Demand Analysis of Coordinated Peak Shaving and Frequency Regulation Among Multiple Energy Storage Stations

The integration of renewable energy into the power grid poses inherent 1 risks and complex challenges due to the volatile nature and seasonal variations of these energy sources. Energy storage clusters play a pivotal role in addressing these issues by providing flexible and responsive energy storage capabilities. They effectively balance the supply and demand, maintain grid stability, and ensure the reliability of grid operations. Demand analysis is imperative for optimizing the operation of individual energy storage stations within a cluster. It entails a comprehensive examination of their characteristics, such as peak shaving capacity and frequency regulation capacity, to develop effective deployment strategies and power dispatch plans. This article proposes a power allocation strategy for coordinating multiple energy storage stations in an energy storage dispatch center. The strategy addresses the temporal demands of peak shaving and frequency regulation in the power grid. It quantifies the minimum capacity, power, rate and duration time requirements for energy storage stations to actively support the grid, helping the dispatch center make informed decisions and identify suitable stations for each demand scenario.