Demand-side energy storage configuration discrimination method based on improved correlation analysis

Due to the intermittency and unpredictability characteristics of renewable energy generation, energy storage can alleviate the difficulties of peak shaving in the power system, increase distribution system hosting capacity, and promote the consumption of renewable energy in the power grid. Under the context of distribution system, this paper introduces a method for identifying optimal user-side energy storage configurations to effectively balance power supply and demand. Firstly, a user-side energy consumption behaviour indicator system is established. Secondly, an improved correlation analysis method that comprehensively considers the Pearson and Spearman correlation coefficients is proposed to simplify the indicator system and obtain key evaluation indicators. Finally, based on the historical real electricity consumption data of 6670 users in a certain area of Shanghai, the rationality of the method adopted in this paper is verified. Through the study of user-energy storage evaluation technology, providing reference for power grid planning and operational decision-making, thereby effectively evaluating and optimizing the hosting capacity of the distribution system.