首页|Optimal Operation with Dynamic Partitioning Strategy for Centralized Shared Energy Storage Station with Integration of Large-scale Renewable Energy
Optimal Operation with Dynamic Partitioning Strategy for Centralized Shared Energy Storage Station with Integration of Large-scale Renewable Energy
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As renewable energy continues to be integrated in-to the grid,energy storage has become a vital technique sup-porting power system development.To effectively promote the efficiency and economics of energy storage,centralized shared energy storage(SES)station with multiple energy storage bat-teries is developed to enable energy trading among a group of entities.In this paper,we propose the optimal operation with dynamic partitioning strategy for the centralized SES station,considering the day-ahead demands of large-scale renewable en-ergy power plants.We implement a multi-entity cooperative op-timization operation model based on Nash bargaining theory.This model is decomposed into two subproblems:the operation profit maximization problem with energy trading and the leas-ing payment bargaining problem.The distributed alternating di-rection multiplier method(ADMM)is employed to address the subproblems separately.Simulations reveal that the optimal op-eration with a dynamic partitioning strategy improves the track-ing of planned output of renewable energy entities,enhances the actual utilization rate of energy storage,and increases the profits of each participating entity.The results confirm the practicality and effectiveness of the strategy.
Shared energy storage(SES)dynamic parti-tioning strategyoptimal operationNash bargaining theoryac-tual utilization rate of energy storage
Beijing Future Technology Innovation Centre for Electrochemical Energy Storage System Integration,North China University of Technology,Beijing 100144,China
State Grid Fujian Electric Power Research Institute,Fu-zhou 350007,China
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