Research on Modeling and Optimization Scheduling of Electrochemical Energy Storage System under Multi Resource Coordination

The new energy installed capacity in China is growing rapidly, and it is expected to exceed 1.2 billion kilowatts by 2030, which accounts for 50% of the total installed capacity. The increasing proportion brings intermittent and fluctuating challenges, and energy storage has become the key to solving the fluctuations in new energy output and improving system regulation capabilities. China has already achieved its goal of installing new energy storage capacity ahead of schedule, but the current issue is how to scientifically utilize large-scale energy storage. This article explores the research on electrochemical energy storage technology and creates a modeling and optimization framework for systems that manage electrochemical energy storage in coordination with various resources. The model's effectiveness and practicality are confirmed using real information from a regional electricity network, and the impact of electrochemical modeling accuracy on system performance is studied. The applicability of different modeling methods is analyzed. The outcomes of the simulation indicate that the unit combination optimization model of electrochemical energy storage considering multiple constraints can support the secure and consistent functioning of the system, and coordinate with coal-fired power and adjustable loads to absorb more new energy.