Joint Dispatching Strategy of Distributed Generation and Electric Vehicle Based on Virtual Power Plant

Abstract

This paper mainly studies the joint optimization scheduling method of distributed generation and electric vehicle based on virtual power plant. Considering the randomness of distributed generation output and the controllability of electric vehicle charging and discharging, this paper proposes to use virtual power plant to optimize the resource allocation of distributed generation and electric vehicle within the scope, making full use of the complementary advantages of different energy forms in space and time. Firstly, according to the real-time data of the external power grid connected to the control area of each virtual power plant, the grid dispatching department takes the voltage deviation rate and load curve variance as the optimization objectives, and sends the voltage operation range and the total power range of distributed generation and electric vehicle to each virtual power plant. Then, according to the instructions and data issued by the superior power grid, each virtual power plant takes the voltage deviation rate of each distributed generation node, the complementary ratio of distributed generation and electric vehicle and the income of electric vehicle users as the optimization objectives, and optimizes the selection of distributed generation output and electric vehicle charging and discharging time and quantity. The solution strategy adopts a dynamic real-time adjustment of double-layer rolling optimization algorithm. The algorithm can give the optimal operating voltage range, the total power range in the region, the optimal distributed generation output and electric vehicle charging in the control area of the virtual power plant Discharge time and quantity. Finally, the effectiveness of the joint scheduling model and control strategy is verified by simulation.