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| Research on wide-area cooperative testing method for distributed protection and self-healing system of distribution network based on multi-fault scenarios |
| LI Dongsheng, LIU Tengfei, ZHAO Libao |
| Beijing BOE Power New Energy Electric Co., Ltd, Beijing 100176 |
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Abstract With the advancement of the construction of new-type power systems, the distributed protection and self-healing system has become a core measure to improve the power supply reliability of distribution networks. However, great difficulties exist in the field testing of the action logic of distributed feeder automation for distribution networks, and the testing of the cooperative performance of multiple testing terminals under complex fault scenarios is confronted with such challenges as insufficient synchronization accuracy, difficulties in on-site power outage and low testing efficiency. In this paper, a wide-area cooperative testing method is proposed, and a high-integrity real-time closed- loop testing platform is constructed. Based on high-precision synchronous triggering technology and cloud-edge collaborative testing technology, the platform builds a multi-terminal parallel testing system with millisecond-level synchronous excitation, which realizes the synchronization and interaction between electrical signals and control signals of intelligent terminals for distributed feeder automation. Thus, it can realistically simulate the fault characteristics and logical processing functions of the distributed feeder automation system, and conduct a multi-dimensional performance evaluation of the distributed protection and self-healing system of distribution networks. Finally, empirical verification on a 10 kV distribution network shows that the proposed method supports the fault scenario testing of various typical topological structures and significantly improves the work efficiency, providing key technical support for the engineering application of the system.
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Received: 18 March 2026
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| Cite this article: |
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LI Dongsheng,LIU Tengfei,ZHAO Libao. Research on wide-area cooperative testing method for distributed protection and self-healing system of distribution network based on multi-fault scenarios[J]. Electrical Engineering, 2026, 27(9): 55-60.
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| URL: |
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https://dqjs.cesmedia.cn/EN/Y2026/V27/I9/55
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[1] 陆健, 邹晓峰, 李凡, 等. 考虑分布式新能源及其随机性的智能电网自愈控制研究[J]. 电测与仪表, 2025, 62(7): 156-164. [2] Sheng Wanxing, Liu Keyan, Li Zhao, et al.Collabo- rative fault recovery and network reconstruction method for cyber-physical-systems based on double layer optimization[J]. CSEE Journal of Power and Energy Systems, 2023, 9(1): 380-392. [3] 陈俞邑, 刘健辰. 考虑网络服务费的电-热综合能源端对端交易策略[J]. 电气技术, 2025, 26(6): 17-28. [4] 杨福, 臧璇, 瞿寒冰, 等. 基于配电自动化的配网单相接地故障定位与自愈[J]. 电力科学与技术学报, 2020, 35(4): 176-180. [5] 安小宇, 张召峰, 王乾, 等. 基于改进变分模态分解与确定学习的单相接地故障早期诊断研究[J]. 电气技术, 2026, 27(2): 1-12. [6] 张智, 李富, 王国宇, 等. 基于零序电流注入的配电网故障自愈控制方法[J]. 电力科学与技术学报, 2025, 40(1): 92-100. [7] 陈晓龙, 孙中青, 李永丽, 等. 考虑园区综合能源系统接入的花瓣式配电网故障自愈策略[J]. 电力自动化设备, 2025, 45(7): 61-70. [8] 李娟, 汪家铭, 许苏迪, 等. 基于量子萤火虫算法的配电网故障恢复策略[J]. 中国电力, 2023, 56(12): 191-198. [9] 潘凯岩, 卢建刚, 赵瑞锋, 等. 基于共识算法的多微电网系统自愈操作的研究与分析[J]. 制造业自动化, 2023, 45(10): 10-13, 49. [10] 周静, 朱凌锋, 俞立婷, 等. 基于KL散度的含分布式电源配电网纵联保护[J]. 电力系统及其自动化学报, 2025, 37(12): 116-125. [11] 宗瑾, 梁伟宸, 赵祎薇, 等. 分布式电源接入配电网的保护适应性评估方法[J]. 电气工程学报, 2026, 21(2): 308-318. [12] 杨洋, 李胜文, 陈晓乾, 等. 基于故障序电流幅相特性的含分布式电源配电网纵联保护方案[J]. 太原理工大学学报, 2024, 55(1): 93-101. [13] 陈冉, 陆健, 沈冰, 等. 馈线自动化系统的集成测试方案分析[J]. 电力系统自动化, 2016, 40(20): 121-125. [14] 孙培博, 王伟胜, 汪海蛟, 等. 计及小干扰稳定约束的新能源并网系统构网型单元配置方法[J]. 电工技术学报, 2025, 40(9): 2809-2826. [15] 钱肖, 温彦军, 张文杰, 等. 基于无线通信的智能分布式馈线自动化技术[J]. 电力工程技术, 2021, 40(3): 135-140. [16] 易土雄, 汪朗峰. 基于CiteSpace软件的光伏发电在工程管理领域的研究综述[J]. 太阳能, 2026(2): 15-22. [17] 马啸宇. 基于RTLAB的馈线自动化建模与检测技术研究[D]. 贵阳: 贵州大学, 2023. |
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