Study on Optimal Capacity of Multi-type Energy Storage System for Optimized Operation of Virtual Power Plants

摘要

The virtual power plant consisting of a large-scale energy storage system and a controllable energy source can reduce the potential safety hazards caused by the unstable output power of new energy when it is connected to the grid, thereby increasing the reliability of power supply. The energy storage system cooperates with the distributed photovoltaic and gas turbine to ensure that the virtual power plant participates in the system demand response, reduces the cost of power generation, and obtains more revenue. To this end, a virtual power plant operation strategy was designed. With the objective of maximizing the net profit of the virtual power plant in each period, a virtual power plant economic optimization configuration model was constructed, and a single-target particle swarm optimization algorithm was used to obtain the output of the energy storage system in the virtual power plant, and the signals are distributed to supercapacitors, lithium titanate batteries, and all-vanadium redox batteries through Fourier transform to realize the configuration of the energy storage system capacity and power.