Dual-Objective Optimization Scheduling Strategy Considering V2G Compensating Battery Capacity Under Photovoltaic Microgrid

In view of the large fluctuations in the output of photovoltaic microgrids, large energy storage capacity is required to solve the problem of stabilizing the load. In order to reduce energy storage investment costs, considering the energy storage characteristics of V2G, the range of decision variables, the constraints of power balance requirements and energy exchange strategies are given. Through the establishment of a coordinated scheduling model of battery and V2G in the photovoltaic microgrid with the dual goals of economy and grid-connected load fluctuation rate. There are four load modes of electric vehicles, namely none, disordered, transferring and V2G respectively. After realizing the optimal scheduling by using particle swarm optimization algorithm, the economic and safety benefits of power grid, micro-grid dispatching center and electric vehicle users are compared in the sub-mode. Finally, according to the analysis of the calculation examples, the two-level load curve and the economic income table under the four modes are solved. The comparative analysis shows that the introduction of V2G can replace some capacity batteries, so that the photovoltaic microgrid can be further optimized in terms of load peaks and valleys, tripartite economy and safety.