue 4

Design and Analysis of Improved Mountain Gazelle Optimization Tuned PID and FOPID Controllers for PV MPPT System
Performance Analysis of Power System Dynamics with Facts Controllers: Optimal Placement and Impact of SSSC and STATCOM
Empowering Hybrid EVS with Bidirectional DC - DC Converter for Seamless V2G and G2V Integration
Solar Wireless Charging of Battery in Electrical Vehicle
Advancements in Multilevel Inverter Technologies for Photovoltaic-Z-Source Based EV Applications: A Comprehensive Analysis and Future Directions

Most Cited

Volume 15 Issue 2 October - December 2021

Research Paper

Energy Optimization Control Strategy with Storage Battery and Super Capacitor in AC/DC Micro-Grid

Rashmi Bareth * , Anup Mishra**

*-** Department of Electrical and Electronics Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India.

Bareth, R., and Mishra, A. (2021). Energy Optimization Control Strategy with Storage Battery and Super Capacitor in AC/DC Micro-Grid. i-manager’s Journal on Electrical Engineering, 15(2), 1-9. https://doi.org/10.26634/jee.15.2.17639

Abstract

In this article, authors implemented the hybrid system for continuous power distribution to fluctuating load demands. It contains a photovoltaic solar panel and wind turbine as renewable energy source, supercapacitor with a power convertor and a three-phase variation load. The combination of battery storage unit with super capacitor in hybrid system is proposed to solve many problems by its different technical features based on the system energy storage unit. Supercapacitor overcome the demerits of cells (batteries) such as charging and discharging cycles, critical charging current, reduced temperature coefficient and helps in extension of the electrical grid. Direct adjustment or indirect methods, such as to separate the energy storage unit output power adjustment, protect the hybrid energy storage components of the system. The optimal performance and desired control strategy is presented by MATLAB Simulink.

References

[1]. Akbari, M., Golkar, M. A., & Tafreshi, S. M. M. (2011, December). Voltage control of a hybrid ac/dc microgrid in grid-connected operation mode. In ISGT2011-India (pp. 358-362). IEEE. https://doi.org/10.1109/ISET-India.2011. 6145341

[2]. Baran, M. E., & Mahajan, N. R. (2003). DC distribution for industrial systems: Opportunities and challenges. IEEE Transactions on Industry Applications, 39(6), 1596-1601. https://doi.org/10.1109/TIA.2003.818969

[3]. Dougal, R. A., Liu, S., & White, R. E. (2002). Power and life extension of battery-Ultracapacitor hybrids. IEEE Transactions on Components and Packaging Technologies, 25(1), 120-131. https://doi.org/10.1109/61 44.991184

[4]. Hu, X., Tseng, K. J., & Srinivasan, M. (2011, May). Optimization of battery energy storage system with supercapacitor for renewable energy applications. In 8^th International Conference on Power Electronics-ECCE Asia (pp. 1552-1557). IEEE. https://doi.org/10.1109/ICPE.2011. 5944515

[5]. Huang, B. J., Hsu, P. C., Wu, M. S., & Ho, P. Y. (2010). System dynamic model and charging control of lead-acid battery for stand-alone solar PV system. Solar Energy, 84(5), 822-830. https://doi.org/10.1016/j.solener.2010.02.007

[6]. Kumar, R., & Singh, S. K. (2018). Solar photovoltaic modeling and simulation: As a renewable energy solution. Energy Reports, 4, 701-712. https://doi.org/10.1016/j.egyr. 2018.09.008

[7]. Liu, X., Wang, P., Loh, P. C., Gao, F., & Choo, F. H. (2010, September). Control of hybrid battery/ultra-capacitor energy storage for stand-alone photovoltaic system. In 2010, IEEE Energy Conversion Congress and Exposition (pp. 336-341). IEEE. https://doi.org/10.1109/ECCE.2010.56 18014

[8]. Mellit, A., Benghanem, M., & Kalogirou, S. (2007). Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure. Renewable Energy, 32(2), 285-313. https://doi.org/10.1016/j.renene.2006.01. 002

[9]. Othman, H. A., & Amarin, R. A. (2011, December). The economic opportunity of distributed smart solar systems. In 2011, IEEE PES Conference on Innovative Smart Grid Technologies-Middle East (pp. 1-6). IEEE. https://doi.org/ 10.1109/ISGT-MidEast.2011.6220801

[10]. Ozkucuk, S., & Kulahli, M. C. (2020). Solar photovoltaic source based magnetic launcher simulation design with thermal requirements consideration. Renewable Energy, 145, 1004-1013. https://doi.org/10.10 16/j.renene.2019.06.073

[11]. Pareek, A., Singh, P., & Rao, P. N. (2018, March). Analysis and comparison of charging time between battery and supercapacitor for 300W stand-alone PV system. In 2018, International Conference on Current Trends towards Converging Technologies (ICCTCT) (pp. 1- 6). IEEE. https://doi.org/10.1109/ICCTCT.2018.8551164

[12]. Rade, M. R. (2018, August). Design and development of hybrid energy storage system for electric vehicle. In 2018, International Conference on Information, Communication, Engineering and Technology (ICICET) (pp. 1-5). IEEE. https://doi.org/10.1109/ICICET.2018.85 33757

[13]. Ramadan, R., Yehia, D. M., & Rashad, E. M. (2015, November). Impact of hybrid energy storage system on solar power generation integrated in microgrids. In 2015, 4^th International Conference on Electric Power and Energy Conversion Systems (EPECS) (pp. 1-5). IEEE. https://doi.org/ 10.1109/EPECS.2015.7368529

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Research Paper

Simple Boost Control for Three Phases Quasi Z-Source Inverter

K. Rajesh* , V. S. L. Tirumala, G. Siva Sankar, M. Nagaraju, A. Hanumaiah

*-***** Department of Electrical and Electronics Engineering, Vignan's Lara Institute of Technology & Science, Guntur, Andhra Pradesh, India.

Rajesh, K., Tirumala, V. S. L., Sankar, G. S., Nagaraju, M., and Hanumaiah, A. (2021). Simple Boost Control for Three Phases Quasi Z-Source Inverter. i-manager’s Journal on Electrical Engineering, 15(2), 10-16. https://doi.org/10.26634/jee.15.2.16696

Abstract

This paper deals with the analysis of a Quasi -Z source inverter with a simple boost control strategy presented for non conventional energy applications. The aim objectives of this paper are to increase the boost factor and reduced input ripple current. The switching pulses for the inverter are generated by using simple boost control strategy; the main advantage of this control technique is to reduce the inductor ripple and inductor value. Non conventional energy sources dependence upon the external climatic conditions, the input voltage and currents are varying accordingly, which affects the performance of conventional inverters with voltage and current fed inverter. To overcome the disadvantages of conventional inverters like Voltage Source Inverter (VSI), Current Source Inverter (CSI), and voltage fed inverter called as Z Source Inverter (ZSI)/quasi-Z source inverters (QZSI) are used. It can perform several functions such as Alternating Current (AC) to Direct Current (DC), DC to AC, DC to DC. It works as Buck Boost DC to AC without use of DC to DC conversion, by utilizing the shoot through states. QZSI is obtaining from original ZSI. Simulation of simple boost control of QZSI is carried out in the MATLAB/Simulink environment.

References

[1]. Sen, P., & Thakura, P. (2018, March). Hardware design of three phase voltage source inverter using arduino microcontroller and its harmonic analysis. In 2018, Technologies for Smart-City Energy Security and Power (ICSESP) (pp. 1-7). IEEE. https://doi.org/10.1109/ICSESP. 2018.8376707

[2]. Laali, S., & Babaei, E. (2017). New continuous current quasi Z-source inverter based on capacitor basic unit. In IECON 2017-43^rd Annual Conference of the IEEE Industrial Electronics Society (pp. 8027-8032). IEEE. https://doi.org/ 10.1109/IECON.2017.8217408

[3]. Kalilasam, K. R., & Mani, V. (2018). FPGA based quasi zsource cascaded multilevel inverter using multicarrier PWM techniques. Journal of Vibro Engineering, 20(3), 1544- 1553. https://doi.org/10.21595/jve.2017.18180

[4]. Ismeil, M. A., Orabi, M., & Ahmed, M. (2018, February). Single-phase cascaded semi-Z-source inverter for photovoltaic applications. In 2018, International Conference on Innovative Trends in Computer Engineering (ITCE) (pp. 398-402). IEEE. https://doi.org/10.1 109/ITCE.2018.8316657

[5]. Girgin, Ö., & Sarul, M. H. (2019). A hybrid control strategy for Z-source inverter DG systems. Automatika, 60(4), 500-509. https://doi.org/10.1080/00051144.2019. 1652000

[6]. Mawlikar, M. A., & Nair, M. S. S. (2018). Design and Implementation of Z-source inverter using SBC. Asian Journal for Convergence in Technology (AJCT), 4(2).

[7]. Li, T., & Cheng, Q. (2018). A comparative study of Zsource inverter and enhanced topologies. CES Transactions on Electrical Machines and Systems, 2(3), 284-288. https://doi.org/10.30941/CESTEMS.2018.00035

[8]. Rolle, B., & Sawodny, O. (2018). Analytical voltagesource inverter current and conduction loss models for EV power train simulations. IFAC-Papers OnLine, 51(31), 479- 484. https://doi.org/10.1016/j.ifacol.2018.10.106

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Research Paper

Control Strategy of Shunt Active Power Filter using ANN for Grid Connected Renewable Energy System

K. V. Govardhan Rao* , Adewale Adesina, N. Ramchandra*

*-*** Department of Electrical and Electronics Engineering, St. Martin's Engineering College, Secunderabad, Telangana, India.

Rao, K. V. G., Kalyani, T. V. S., and Ramchandra, N. (2021). Control Strategy of Shunt Active Power Filter using ANN for Grid Connected Renewable Energy System. i-manager’s Journal on Electrical Engineering, 15(2), 17-23. https://doi.org/10.26634/jee.15.2.17458

Abstract

The paper deals with control schemes of Shunt Active Filter (SAF) using switching devices on the base of Artificial Neural Network (ANN) theory. The main scheme of this is excellent compensation characteristics in steady states and transient states. The project deals with converter with four-leg and voltage source which can do compensation of unbalanced currents and harmonic components generated by non-linear loads. Shunt Active Power Filter (SAPF) helps in reducing harmonic currents. The new proposed Artificial Neural Network Controller of % THD comparatively enhanced. The entire concept of power filter uses ANN controller which is simulated in MATLAB. The suggested circuit in paper are considered at various operating conditions and simulated and shows the potential of the system.

References

[1]. Aredes, M., Hafner, J., & Heumann, K. (1997). Three-phase four-wire shunt active filter control strategies. IEEE Transactions on Power Electronics, 12(2), 311-318. https://doi.org/10.1109/63.558748

[2]. Khadkikar, V., Chandra, A., & Singh, B. (2011). Digital signal processor implementation and performance evaluation of split capacitor, four-leg and three H-bridge-based three-phase four-wire shunt active filters. IET Power Electronics, 4(4), 463-470. https://doi.org/10.1049/ietpel. 2010.0198

[3]. Naidu, S. R., & Fernandes, D. A. (2009). Dynamic voltage restorer based on a four-leg voltage source converter. IET Generation, Transmission & Distribution, 3(5), 437-447. https://doi.org/10.1049/iet-gtd.2008.0411

[4]. Prabhakar, N., & Mishra, M. K. (2009). Dynamic hysteresis current control to minimize switching for three-phase four-leg VSI topology to compensate nonlinear load. IEEE Transactions on Power Electronics, 25(8), 1935- 1942. https://doi.org/10.1109/TPEL.2009.2036616

[5]. Rocabert, J., Luna, A., Blaabjerg, F., & Rodriguez, P. (2012). Control of power converters in AC microgrids. IEEE Transactions on Power Electronics, 27(11), 4734-4749. https://doi.org/10.1109/TPEL.2012.2199334

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Research Paper

Simulation of Fuel Cell Matrix Inverter Control by Fuzzy Logic

Ruksana S. K.* , Vikranth Avusula**

Department of Electrical and Electronics Engineering, Vasavi College of Engineering, Hyderabad, Telangana, India.

Avusula, V. (2021). Simulation of Fuel Cell Matrix Inverter Control by Fuzzy Logic. i-manager’s Journal on Electrical Engineering, 15(2), 24-28. https://doi.org/10.26634/jee.15.2.18475

Abstract

This paper proposes the modelling and simulation of proton exchange membrane fuel cell fed single phase matrix converter as an inverter for domestic Alternating Current (AC) applications. In this paper single phase matrix converter employing Insulated–Gate Bipolar Transistor (IGBT) based bi-directional switches used for this purpose. The detailed working principle of control strategy of Fuzzy logic based matrix converter has been explained. The technique that is used to generate the pulses for matrix converters is Fuzzy Logic. The performance and the content analysis of the single phase matrix converter has been carried out in MATLAB/SIMULINK and the results have been successfully verified.

References

[1]. Ahirrao, D., Gaware, B., Kakade, P., Kharade, P., & Chawda, S. (2014). Analysis of single phase matrix converter. International Journal of Engineering Research and Applications, 4(3), 856-861.

[2]. Deshpande, P., & Jain, G. P. (2017). Modified single phase matrix converter. International Journal of Recent Trends in Engineering & Research (IJRTER), 3(1), 18-26. https://doi.org/10.23883/IJRTER.2017.3488.4ON9Y

[3]. Holmes, D. G., & Lipo, T. A. (1992). Implementation of a controlled rectifier using AC-AC matrix converter theory. IEEE Transactions on Power Electronics, 7(1), 240-250. https://doi.org/10.1109/63.124596

[4]. Kolar, J. W., Friedli, T., Rodriguez, J., & Wheeler, P. W. (2011). Review of three-phase PWM AC–AC converter topologies. IEEE Transactions on Industrial Electronics, 58(11), 4988-5006. https://doi.org/10.1109/TIE.2011.2159 353

[5]. Ozturk, G., & Onbilgin, G. (2018). Simulation of single phase matrix converter as DC-DC and DC-AC converters. In Proceedings of the 4^th World Congress on Electrical Engineering and Computer Systems and Sciences (EECSS'18), 1-6. https://doi.org/10.11159/eee18.119

[6]. Satish, V., Konathala, S. K., & Kiran, A. U. R. (2014). Design and implementation of single phase matrix converter for cycloconverter operation. International Journal of Engineering Research & Technology (IJERT), 3(1), 922-927.

[7]. Shashikanth, M. V. N. M., Sreenivasulu, M., & Kumar, U. N. (2015). Application of a single phase matrix converter as universal Converter. International Journal of Professional Engineering Studies, 1, 90-96.

[8]. Sneha, E. V. S., & Sajin, M. (2013). Design and simulation of single phase matrix converter as a universal converter. International Journal of Engineering Research & Technology (IJERT), 2(1), 1471-1474.

[9]. Srikanth, A., & Kamakotti, P. (2017). AC to AC conversion using single phase matrix converter. International Journal of Engineering Science Invention, 6(11), 29-34.

[10]. Zuckerberger, A., Weinstock, D., & Alexandrovitz, A. (1997). Single-phase matrix converter. IEE Proceedings- Electric Power Applications, 144(4), 235-240.

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Review Paper

A Comprehensive Review on Maximum Power Point Tracking (MPPT) using ANN

Jyotsana Pandey*

Department of Electrical Engineering at Raipur Institute of Technology, Raipur, Chhattisgarh, India.

Pandey, J. (2021). A Comprehensive Review on Maximum Power Point Tracking (MPPT) using ANN. i-manager’s Journal on Electrical Engineering, 15(2), 29-33. https://doi.org/10.26634/jee.15.2.15884

Abstract

Classic maximum power point tracking algorithms ensure correct operation in uniform light conditions. However, when a Photovoltaic (PV) array is under Partial Shading Conditions (PSC), several local maxima appear on the photovoltaic characteristic curve of the photovoltaic array, which is due to the use of bypass diodes to avoid the effect of hot spots. The appearance of these multiple peaks in the characteristics of the PV array makes it difficult to track under these conditions and requires the integration of a more efficient power management system that is able to distinguish between local and global peaks to harvest the maximum possible energy and therefore increase the efficiency of the entire system. In addition to implement global maximum power point tracking strategies, the mismatch loss associated with the shading effect can be further reduced by using alternative PV array configurations. This paper provides an overview of Maximum Power Tracking (MPPT) using Artificial Neural Networks (ANN).

References

[1]. Algarín, C. R., Sevilla Hernández, D., & Restrepo Leal, D. (2018). A low-cost maximum power point tracking system based on neural network inverse model controller. Electronics, 7(1), 4. https://doi.org/10.3390/electronics701 0004

[2]. Armghan, H., Ahmad, I., Armghan, A., Khan, S., & Arsalan, M. (2018). Backstepping based non-linear control for maximum power point tracking in photovoltaic system. Solar Energy, 159, 134-141. https://doi.org/10.1016/j.solen er.2017.10.062

[3]. Belhachat, F., & Larbes, C. (2017). Global maximum power point tracking based on ANFIS approach for PV array configurations under partial shading conditions. Renewable and Sustainable Energy Reviews, 77, 875-889. https://doi.org/10.1016/j.rser.2017.02.056

[4]. Dileep, G., & Singh, S. N. (2017). Application of soft computing techniques for maximum power point tracking of SPV system. Solar Energy, 141, 182-202. https://doi.org/ 10.1016/j.solener.2016.11.034

[5]. Kermadi, M., & Berkouk, E. M. (2017). Artificial intelligence-based maximum power point tracking controllers for Photovoltaic systems: Comparative study. Renewable and Sustainable Energy Reviews, 69, 369-386. https://doi.org/10.1016/j.rser.2016.11.125

[6]. Liu, L., Meng, X., & Liu, C. (2016). A review of maximum power point tracking methods of PV power system at uniform and partial shading. Renewable and Sustainable Energy Reviews, 53, 1500-1507. https://doi.org/10.1016/j. rser.2015.09.065

[7]. Messalti, S. (2015, March). A new neural networks MPPT controller for PV systems. In IREC 2015 the Sixth International Renewable Energy Congress (pp. 1-6). IEEE. https://doi.org/ 10.1109/IREC.2015.7110907

[8]. Saravanan, S., & Babu, N. R. (2016). Maximum power point tracking algorithms for photovoltaic system–A review. Renewable and Sustainable Energy Reviews, 57, 192-204. https://doi.org/10.1016/j.rser.2015.12.105

[9]. Tiwari, R., Krishnamurthy, K., Neelakandan, R. B., Padmanaban, S., & Wheeler, P. W. (2018). Neural network based maximum power point tracking control with quadratic boost converter for PMSG—Wind energy conversion system. Electronics, 7(2), 20. https://doi.org/ 10.3390/electronics7020020

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

Current Issue Vol. 17 Issue 4

Most Read

Most Cited

Volume 15 Issue 2 October - December 2021

Energy Optimization Control Strategy with Storage Battery and Super Capacitor in AC/DC Micro-Grid

Rashmi Bareth * , Anup Mishra**

*-** Department of Electrical and Electronics Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India.

Bareth, R., and Mishra, A. (2021). Energy Optimization Control Strategy with Storage Battery and Super Capacitor in AC/DC Micro-Grid. i-manager’s Journal on Electrical Engineering, 15(2), 1-9. https://doi.org/10.26634/jee.15.2.17639

Abstract

References

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Simple Boost Control for Three Phases Quasi Z-Source Inverter

K. Rajesh* , V. S. L. Tirumala**, G. Siva Sankar***, M. Nagaraju****, A. Hanumaiah*****

*-***** Department of Electrical and Electronics Engineering, Vignan's Lara Institute of Technology & Science, Guntur, Andhra Pradesh, India.

Rajesh, K., Tirumala, V. S. L., Sankar, G. S., Nagaraju, M., and Hanumaiah, A. (2021). Simple Boost Control for Three Phases Quasi Z-Source Inverter. i-manager’s Journal on Electrical Engineering, 15(2), 10-16. https://doi.org/10.26634/jee.15.2.16696

Abstract

References

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Control Strategy of Shunt Active Power Filter using ANN for Grid Connected Renewable Energy System

K. V. Govardhan Rao* , Adewale Adesina**, N. Ramchandra***

*-*** Department of Electrical and Electronics Engineering, St. Martin's Engineering College, Secunderabad, Telangana, India.

Rao, K. V. G., Kalyani, T. V. S., and Ramchandra, N. (2021). Control Strategy of Shunt Active Power Filter using ANN for Grid Connected Renewable Energy System. i-manager’s Journal on Electrical Engineering, 15(2), 17-23. https://doi.org/10.26634/jee.15.2.17458

Abstract

References

Full Article (HTML)

Pdf

Simulation of Fuel Cell Matrix Inverter Control by Fuzzy Logic

Ruksana S. K.* , Vikranth Avusula**

Department of Electrical and Electronics Engineering, Vasavi College of Engineering, Hyderabad, Telangana, India.

Avusula, V. (2021). Simulation of Fuel Cell Matrix Inverter Control by Fuzzy Logic. i-manager’s Journal on Electrical Engineering, 15(2), 24-28. https://doi.org/10.26634/jee.15.2.18475

Abstract

References

Full Article (HTML)

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A Comprehensive Review on Maximum Power Point Tracking (MPPT) using ANN

Jyotsana Pandey*

Department of Electrical Engineering at Raipur Institute of Technology, Raipur, Chhattisgarh, India.

Pandey, J. (2021). A Comprehensive Review on Maximum Power Point Tracking (MPPT) using ANN. i-manager’s Journal on Electrical Engineering, 15(2), 29-33. https://doi.org/10.26634/jee.15.2.15884

Abstract

References

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K. Rajesh* , V. S. L. Tirumala, G. Siva Sankar, M. Nagaraju, A. Hanumaiah

K. V. Govardhan Rao* , Adewale Adesina, N. Ramchandra*