Coordinated Optimization of Power Rating and Capacity of Battery Storage Energy System with Large-Scale Renewable Energy
Peidong Han, Pai Li, Xiaodi Xie, Jinping Zhang
Abstract
With the rapid development of renewable energy power in China, the accommodation of renewable energy has faced a new challenge. The Large-scale battery energy storage system (BESS) is a promotive way to improve the accommodation of renewable energy. In this paper, a method for power rating and capacity optimization of BESS is proposed based on sequential production simulation technology. An optimization model is established to maximize the utilization of renewable energy, considering constraints of system power balance, the operation mode of BESS, and conventional units. The annual hourly curtailment time sequence of renewable energy is incorporated as inputs with the target of utilization rate as constraints for optimizing the power rating and capacity of BESS. In the case of studies, an annual hourly curtailment time sequence in a province of China is tested, and the optimal power rating and capacity of BESS of the province are obtained. The testing results verify the effectiveness of the proposed method.