Simulation study demonstrates reduced operational costs in EV-integrated microgrids using Lyapunov optimization, highlighting effective real-time decentralized energy management.
A microgrid scenario that consists of electric vehicle (EV) station, combined heat and power (CHP) co-generation, main power grid, and external natural gas station, as well as thermal energy storage water tank is considered in this paper. By jointly considering the uncertainty of real-time electricity price, electricity and heat demands and EVs' behaviours, the EVs' batteries are used as energy storage adjusters to reduce the time-averaged operation cost, which includes energy acquiring cost from main power grid, the natural gas cost for CHP generation and heat only generation. We propose a real-time energy management algorithm for EV based microgrid by adopting Lyapunov stochastic optimization technique which optimizes the microgrid average cost without knowing future price, demands and other system information. Furthermore, our approach can accommodate a wide spectrum of characteristics of EVs, including the independent charging/discharging action, dynamic charging energy limits, and lifetime-guaranteed battery. Lastly, extensive simulations are provided to demonstrate that our proposed algorithm can outperform the other three alternatives.
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Shen et al. (2021) studied this question.
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