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Coordinated optimal control strategy for multi-energy microgrids considering P2G technology and demand response

Renewable energy sources (RES) like photovoltaic (PV) power and wind turbine (WT) have the characteristics of uncontrollability and volatility. On top of that, the existence of plug-in hybrid electric vehicle (PHEV) and responsive demand have greatly increased the difficulty of the power grid to control. In this paper, the microgrid optimization model is formulated, including power-to-gas (P2G) and combined cooling and heating (CHP) technique as well as highly permeable WT and PV, taking the interest of both supply and demand sides into account and minimizing the system cost as its objective function. The model employs the Monte Carlo method to simulate RES output, then reduction and integrity are conducted based on K-medoids under the stochastic scenarios to get the classic all-standing WT scenario. Test results show that regularly used PHEV works synergistically with RES in different scenarios with robustness, which can effectively reduce the system operating cost and increase the utilization of RES.