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周翰泽, 张韦维, 沈妍, 杜协峻, 王坤. 基于生产模拟的电化学储能日前调节能力预测方法研究[J]. 农村电气化, 2024, (6): 11-16, 92. DOI: 10.13882/j.cnki.ncdqh.2024.06.003
引用本文: 周翰泽, 张韦维, 沈妍, 杜协峻, 王坤. 基于生产模拟的电化学储能日前调节能力预测方法研究[J]. 农村电气化, 2024, (6): 11-16, 92. DOI: 10.13882/j.cnki.ncdqh.2024.06.003
ZHOU Hanze, ZHANG Weiwei, SHEN Yan, DU Xiejun, WANG Kun. Research on Prediction Method of Electrochemical Energy Storage Day ahead Adjustment Capability Based on Production Simulation[J]. RURAL ELECTRIFICATION, 2024, (6): 11-16, 92. DOI: 10.13882/j.cnki.ncdqh.2024.06.003
Citation: ZHOU Hanze, ZHANG Weiwei, SHEN Yan, DU Xiejun, WANG Kun. Research on Prediction Method of Electrochemical Energy Storage Day ahead Adjustment Capability Based on Production Simulation[J]. RURAL ELECTRIFICATION, 2024, (6): 11-16, 92. DOI: 10.13882/j.cnki.ncdqh.2024.06.003

基于生产模拟的电化学储能日前调节能力预测方法研究

Research on Prediction Method of Electrochemical Energy Storage Day ahead Adjustment Capability Based on Production Simulation

  • 摘要: 电化学储能是一种优秀的调节资源,该调节资源建设快、性能强,能紧急提升系统调节能力,但同时存在单位成本高、衰退快等缺点。因此不能盲目建设,需要更精确的调节能力和预测方法,降低其容量裕度,使得在实际生产中提高其利用时长。文章基于生产模拟,通过最优化算法得到电化学储能调节能力预测方法。该方法通过对电力系统传统调节能力缺口场景进行预测分析,得到该场景下的电化学储能调节能力,证明传统的电化学储能调节能力测算方法过于保守,同时得到适用于顶峰需求缺口大、持续时间长的负荷曲线的电化学储能调节能力预测典型参数。

     

    Abstract: 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.

     

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