| 引用本文: | 程云祥,李 阳,卢 芳,等.多源信息辅助分区的主动配电网故障区段定位[J].电力系统保护与控制,2020,48(17):147-161.[点击复制] |
| CHENG Yunxiang,LI Yang,LU Fang,et al.Fault-section location for active distribution networks assisted by multi-source information[J].Power System Protection and Control,2020,48(17):147-161[点击复制] |
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| 多源信息辅助分区的主动配电网故障区段定位 |
| 程云祥,李阳,卢芳,殷爽睿,艾芊,刘祥波,扈佃爱,肖喜鹏 |
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| (1.国网山东省电力公司日照供电公司, 山东 日照 276826;2.上海交通大学电子信息与电气工程学院，上海 200240) |
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| 摘要: |
| 在分布式电源快速发展的背景下，实现主动配电网的快速、准确故障定位面临普适性和容错性等挑战。首先结合主动配电网故障发生位置与过流报警信息之间的关系，分析了现有故障区段定位方法的适用性问题，基于改进的开关函数与适应度函数构建了故障区段定位的数学模型。然后将用电信息采集系统作为故障定位的第二信息源，提出了多源信息故障辅助分区方法，进而利用离散智能优化算法进行求解。最后，采用多种故障及信息畸变场景进行算例仿真，并对比分析了是否利用多源信息及是否采用离散寻优算法等不同定位方法的测试结果，验证了所提方法在主动配电网故障区段定位问题中的适用性、准确性和高效性。 |
| 关键词: 主动配电网 故障区段定位 多源信息 用电信息采集系统 离散智能优化算法 |
| DOI：DOI: 10.19783/j.cnki.pspc.191372 |
| 投稿时间：2019-11-03修订日期：2020-04-29 |
| 基金项目:国网山东省电力公司科技项目资助(52061718004F)；国家自然科学基金项目资助(U1866206) |
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| Fault-section location for active distribution networks assisted by multi-source information |
| CHENG Yunxiang,LI Yang,LU Fang,YIN Shuangrui,AI Qian,LIU Xiangbo,HU Dian’ai,XIAO Xipeng |
| (1. Rizhao Power Supply Company, State Grid Shandong Electric Power Company, Rizhao 276826, China; 2. School of
Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China) |
| Abstract: |
| With the background of the rapid development of distributed generators, realizing fast and accurate fault location of Active Distribution Networks (ADNs) faces challenges of universality and fault-tolerance. First, the applicability of the existing fault location methods is analyzed according to the relationship between the fault locations of ADNs and over-current alarm information. Based on improved switch function and fitness function, a mathematical model of fault location is constructed. Then taking the Customer Electric Information Acquisition System (CEIAS) as the second information source for fault location, a fault auxiliary partition method using multi-source information is proposed, and the discrete intelligent optimization algorithm is used to solve the problem. Finally, several kinds of fault with different kinds of information distortion scenarios are used for simulation. The test results of different fault location methods such as whether multi-source information is used and whether discrete optimization algorithm is used are compared and analyzed, so as to verify the applicability, accuracy and efficiency of the proposed method for the fault location problem of ADNs.
This work is supported by Science and Technology Project of State Grid Shandong Electric Power Company (No. 52061718004F) and National Natural Science Foundation of China (No. U1866206). |
| Key words: active distribution network fault-section location multi-source information customer electric information acquisition system discrete intelligent optimization algorithm |
