PV Based Standalone Microgrid System for EV Charging Station: A Review
Keywords:
PV Array, Wind Power, Micro-grid, Electric VehicleAbstract
A micro-grid approach plays an enormous role in the increased penetration of renewable energy resource into grid thus reducing the emissions due to large coal fired power plants. The energy management in micro-grid is a challenging task as a major share of the generation is from Renewable Energy Sources. Usually, there are Power electronic interfaces through which the local generators are connected to the micro-grid which enables the control capabilities such as generation-demand management through active reactive power control, synchronization of the inverter to grid, meeting the power quality standards for the injected currents, maximum power point tracking etc. The active-reactive power delivered by the inverter is controlled by current control with the objective of the steady state and transient state performance requirements. The goal of this paper is to studied of MPPTs (maximum power point trackers) to extort maximum power from best configuration or combine renewable resources and energy storage systems that all work together in off-grid for electric vehicle charging.
References
A. S. Mahdi, A. K. Mahamad, S. Saon, T. Tuwoso, H. Elmunsyah, and S. W. Mudjanarko, “Maximum power point tracking using perturb and observe, fuzzy logic and ANFIS,” SN Applied Sciences, vol. 2, no. 1, 2020.
L. L. Jiang, R. Srivatsan, and D. L. Maskell, “Computational intelligence techniques for maximum power point tracking in PV systems: a review,” Renewable and Sustainable Energy Reviews, vol. 85, pp. 14–45, 2018.
F. Belhachat and C. Larbes, “A review of global maximum power point tracking techniques of photovoltaic system under partial shading conditions,” Renewable and Sustainable Energy Reviews, vol. 92, pp. 513–553, 2018.
A. A. Mohamed, H. Metwally, A. El-Sayed, and S. I. Selem, “Predictive neural network based adaptive controller for grid-connected PV systems supplying pulse-load,” Solar Energy, vol. 193, pp. 139–147, 2019.
O. P. Pahari and B. Subudhi, “Integral sliding mode-improved adaptive MPPT control scheme for suppressing grid current harmonics for PV system,” IET Renewable Power Generation, vol. 12, no. 16, pp. 1904–1914, 2018.
A. Kihal, F. Krim, A. Laib, B. Talbi, and H. Afghoul, “An improved MPPT scheme employing adaptive integral derivative sliding mode control for photovoltaic systems under fast irradiation changes,” ISA Transactions, vol. 87, pp. 297–306, 2019.
S. Pareek and T. Kaur, “Hybrid ANFIS-PID based MPPTs controller for a solar PV system with electric vehicle load,” IOP Conference Series: Materials Science and Engineering, vol. 1033, no. 1, Article ID 012012, 2021.
S. Padmanaban, N. Priyadarshi, M. Sagar Bhaskar, J. B. Holm-Nielsen, V. K. Ramachandaramurthy, and E. Hossain, “A hybrid ANFIS-ABC based MPPTs controller for PV system with anti-islanding grid protection: experimental realization,” IEEE Access, vol. 7, Article ID 103377–103389, 2019.
R. Kumar, S. Khandelwal, P. Upadhyay, and S. Pulipaka, “Global maximum power point tracking using variable sampling time and PV curve region shifting technique along with incremental conductance for partially shaded photovoltaic systems,” Solar Energy, vol. 189, pp. 151–178, 2019.
F. Liu, P. Yadav, A. M. Baschnagel, and A. B. McMillan, “MR-based treatment planning in radiation therapy using a deep learning approach,” Journal of Applied Clinical Medical Physics, vol. 20, no. 3, pp. 105–114, 2019.
S. Remya, J. E. Paul, and D. B. Nair, “ANFIS based SEPIC converter for maximum power point tracking of photovoltaic modules,” International Journal of Engineering Trends and Technology, vol. 30, no. 4, pp. 170–175, 2015.
M. S. Kumar, P. S. Manoharan, and R. Ramachandran, “Modelling and simulation of ANFIS-based MPPT for PV system with modified SEPIC converter,” International Journal of Business Intelligence and Data Mining, vol. 15, no. 3, pp. 255–272, 2019.
J. Van Roy, N. Leemput, F. Geth, R. Salenbien, J. Buscher, and J. Driesen, “Apartment building electricity system impact of operational electric vehicle charging strategies,” IEEE Transactions on Sustainable Energy, vol. 5, no. 1, pp. 264–272, 2014.
S. Shafee, M. Fotuhi-Firuzabad, and M. Rastegar, “Investigating the impacts of plug-in hybrid electric vehicles on power distribution systems,” IEEE Transactions on Smart Grid, vol. 4, no. 3, pp. 1351–1360, Sep. 2013.
C. B. Harris and M. E. Webber, “The impact of vehicle charging loads on frequency regulation procurements in ERCOT,” in Proceedings of the ISGT 2014, pp. 1–5, Washington, DC, USA, February 2014.
Downloads
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.