| 引用本文: | 高锋阳,李 龙,裴淑萍,等.考虑μPMU节点优化配置的含DG配电网故障分层定位方法[J].电力系统保护与控制,2025,53(23):13-24.[点击复制] |
| GAO Fengyang,LI Long,PEI Shuping,et al.Hierarchical fault location for distribution networks with DG considering optimal μPMU node configuration[J].Power System Protection and Control,2025,53(23):13-24[点击复制] |
|
| 摘要: |
| 针对分布式电源(distributed generation, DG)接入配电网后潮流分布波动性强、故障信息特征微弱以及节点量测信息有限等因素导致配电网故障定位难度增大的问题，提出一种考虑微型同步相量测量装置(micro phasor measurement unit, μPMU)节点优化配置的含DG配电网故障分层定位方法。首先，在故障信息提取环节引入数据预处理模块，增强故障定位模型所需数据质量。其次，针对故障定位模型的适应度函数与算法寻优能力进行改进，提升故障定位容错性能及算法全局收敛速度。再次，针对配电网分支众多及拓扑复杂导致算法搜索空间维度大的问题，建立基于μPMU节点最优配置的自适应分层降维模型，实现“区域-区段”故障层级定位。仿真验证结果表明，在含DG的IEEE33节点配电网中，所提方法可使寻优节点维度降低54.5%，故障定位准确率达到95%左右，且定位耗时短、抗噪声干扰及耐接地电阻能力强，在多重故障及信息畸变存在情况下故障定位能力及容错性能优异。 |
| 关键词: 有源配电网 故障定位 PMU优化配置 免疫算法 信息畸变 |
| DOI：10.19783/j.cnki.pspc.250073 |
| 投稿时间：2025-01-18修订日期：2025-06-13 |
| 基金项目:甘肃省自然科学基金项目资助(23JRRA905)；甘肃省重点研发计划项目资助(23YFFA0059)；兰州交通大学-西南交通大学联合创新基金项目资助(LH2024027) |
|
| Hierarchical fault location for distribution networks with DG considering optimal μPMU node configuration |
| GAO Fengyang1,LI Long1,PEI Shuping1,GE Leijiao1,2,YANG Dong1,ZHA Pengtang1 |
| (1. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;
2. School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China) |
| Abstract: |
| To address the challenges of fault location in distribution networks with distributed generation (DG), caused by strong power flow fluctuations, weak fault characteristic signals, and limited node measurement information, a hierarchical fault location method considering optimal micro phasor measurement unit (μPMU) node configuration is proposed. First, a data preprocessing module is introduced in the fault information extraction stage to enhance the quality of data required by the fault location model. Second, the fitness function and optimization ability of the fault location model are improved to enhance fault-tolerant performance and global convergence speed. Third, to address the high-dimensional search space resulting from numerous branches and complex topology in the distribution network, an adaptive hierarchical model based on optimal μPMU node configuration is established to achieve “regional-sectional” hierarchical fault location. Simulation results based on the IEEE 33-node distribution network with DG demonstrates that the proposed method reduces the optimization node dimensionality by 54.5%, achieves a fault location accuracy of about 95%, and features short processing time, strong noise immunity, and robustness against grounding resistance. Moreover, it exhibits excellent fault location capability and fault-tolerance performance even under multiple faults and information distortion conditions. |
| Key words: active distribution network fault location PMU optimal configuration immune algorithm information distortion |
