Photovoltaic-Based Electric Vehicle Charging Station using GA Algorithm

Sweta Pandey*, Surekha Bhusnur**, Naushin Anjum***
*-*** Bhilai Institute of Technology, Durg, Chhattisgarh, India.
Periodicity:August - October'2022
DOI : https://doi.org/10.26634/jps.10.3.19172

Abstract

Detailed modeling of rapid charging Electric Vehicle (EV) stations connected to a hybrid grid-Renewable Energy Systems (RES), such as solar, mini-hydro, and wind, has been proposed. This assists in maximizing profit and lowering grid energy consumption. Since Photovoltaic (PV) systems exhibit several peaks under partial shading conditions; it is very difficult to track the global maximum point. Therefore, a broad search is needed to solve this nonlinear problem. Due to the variety of solutions, GA is preferred for solar MPPT. In comparison to the Genetic Algorithm (GA) and Maximum Power Point Tracking (MPPT) technique, the economic considerations obtained optimizes profit. It is also obvious that the proposed strategy lowers the grid's influence on the system network by capping the amount of electricity that may be exchanged between the system network and the grid. The voltage and current of PV array with GA method and GA MPPT technique results on the utility grid respectively.

Keywords

EV, Genetic Algorithm (GA), Hybrid Grid-RES, Hybrid Genetic with Pattern Search (hGPS) Algorithm, NPV, Pattern Search (PS), RES.

How to Cite this Article?

Pandey, S., Bhusnur, S., and Anjum, N. (2022). Photovoltaic-Based Electric Vehicle Charging Station using GA Algorithm. i-manager’s Journal on Power Systems Engineering, 10(3), 7-16. https://doi.org/10.26634/jps.10.3.19172

References

[1]. Ahmed, E. M., Aly, M., Elmelegi, A., Alharbi, A. G., & Ali, Z. M. (2019). Multifunctional distributed MPPT controller for 3P4W grid-connected PV systems in distribution network with unbalanced loads. Energies, 12(24), 4799. https://doi.org/10.3390/en12244799
[2]. Alik, R., & Jusoh, A. (2018). An enhanced P&O checking algorithm MPPT for high tracking efficiency of partially shaded PV module. Solar Energy, 163, 570-580. https://doi.org/10.1016/j.solener.2017.12.050
[3]. Benkercha, R., Moulahoum, S., & Colak, I. (2017, December). Modelling of fuzzy logic controller of a maximum power point tracker based on artificial neural network. In 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 485-492). IEEE. https://doi.org/10.1109/ICMLA.2017.0-114
[4]. Ding, K., Bian, X., Liu, H., & Peng, T. (2012). A MATLABsimulink- based PV module model and its application under conditions of nonuniform irradiance. IEEE Transactions on Energy Conversion, 27(4), 864-872. https://doi.org/10.1109/TEC.2012.2216529
[5]. Ge, X., Ahmed, F. W., Rezvani, A., Aljojo, N., Samad, S., & Foong, L. K. (2020). Implementation of a novel hybrid BAT-Fuzzy controller based MPPT for grid-connected PVbattery system. Control Engineering Practice, 98, 104380. https://doi.org/10.1016/j.conengprac.2020.104380
[6]. Habib, S., Kamran, M., & Rashid, U. (2015). Impact analysis of vehicle-to-grid technology and charging strategies of electric vehicles on distribution networks-A review. Journal of Power Sources, 277, 205-214. https://doi.org/10.1016/j.jpowsour.2014.12.020
[7]. Jiang, Z., Tian, H., Beshir, M. J., Vohra, S., & Mazloomzadeh, A. (2016, September). Analysis of electric vehicle charging impact on the electric power grid: Based on smart grid regional demonstration project—Los Angeles. In 2016 IEEE PES Transmission & Distribution Conference and Exposition-Latin America (PES T&D-LA) (pp. 1-5). IEEE. https://doi.org/10.1109/TDCLA.2016.7805675
[8]. Kermadi, M., & Berkouk, E. M. (2015, May). A maximum power point tracker based on particle swarm optimization for PV-battery energy system under partial shading conditions. In 2015 3rd International Conference on Control, Engineering & Information Technology (CEIT) (pp. 1-6). IEEE. https://doi.org/10.1109/CEIT.2015.7233061
[9]. Kermadi, M., Salam, Z., Ahmed, J., & Berkouk, E. M. (2018). An effective hybrid maximum power point tracker of photovoltaic arrays for complex partial shading conditions. IEEE Transactions on Industrial Electronics, 66(9), 6990-7000. https://doi.org/10.1109/TIE.2018.2877202
[10]. Kota, V. R., & Bhukya, M. N. (2017). A novel linear tangents based P&O scheme for MPPT of a PV system. Renewable and Sustainable Energy Reviews, 71, 257-267. https://doi.org/10.1016/j.rser.2016.12.054
[11]. Li, C., Chen, Y., Zhou, D., Liu, J., & Zeng, J. (2016). A high-performance adaptive incremental conductance MPPT algorithm for photovoltaic systems. Energies, 9(4), 288. https://doi.org/10.3390/en9040288
[12]. Li, Y., Samad, S., Ahmed, F. W., Abdulkareem, S. S., Hao, S., & Rezvani, A. (2020). Analysis and enhancement of PV efficiency with hybrid MSFLA–FLC MPPT method under different environmental conditions. Journal of Cleaner Production, 271, 122195. https://doi.org/10.1016/j.jclepro.2020.122195
[13]. Mohapatra, A., Nayak, B., Das, P., & Mohanty, K. B. (2017). A review on MPPT techniques of PV system under partial shading condition. Renewable and Sustainable Energy Reviews, 80, 854-867. https://doi.org/10.1016/j.rser.2017.05.083
[14]. Patel, H., Gupta, M., & Bohre, A. K. (2016, December). Mathematical modeling and performance analysis of MPPT based solar PV system. In 2016 International Conference on Electrical Power and Energy Systems (ICEPES) (pp. 157-162). IEEE. https://doi.org/10.1109/ICEPES.2016.7915923
[15]. Priyadarshi, N., Padmanaban, S., Maroti, P. K., & Sharma, A. (2018). An extensive practical investigation of FPSO-based MPPT for grid integrated PV system under variable operating conditions with anti-islanding protection. IEEE Systems Journal, 13(2), 1861-1871. https://doi.org/10.1109/JSYST.2018.2817584
[16]. Priyadarshi, N., Sharma, A. K., & Priyam, S. (2018). An experimental realization of grid-connected PV system with MPPT using dSPACE DS 1104 control board. In Advances in Smart Grid and Renewable Energy (pp. 125-133). Springer, Singapore. https://doi.org/10.1007/978-981-10-4286-7_13
[17]. Ranjan, K., & Kumar, N. (2016, July). Modelling and simulation of Perturb and Observe algorithm on solar PV system using different converters in MATLAB/SIMULINK. In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) (pp. 1-6). IEEE. https://doi.org/10.1109/ICPEICES.2016.7853373
[18]. Titri, S., Larbes, C., Toumi, K. Y., & Benatchba, K. (2017). A new MPPT controller based on the Ant colony optimization algorithm for Photovoltaic systems under partial shading conditions. Applied Soft Computing, 58, 465-479. https://doi.org/10.1016/j.asoc.2017.05.017
[19]. Viswambaran, V. K., Ghani, A., & Zhou, E. (2016, December). Modelling and simulation of maximum power point tracking algorithms & review of MPPT techniques for PV applications. In 2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA) (pp. 1-4). IEEE. https://doi.org/10.1109/ICEDSA.2016.7818506
[20]. Visweswara, K. (2014). An investigation of incremental conductance based maximum power point tracking for photovoltaic system. Energy Procedia, 54, 11-20. https://doi.org/10.1016/j.egypro.2014.07.245
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