A Hybrid Algorithm for Integration of V2G and G2V with Photo-Voltaic on Power Quality Enhancement
Keywords:
Electric Vehicles, Grid-to-Vehicle, Improved Mexican Axolotl Optimization, Photovoltaic Systems, Vehicle-to-GridAbstract
The combination of Photovoltaic (PV) systems and Electric Vehicles (EVs) into the grid has witnessed remarkable progress, which is driven by the dual benefits of reduced pollution and lower energy costs. Extensive studies have explored the implications of using the combination of PV and EVs into the grid on diverse applications. As PV and EV penetration rises, the grid experiences the collective impacts of this integration. The primary factor behind the integration of photovoltaic (PV) technology in Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) services is the cost reduction which achieved through energy discharging. However, a crucial requirement is maintaining a reasonable distance between EV battery degradation and its driving limit. Therefore, this research introduces a hybrid technique combining Mexican Axolotl Optimization (MAO) and Pilot Pattern Selection (PPS) technique to optimize the power stability between the components and to adapt the system whenever there is a change occurs. MAO can quickly converge on the best pilot pattern selection technique by offering a set of well-designed pilot patterns that represent different controller switching patterns. The MAO doesn't have to examine into wide area using possibly inefficient strategies. The optimal pilot pattern selection methodology reduces switching time and improves energy management by identifying the best way for selecting patterns from a predetermined set. Additionally, through utilizing the DOA, the reliability of the MAO increases in its convergence towards the optimal solution. So, the algorithm’s each Dingo agents move within a hypercube in the search space around the best possible solution thus helps to balance grids and control the frequency. The simulation results shows that the THD of the recommended method is less (0.29%) and high efficiency (99.77%), (97.8), (97.5), (850) and (750) with minimum settling time (17.12), undershoot (0.0211) and overshoot (0.214) when compared to other conventional models such as Salp Swarm Algorithm (SSA) and Dual Active Full Bridge (DAFB). Through the simulation results it clearly demonstrates that, this research optimizes PV self-consumption while preserving crucial power quality attributes such as power factor, harmonics, and grid voltage/current.
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S. S. Ravi and M. Aziz, “Utilization of electric vehicles for vehicle-to-grid services: Progress and perspectives”, Energies, vol. 15, no. 2, p. 589, Jan. 2022, https://doi.org/10.3390/en15020589.
G. Alkawsi, Y. Baashar, U. D. Abbas, A. A. Alkahtani, and S. K. Tiong, “Review of renewable energy-based charging infrastructure for electric vehicles,” Applied Sciences, vol. 11, no. 9, p. 3847, Apr. 2021, https://doi.org/10.3390/app11093847.
G. Magdy, H. Hossam, and D. Xu, “A new synthetic inertia system based on electric vehicles to support the frequency stability of low-inertia modern power grids,” J. Cleaner Prod., vol. 297, p. 126595, May 2021, https://doi.org/10.1016/j.jclepro.2021.126595.
A. A. Mohamed, “Dynamic modeling analysis of direct-coupled photovoltaic power systems”, Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems, pp. 439-461, 2020, https://doi.org/10.1007/978-3-030-05578-3_17.
N. Himabindu, S. Hampannavar, B. Deepa, and M. Swapna, “Analysis of microgrid integrated Photovoltaic (PV) Powered Electric Vehicle Charging Stations (EVCS) under different solar irradiation conditions in India: A way towards sustainable development and growth”, Energy reports, vol. 7, pp. 8534-8547, Nov. 2021, https://doi.org/10.1016/j.egyr.2021.10.103.
Z. Foroozandeh, S. Ramos, J. Soares, Z. Vale, and M. Dias, “Single contract power optimization: A novel business model for smart buildings using intelligent energy management,” International Journal of Electrical Power & Energy Systems, vol. 135, p. 107534, Feb. 2022, https://doi.org/10.1016/j.ijepes.2021.107534.
Z. Li, S. Su, X. Jin, and H. Chen, “Distributed energy management for active distribution network considering aggregated office buildings,” Renewable Energy, vol. 180, pp. 1073-1087, Dec. 2021, https://doi.org/10.1016/j.renene.2021.09.034.
A. U. Rehman, Z. Ullah, A. Shafiq, H. M. Hasanien, P. Luo, and F. Badshah, “Load management, energy economics, and environmental protection nexus considering PV-based EV charging stations,” Energy, vol. 281, p. 128332, Oct. 2023, https://doi.org/10.1016/j.energy.2023.128332.
C. Shah, J. D. Vasquez-Plaza, D. D. Campo-Ossa, J. F. Patarroyo-Montenegro, N. Guruwacharya, N. Bhujel, R. D. Trevizan, F. A. Rengifo, M. Shirazi, R. Tonkoski, and R. Wies, “Review of dynamic and transient modeling of power electronic converters for converter dominated power systems,” IEEE Access, vol. 9, pp. 82094-82117, Jun. 2021, https://doi.org/10.1109/ACCESS.2021.3086420.
I. Ziyat, A. Gola, P. R. Palmer, S. Makonin, and F. Popowich, “EV Charging Profiles and Waveforms Dataset (EV-CPW) and Associated Power Quality Analysis,” IEEE Access, vol. 11, pp. 138445-138456, Dec. 2023, https://doi.org/10.1109/ACCESS.2023.3340131.
M. A. Barrios, V. Cárdenas, J. M. Sandoval, J. M. Guerrero, and J. C. Vasquez, “A cascaded DC-AC-AC grid-tied converter for PV plants with AC-link,” Electronics, vol. 10, no. 4, p. 409, Feb. 2021, https://doi.org/10.3390/electronics10040409.
Y. Alharbi, A. Darwish, and X. Ma, “A comprehensive review of distributed MPPT for grid-tied PV systems at the sub-module level,” Energies, vol. 16, no. 14, p. 5468, Jul. 2023, https://doi.org/10.3390/en16145468.
H. Ibrahim, J. Ramos-Ruiz, J. Kim, W. H. Ko, T. Huang, P. Enjeti, P. R. Kumar, and L. Xie, “An active detection scheme for sensor spoofing in grid-tied pv systems,” in 2021 IEEE Energy Conversion Congress and Exposition (ECCE), IEEE, 2021, pp. 1433-1439, https://doi.org/10.1109/ECCE47101.2021.9595733.
S. Jahan, S. P. Biswas, S. Haq, M. R. Islam, M. P. Mahmud, and A. Z. Kouzani, “An advanced control scheme for voltage source inverter based grid-tied PV systems,” IEEE Trans. Appl. Supercond., vol. 31, no. 8, p. 5401705, 2021, https://doi.org/10.1109/TASC.2021.3094446.
K. Deželak, P. Bracinik, K. Sredenšek, and S. Seme, “Proportional-integral controllers performance of a grid-connected solar pv system with particle swarm optimization and ziegler–nichols tuning method,” Energies, vol. 14, no. 9, p. 2516, Apr. 2021, https://doi.org/10.3390/en14092516.
A. A. Mohamed, A. El-Sayed, H. Metwally, and S. I. Selem, “Grid integration of a PV system supporting an EV charging station using Salp Swarm Optimization,” Sol. Energy, vol. 205, pp. 170-182, Jul. 2020, https://doi.org/10.1016/j.solener.2020.05.013.
H. Bourenane, A. Berkani, K. Negadi, F. Marignetti, and K. Hebri, “Artificial Neural Networks Based Power Management for a Battery/Supercapacitor and Integrated Photovoltaic Hybrid Storage System for Electric Vehicles,” Journal Européen des Systèmes Automatisés, vol. 56, no. 1, pp. 139-151, Jan. 2023, https://doi.org/10.18280/jesa.560118.
Y. Akarne, A. Essadki, T. Nasser, and H. Laghridat, “Modelling and control of a grid-connected AC microgrid with the integration of an electric vehicle,” Clean Energy, vol. 7, no. 4, pp. 707-720, Jul. 2023, https://doi.org/10.1093/ce/zkad030.
R. T. Kumar and C. C. A. Rajan, “Integration of hybrid PV-wind system for electric vehicle charging: Towards a sustainable future,” e-Prime-Advances in Electrical Engineering, Electronics and Energy, vol. 6, p. 100347, Dec. 2023, https://doi.org/10.1016/j.prime.2023.100347.
R. Jatoth and B. Mangu, “Grid-Tied Solar Power Sharing with V2G and G2V Power Exchange with Dual Bridge Integrated Electrical Vehicle,” International Journal of Electrical and Electronics Research (IJEER), vol. 11, no. 1, pp. 192-201, Mar. 2023, https://ijeer.forexjournal.co.in/archive/volume-11/ijeer-110127.html
S. Merrington, R. Khezri, and A. Mahmoudi, “Optimal planning of solar photovoltaic and battery storage for electric vehicle owner households with time‐of‐use tariff,” IET Generation, Transmission & Distribution, vol. 16, no. 3, pp. 535-547, Feb. 2022, https://doi.org/10.1049/gtd2.12300.
K. Bilen and I. Erdoğan, “Effects of cooling on performance of photovoltaic/thermal (PV/T) solar panels: A comprehensive review,” Solar Energy, vol. 262, p. 111829, Sep. 2023, https://doi.org/10.1016/j.solener.2023.111829.
M. Sperling and T. Kivelä, “Concept of a Dual Energy Storage System for Sustainable Energy Supply of Automated Guided Vehicles,” Energies, vol. 15, no. 2, p. 479, Jan. 2022, https://doi.org/10.3390/en15020479.
V. Mohale and T. R. Chelliah, “Impact of Series Compensated High Voltage Transmission Lines in the Operation of DFIM Based Hydro Unit,” in 2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T), IEEE, 2022, pp. 1-6, https://doi.org/10.1109/ICPC2T53885.2022.9776982.
M. J. B. Kabeyi and O. A. Olanrewaju, “The use of smart grids in the energy transition,” in 2022 30th Southern African Universities Power Engineering Conference (SAUPEC), IEEE, 2022, pp. 1-8, https://doi.org/10.1109/SAUPEC55179.2022.9730635.
A. S. Alqahtani, P. Pathak, S. Pandiaraj, H. Indrapriyadarsini, U. A. Kumar, and S. Nataraju, “Unlocking the power of recalling enhanced recurrent neural network: channel estimation and data analysis for 5G MIMO communication system,” Opt. Quantum Electron., vol. 56, no. 2, p. 142, Feb. 2024, https://doi.org/10.1007/s11082-023-05812-7.
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