基于动态峰谷时段划分的储能调峰调频经济调度研究

Research on Economic Scheduling of ES Peak and Frequency Regulation Based on Dynamic Peak-Valley Time Division

为高效合理地利用储能(energy storage,ES)设备和提高ES多应用场景切换的准确性,在分析ES多应用场景的基础上,提出一种基于ES等容量调峰的峰谷时段划分方法,旨在提高峰谷时段划分和ES应用场景切换准确性。在此基础上,构建基于动态峰谷时段划分的ES多应用场景经济优化模型,即在非调峰阶段,利用ES参与平抑负荷波动,充分发挥了ES“闲时复用”的功能,进而提高了ES利用率和经济收益。仿真结果表明:相比单调峰经济模型,ES多应用场景经济优化模型投资回收期缩短了1.17年,与单调峰场景时段划分相比,动态峰谷时段划分方法投资回收年限缩短了1.75年,有效证明了该方法的可行性。

In order to effectively utilize energy storage(ES)devices and improve the accuracy of ES’s switching between multiapplication scenarios,this paper proposes a peak-valley time division method based on equal capacity after analyzing ES’s multiapplication scenarios and tries to improve the peak-valley time division.In addition,an economically optimized model of ES multiapplication scenarios is constructed based on dynamic peak-valley time division,which employs ES to suppress load fluctuation during non-peak regulation,makes ES function normally even in idle hours,and improves ES’s utilization rate and economic benefits.Finally,the simulation analysis shows that compared with the economic model of monotonic peak regulation,the economically optimized model of ES multi-application scenarios can reduce the payback period by 1.17 years.Furthermore,compared with the monotonic peak time division,the dynamic peak-valley time division method can shorten the payback period by 1.75 years,which verifies the feasibility of the method.