Economic Dispatch of Power System Accurately Considering the Life of Large-scale Energy Storage Battery

被引：0
|
作者：
Li Z. [1 ]
Yu J. [1 ]
Yang Z. [1 ]
Li W. [1 ]
Fan X. [2 ]
机构：
[1] State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Shapingba District, Chongqing
[2] State Grid Chongqing Economic Research Institute, Shapingba District, Chongqing
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2023年 / 43卷 / 19期
基金：
中国国家自然科学基金;
关键词：
data driven; economic dispatching; energy storage life; multi-parameter programming theory; new power system;
D O I：
10.13334/j.0258-8013.pcsee.221370
中图分类号：
学科分类号：
摘要：
With the development of new power system, large-scale energy storage becomes increasingly important in the economic dispatching of power system. As the key index of energy storage operation, the attenuation characteristics of energy storage life will have a significant impact on the economic dispatching of power system. In the traditional power system, the energy storage life is mostly modeled in the form of analytical function with a measurable electrical quantity, but the complex operating conditions of energy storage are not considered, resulting in low estimation accuracy, which is not suitable for new power system. Therefore, this paper proposes an economic dispatching method, which accurately considers the life of large-scale energy storage batteries. First, for demonstrating the significant impact of energy storage life on economic dispatching results, based on the multi-parameter programming theory, a correlation analysis method between economic dispatching results and energy storage life is proposed. Taking energy storage life as the planning parameter, the economic dispatching results are characterized as a piecewise function of energy storage life, which theoretically explains the significant impact of the change of energy storage life on economic dispatching results. Furthermore, for ensuring the accuracy of the dispatching results of new power system, a life estimation method of large-scale energy storage battery based on deep neural network is proposed, which realizes the accurate estimation of energy storage battery life. On this basis, an economic dispatching method is proposed, which accurately considers the life of large-scale energy storage batteries, and ensures the effectiveness of the economic dispatching results of power system with large-scale energy storage batteries. Finally, IEEE-30, IEEE-118 bus systems and the actual power system of a province in China are selected as examples to verify the effectiveness and practicability of the proposed method. ©2023 Chin.Soc.for Elec.Eng. 7371.
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页码：7371 / 7382
页数：11
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