Adaptive Control Strategy for Real-Time Regulation of PEV Charging in Response to Fluctuating Renewable Energy Supply

In this work, we set out to simulate and manage the performance of integrate electric automobiles (PEV) during concurrent charging. Finding a way to regulate the aggregate charging capacity of PEVs in response to highly variable sustainable energy resources is the primary goal of this study. The main presumption is that the grid can send out a universal command signal that allows it to directly regulate PEV charging power in real time. For the combined charging of PEVs, we create a partial differential equation model dependent on the transport-based demand modelling paradigm. We run the model using actual driving data and compare its results with a Monte Carlo simulation framework of PEVs. Then, based on the principles of sliding mode supervision, we construct a robust system-wide regulator to measure output. Regardless of fluctuations in the total number of PEVs on the electrical network, the controller strives to mitigate the real-time disparity among power source and demand. To evaluate how well the controller works, we run simulations based on a real wind power direction.