An optimal allocation model for distributed energy storage in the distribution network based on probabilistic power flow

Abstract

An increasing number of renewable energy resources (RES) are connected to the distribution network, including wind power and photovoltaic. The volatility and randomness of its power output have brought some problems, including that the voltage exceeds the upper limit when its output is large, and the local power consumption is small. The use of distributed energy storage in the distribution network can effectively alleviate those problems. This paper proposes a method of distributed energy storage capacity allocation for the distribution network, based on probabilistic power flow (PPF). This capacity allocation based on PPF can more accurately describe the impact of the randomness of RES power output. Its validity and correctness are verified based on the improved RBTS-bus 6 model.