Optimizing Solar and Wind Energy Integration in Grid-Connected EV Fast Charging Systems using Fuzzy Logic Control for Improved Stability and Power Quality

International Journal of Electrical and Electronics Engineering

© 2024 by SSRG - IJEEE Journal

Volume 11 Issue 12

Year of Publication : 2024

Authors : J. Srinu Naick, G. Chandra Sekhar, N.C. Kotaiah, Mallipeddi Anitha, B. Gopi Raja Naik

10.14445/23488379/IJEEE-V11I12P111

How to Cite?

J. Srinu Naick, G. Chandra Sekhar, N.C. Kotaiah, Mallipeddi Anitha, B. Gopi Raja Naik, "Optimizing Solar and Wind Energy Integration in Grid-Connected EV Fast Charging Systems using Fuzzy Logic Control for Improved Stability and Power Quality," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 12, pp. 119-136, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I12P111

Abstract:

This paper presents the complete approach to integrating solar and wind renewable energy sources into grid-connected Electric Vehicle (EV) quick charging systems. The solar system utilizes a Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) boost converter to maximize energy extraction from the photovoltaic panels. In contrast, the wind energy system employs a similar MPPT technique to maximize wind power consumption. The proposed fuzzy logic controller system ensures consistent and efficient power conversion management during EV charging activities, improving system stability. Neutral-Point Clamped (NPC) voltage source converters are further utilised to optimise power conversion, improve voltage balance, and reduce switching losses. Reducing voltage fluctuations and resolving power quality issues helps the fuzzy logic controller significantly increase system stability. MATLAB simulations show that the combined use of MPPT for solar and wind, fuzzy logic control, and NPC converters results in effective energy distribution, enhanced load balancing, and reduced Total Harmonic Distortion (THD). Apart from fast-charging electric vehicles, the system is supposed to manage residential linear and nonlinear loads. The findings imply that whilst preserving power grid stability and improving general system performance for different load types, this integrated system successfully allows large-scale EV rapid charging utilising renewable energy.

Keywords:

Electrical vehicles, Fuzzy Logic Controller (FLC), Harmonics distortion, Power quality, Renewable energy, Neutral-Point Clamped (NPC) converters, Magnetic linked converter.

References:

[1] Benjamin Kroposki, Pankaj K. Sen, and Keith Malmedal, “Selection of Distribution Feeders for Implementing Distributed Generation and Renewable Energy Applications,” IEEE Transactions on Industry Applications, vol. 49, no. 6, pp. 2825-2834, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Bei Han et al., “Paths Toward Smart Energy: A Framework for Comparison of the EU and China Energy Policy,” IEEE Transactions on Sustainable Energy, vol. 5, no. 2, pp. 423-433, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Meng Liu, Wei-Jen Lee, and Lyndon K. Lee, “Financial Opportunities by Implementing Renewable Sources and Storage Devices for Households Under ERCOT Demand Response Programs Design,” IEEE Transactions on Industry Applications, vol. 50, no. 4, pp. 2780 2787, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Benjamin Kroposki, Pankaj K. Sen, and Keith Malmedal, “Optimum Sizing and Placement of Distributed and Renewable Energy Sources in Electric Power Distribution Systems,” IEEE Transactions on Industry Applications, vol. 49, no. 6, pp. 2741-2752, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Olawale Ogunrinde, Ekundayo Shittu, and Kanwalroop Kathy Dhanda, “Investing in Renewable Energy: Reconciling Regional Policy with Renewable Energy Growth,” IEEE Engineering Management Review, vol. 46, no. 4, pp. 103-111, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Shailendra Kumar Tiwari, Bhim Singh, and Puneet Kr. Goel, “Design and Control of Microgrid Fed by Renewable Energy Generating Sources,” IEEE Transactions on Industry Applications., vol. 54, no. 3, pp. 2041-2050, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[7] “1547-2003 - IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems,” IEEE, pp. 1-28, 2003.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Ahmad G. Abd-Elkader, Saber M. Saleh, and M. B. Magdi Eiteba, “A Passive Islanding Detection Strategy for Multi-Distributed Generations,” International Journal of Electrical Power & Energy Systems, vol. 99, pp. 146-155, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Salman Habib, Muhammad Kamran, and Umar Rashid, “Impact Analysis of Vehicle-Togrid Technology and Charging Strategies of Electric Vehicles on Distribution Networks-A Review,” Journal of Power Sources, vol. 277, pp. 205-214, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Felix Garcia-Torres et al., “Optimal Management of Microgrids with External Agents Including Battery/Fuel Cell Electric Vehicles,” IEEE Transactions on Smart Grid, vol. 10, no. 4, pp. 4299-4308, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Sid-Ali Amamra, and James Marco, “Vehicle-To-Grid Aggregator to Support Power Grid and Reduce Electric Vehicle Charging Cost,” IEEE Access, vol. 7, pp. 178528-178538, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Chunhua Liu et al., “Opportunities and Challenges of Vehicle-To-Home, Vehicle-To-Vehicle, and Vehicle-To-Grid Technologies,” Proceedings of the IEEE, vol. 101, no. 11, pp. 2409-2427, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Moacyr Aureliano Gomes de Brit et al., “Evaluation of the Main MPPT Techniques for Photovoltaic Applications,” IEEE Transactions on Industrial Electronics, vol. 60, no. 3, pp. 1156-1167, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Weidong Xiao et al., “Overview of Maximum Power Point Tracking Technologies for Photovoltaic Power Systems,” IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society, Melbourne, VIC, Australia, pp. 3900-3905, 2011.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Jubaer Ahmed, and Zainal Salam, “An Enhanced Adaptive P&O MPPT for Fast and Efficient Tracking under Varying Environmental Conditions,” IEEE Transactions on Sustainable Energy, vol. 9, no. 3, pp. 1487-1496, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Rachid Errouissi, and Ahmed Al-Durra, “A Novel PI-Type Sliding Surface for PMSG-Based Wind Turbine with Improved Transient Performance,” IEEE Transactions on Energy Conversion, vol. 33, no. 2, pp. 834-844, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Satyajit Das, and Bidyadhar Subudhi, “A H∞ Robust Active and Reactive Power Control Scheme for a PMSG-Based Wind Energy Conversion System,” IEEE Transactions on Energy Conversion, vol. 33, no. 3, pp. 980-990, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Shihua Li, Mingming Zhou and Xinghuo Yu, “Design and Implementation of Terminal Sliding Mode Control Method for PMSM Speed Regulation System,” IEEE Transactions on Industrial Informatics, vol. 9, no. 4, pp. 1879- 1891, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Rachid Errouissi, Ahmed Al-Durra, and Mahdi Debouza, “A Novel Design of PI Current Controller for PMSG-Based Wind Turbine Considering Transient Performance Specifications and Control Saturation,” IEEE Transactions on Industrial Electronics, vol. 65, no. 11, pp. 8624-8634, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Akira Nabae, Isao Takahashi, and Hirofumi Akagi, “A New Neutral-Point-Clamped PWM Inverter,” IEEE Transactions on Industry Applications, vol. IA-17, pp. 518-523, 1981.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Guo Chen et al., “Compensation Voltage Injection Based Neutral Point Voltage Fluctuation Suppression for NPC Converter,” Proceedings of the 2022 Asia Power and Electrical Technology Conference (APET), Shanghai, China, pp. 203-208, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Peng Liu et al., “A Double ModulationWave CBPWM Strategy Providing Neutral-Point Voltage Oscillation Elimination and CMV Reduction for Three-Level NPC Inverters,” IEEE Transactions on Industrial Electronics, vol. 65, no. 1, pp. 16-26, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Oghenewvogaga Oghorada et al., “Inter-cluster Voltage Balancing Control of Modular Multilevel Cascaded Converter Under Unbalanced Grid Voltage,” Journal of Modern Power Systems and Clean Energy, vol. 10, no. 2, pp. 515-523, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Chelladurai Balasundar et al., “Mixed Step Size Normalized Least Mean Fourth Algorithm of DSTATCOM Integrated Electric Vehicle Charging Station,” IEEE Transactions on Industrial Informatics, vol. 19, no. 6, pp. 7583-7591, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Dennis van der Meer, “Energy Management System with PV Power Forecast to Optimally Charge EVs at the Workplace,” IEEE Transactions on Industrial Informatics, vol. 14, no. 1, pp. 311-320, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Rik W.A.A. De Doncker, Deepakraj M. Divan, and Mustansir H. Kheraluwala, “A Three-Phase Soft-Switched High-Power-Density DC/DC Converter for High-Power Applications,” IEEE Transactions on Industry Applications, vol. 27, no. 1, pp. 63-73, 1991.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Rejaul Islam, S M Sajjad Hossain Rafin, and Osama A. Mohammed, “Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications,” Forecasting, vol. 5, no. 1, pp. 22-80, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Donglai Liang, Jian Li, and Ronghai Qu, “Sensorless Control of Permanent Magnet Synchronous Machine Based on Second-Order Sliding-Mode Observer with Online Resistance Estimation,” IEEE Transactions on Industry Applications, vol. 53, no. 4, pp. 3672-3682, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[29] Mahammad A. Hannan et al., “Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for IM Drive,” IEEE Transactions on Industry Applications, vol. 54, no. 4, pp. 3793-3805, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[30] Shadab Murshid, and Bhim Singh, “Simulation and Hardware Implementation of PMSM Driven Solar Water Pumping System,” 2018 International Conference on Power, Instrumentation, Control and Computing (PICC), Thrissur, India, pp. 1-6, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[31] Younggi Lee, and Seung-Ki Sul, “Model-Based Sensorless Control of an IPMSM With Enhanced Robustness Against Load Disturbances Based on Position and Speed Estimator Using a Speed Error,” IEEE Transactions on Industry Applications, vol. 54, no. 2, pp. 1448-1459, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[32] Danyang Bao et al., “Adaptive Synchronous-Frequency Tracking-Mode Observer for the Sensorless Control of a Surface PMSM,” IEEE Transactions on Industry Applications, vol. 54, no. 6, pp. 6460-6471, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[33] Liu Sheng, Guo Xiaojie and Zhang Lanyong, “Robust Adaptive Backstepping Sliding Mode Control for Six-Phase Permanent Magnet Synchronous Motor Using Recurrent Wavelet Fuzzy Neural Network,” IEEE Access, vol. 5, pp. 14502-14515, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[34] Hadi Zayyani, “Continuous Mixed P-Norm Adaptive Algorithm for System Identification,” IEEE Signal Processing Letters, vol. 21, no. 9, pp. 1108-1110, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[35] Long Shi, Haiquan Zhao, and Yuriy Zakharov, “Generalized Variable Step Size Continuous Mixed P-Norm Adaptive Filtering Algorithm,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 66, no. 6, pp. 1078-1082, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[36] Farheen Chishti, Shadab Murshid, and Bhim Singh, “PCC Voltage Quality Restoration Strategy of An Isolated Microgrid Based on Adjustable Step Adaptive Control,” 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE 2020), Cochin, India, pp. 1-6, 2020.
[CrossRef] [Google Scholar] [Publisher Link]