Capacity Optimization of Battery Energy Storage System in Multi-energy Complementary System Based on Time Series Simulation Method

Abstract

Constructing multi-energy complementary system is a promising way to promote the utilization of renewable energy. This paper proposes a novel method based on time series simulation technology to optimize capacity of battery energy storage system in the multi-energy complementary system with wind power, photovoltaic and concentrating solar power. An optimization model is established to maximize the equivalent uniform annual profit of the system with considering operation constraints of power plants and renewable energy curtailment rate. To make full use of complementary characteristics of the renewable energy, the power rating and battery storage capacity are then optimized coordinately based on hourly wind and solar power outputs in a year. Case studies are conducted on a multi-energy complementary system of China with wind power, photovoltaic, concentrating solar power and battery. Optimization results indicate that the proposed method can fully utilize the complementary characteristics and provide the optimal battery capacities. Sensitivity analyses also show that the proposed method can obtain the threshold of generation price for the project. Overall, the testing results verify the effectiveness and applicability of the proposed method.