计及电池储能系统失效特性的电力系统运行可靠性评估
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作者:
作者单位:

1.杭州电力设备制造有限公司 余杭群力成套电气制造分公司,杭州 311100;2.重庆大学 输变电装备技术 全国重点实验室,重庆 400044;3.国网浙江省电力有限公司 杭州市余杭区供电公司,杭州 311100

作者简介:

姚海燕(1978—),女,硕士,主要从事数据资产、配网规划工作。

通讯作者:

余娟,女,博士,教授,主要研究方向为电力与能源经济优化运行、风险评估、深度学习,(E-mail)yujuancqu@cqu.edu.cn。

中图分类号:

TM732

基金项目:

国家重点研发计划项目资助(2021YFE0191000)。


Power system operational reliability assessment considering battery energy storage system failures
Author:
Affiliation:

1.Yuhang Qunli Complete Electrical Manufacturing Branch of Hangzhou Electric Power Equipment Manufacturing Co., Ltd., Hangzhou 311100, P. R. China;2.State Key Laboratory of Power Transmission Equipment Technology, Chongqing University, Chongqing 400044, P. R. China;3.State Grid Zhejiang Electric Power Co., Ltd. Hangzhou Yuhang District Power Supply Company, Hangzhou 311100, P. R. China

Fund Project:

Supported by the National Key R&D Program of China (2021YFE0191000).

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    摘要:

    储能电池系统响应速度快、调节能力强,能够有效应对可再生能源随机性。然而,随着电池储能比例提高,其失效特性对电力系统可靠性的影响逐步增大。文中提出了计及电池储能系统失效特性的电力系统运行可靠性评估方法。首先,基于通用生成函数建立了电池储能系统多维性能衰减概率模型,结合储能电池热失控失效预警概率,建立综合考虑电池储能失效的可用输出功率模型;然后,构建了计及电池储能系统失效的电力系统负荷削减模型,并基于蒙特卡洛模拟法,提出了考虑电池储能系统失效特性的电力系统可靠性评估方法,精准考虑电池储能系统热失控失效和多维性能衰减失效对电力系统可靠性的影响;最后,在IEEE RTS-79节点系统仿真分析,验证了文中所提方法的有效性。

    Abstract:

    Battery energy storage systems (BESS) feature rapid response and strong regulation capabilities, making them effective in handling the intermittency of renewable energy. However, as the penetration of BESS increases, their failure characteristics pose a growing influence on power system reliability. To address this issue, this paper proposes a reliability assessment method for power system operation that explicitly accounts for BESS failures. First, a multi-dimensional performance degradation probability model of BESS is established using the generalized generating function. By integrating this model with the probability of thermal runaway failure, an available output power model that comprehensively considers BESS failure is established. Then, a load curtailment optimization model considering BESS is constructed. Furthermore, a Monte Carlo simulation-based reliability assessment method is proposed to capture both thermal runaway failures and multi-dimensional performance degradation of BESS. Finally, the effectiveness of the proposed method is verified through case studies in the IEEE RTS-79 bus system.

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姚海燕,王博石,夏红军,余娟,俞啸玲,缪宇峰.计及电池储能系统失效特性的电力系统运行可靠性评估[J].重庆大学学报,2025,48(11):1-13.

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  • 收稿日期:2024-01-03
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  • 在线发布日期: 2025-12-15
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