Electrochemical energy storage is an excellent regulatory resource that can be constructed quickly,has strong performance,and can urgently improve the system's regulatory capacity.However,it also has disadvantages such as high unit cost and fast decay.Therefore,blind construction cannot be carried out,and more precise methods for predicting capacity are needed to reduce its capacity margin and improve its utilization hours in actual production.This article is based on production simulation and obtains a prediction method for electrochemical energy storage regulation capacity through optimization algorithms.This method predicts and analyzes the traditional regulation capacity gap scenario in the power system,and obtains the electrochemical energy storage regulation capacity in this scenario,proving that the traditional electrochemical energy storage regulation capacity calculation method is too conservative.At the same time,typical parameters for predicting the electrochemical energy storage regulation capacity are obtained,which are suitable for load curves with large peak demand gaps and long duration.
electrochemical energy storagenew power systemregulatory abilityproduction simulationoptimization model
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