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Performance analysis of a real-time decentralized algorithm for coordinated PEV charging at home and workplace with PV solar panel integration

Several studies dealt with grid-to-vehicle (G2V) and vehicle-to-grid (V2G) concepts emphasizing the importance of the integration of renewable energy sources (RESs). However, none has simultaneously evolved V2G, G2V and RES integration by simulating a real-time decentralized algorithm. Unlike previous work, our approach contributes to the coordination of plug-in electric vehicle (PEV) charging (G2V) and discharging (V2G) according to power generation while at the same time integrating photovoltaic (PV) solar panels at workplaces by proposing a real-time decentralized vehicle/grid algorithm, where PEVs can consume power from and supply stored power to the grid. The integration of PV solar panels to locally charge PEVs plays a major role in limiting the stress on grid demand. From the power perspective, our real-time decentralized algorithm shows superior performance in terms of peak shaving and minimizing system losses. The communication results indicate an efficient delay reduction and lower throughput compared to a benchmark centralized algorithm.