Collaborative Optimization Control Strategy for Cost and Benefit of Vehicle-Photovoltaic-Energy Storage Grid

To address the issue of new load peaks caused by the uncoordinated charging of large-scale electric vehicles (EVs) on a power grid, a collaborative optimization scheme for photovoltaic-energy storage power systems based on multi-party interest balance is proposed. Unlike the common participation model of photovoltaic-storage systems which is based on grid demand, this study coordinates photovoltaic-storage system participation by utilizing the intraday time-of-use electricity price. A multi-objective optimization model based on time-of-use electricity pricing is established to minimize costs and maximize profits for EVs, charging stations, and grid operators. An improved Cuckoo algorithm is proposed to optimize the charging and discharging behavior of EVs. Finally, the effectiveness of the proposed collaborative optimization scheme is validated through simulation examples.