Bilevel optimization strategy for interconnection of wind-photovoltaic power generation and EV charging and discharging

This paper studies the cooperative absorption mechanism of wind-photovoltaic power generation and electric vehicle interconnection. Markov decision process is used to model the two random events of wind-photovoltaic generation and electric vehicle charging and discharging. Based on this, a multi-objective bilevel optimal charging and discharging scheduling model is proposed for the interconnection of wind-photovoltaic generation and electric vehicle based on cluster. The upper dispatching agency considers the consumption of wind-photovoltaic power generation and the economy of grid side operation, and EV group institution takes charge-discharge fees with battery internal losses into account. When solving the problem, making full use of the correlation between the structural features and variables between the upper and lower layers, the basic strategy of information exchange between the upper and lower layers is constructed, and based on the hierarchical features and future situation simulation, the double-layer optimal scheduling strategy is obtained. Finally, the effectiveness of the proposed optimization strategy is simulated and analyzed in IEEE 30 nodes system.