Electric Power ›› 2022, Vol. 55 ›› Issue (8): 113-120.DOI: 10.11930/j.issn.1004-9649.202112050
• Power System • Previous Articles Next Articles
YANG Xihang, HUANG Chun, SHEN Yatao, HU Nianen, WAN Ziheng
Received:
2021-12-09
Revised:
2022-04-22
Published:
2022-08-18
Supported by:
YANG Xihang, HUANG Chun, SHEN Yatao, HU Nianen, WAN Ziheng. Fault Location Method for Distribution Lines Based on Loss Power Matching[J]. Electric Power, 2022, 55(8): 113-120.
[1] 宋云亭, 张东霞, 吴俊玲, 等. 国内外城市配电网供电可靠性对比分析[J]. 电网技术, 2008, 32(23): 13–18 SONG Yunting, ZHANG Dongxia, WU Junling, et al. Comparison and analysis on power supply reliability of urban power distribution network at home and abroad[J]. Power System Technology, 2008, 32(23): 13–18 [2] 唐金锐, 尹项根, 张哲, 等. 配电网故障自动定位技术研究综述[J]. 电力自动化设备, 2013, 33(5): 7–13 TANG Jinrui, YIN Xianggen, ZHANG Zhe, et al. Survey of fault location technology for distribution networks[J]. Electric Power Automation Equipment, 2013, 33(5): 7–13 [3] 谢李为, 李勇, 罗隆福, 等. 基于距离矩阵与分支系数的配电网故障定位方法[J]. 中国电机工程学报, 2020, 40(7): 2180–2191,2397 XIE Liwei, LI Yong, LUO Longfu, et al. Fault location method for distribution networks based on distance matrix and branch coefficient[J]. Proceedings of the CSEE, 2020, 40(7): 2180–2191,2397 [4] 胡福年, 孙守娟. 基于图论的矩阵算法在配电网故障定位中的应用[J]. 中国电力, 2016, 49(3): 94–98 HU Funian, SUN Shoujuan. Fault location of distribution network by applying matrix algorithm based on graph theory[J]. Electric Power, 2016, 49(3): 94–98 [5] 王巍璋, 王淳, 尹发根. 基于可达矩阵和贝叶斯定理的含分布式电源的配电网故障区段定位[J]. 中国电力, 2021, 54(7): 93–99,124 WANG Weizhang, WANG Chun, YIN Fagen. Reachability matrix and Bayes' theorem based fault section location of power distribution network with distributed generation[J]. Electric Power, 2021, 54(7): 93–99,124 [6] 孔培, 刘建锋, 周健, 等. 基于整数线性规划的配电网故障定位容错算法[J]. 电力系统保护与控制, 2020, 48(24): 27–35 KONG Pei, LIU Jianfeng, ZHOU Jian, et al. Fault-tolerant algorithm for fault location in distribution network based on integer linear programming[J]. Power System Protection and Control, 2020, 48(24): 27–35 [7] LI H R. Research on fault location of power distribution network based on fault data information[J]. Telecommunications and Radio Engineering, 2020, 79(8): 713–722. [8] 倪泽宇, 季亮, 施佳斌, 等. 基于PQMS电压信息的有源配电网故障定位方法[J]. 电测与仪表, 2020, 57(14): 51–56 NI Zeyu, JI Liang, SHI Jiabin, et al. Fault location method of active distribution network based on voltage information of PQMS[J]. Electrical Measurement & Instrumentation, 2020, 57(14): 51–56 [9] 李泽文, 刘基典, 席燕辉, 等. 基于暂态波形相关性的配电网故障定位方法[J]. 电力系统自动化, 2020, 44(21): 72–79 LI Zewen, LIU Jidian, XI Yanhui, et al. Fault location method for distribution network based on transient waveform correlation[J]. Automation of Electric Power Systems, 2020, 44(21): 72–79 [10] 张远来, 易文韬, 樊启俊, 等. 基于调度运行管理系统的配电网故障研判方案[J]. 电力系统自动化, 2015, 39(1): 220–225 ZHANG Yuanlai, YI Wentao, FAN Qijun, et al. Distribution network fault analysis scheme based on dispatching operation management system[J]. Automation of Electric Power Systems, 2015, 39(1): 220–225 [11] 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): 147–154 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): 147–154 [12] 屈子程, 高亮, 康保林, 等. 基于多源数据的电力系统故障全信息诊断模型[J]. 电力系统保护与控制, 2019, 47(22): 59–66 QU Zicheng, GAO Liang, KANG Baolin, et al. A power system fault full information diagnosis model based on multi-source data[J]. Power System Protection and Control, 2019, 47(22): 59–66 [13] 刘科研, 董伟杰, 肖仕武, 等. 基于电压数据SVM分类的有源配电网故障判别及定位[J]. 电网技术, 2021, 45(6): 2369–2379 LIU Keyan, DONG Weijie, XIAO Shiwu, et al. Fault identification and location of active distribution network based on SVM classification of voltage data[J]. Power System Technology, 2021, 45(6): 2369–2379 [14] 董文娜, 王增平, 赵乔, 等. 基于人工免疫聚类算法的配电网故障状态相似性分析方法[J]. 电力系统及其自动化学报, 2021, 33(6): 60–66 DONG Wenna, WANG Zengping, ZHAO Qiao, et al. Fault state similarity analysis method for distribution network based on artificial immune clustering algorithm[J]. Proceedings of the CSU-EPSA, 2021, 33(6): 60–66 [15] LIN R H, PEI Z X, YE Z Z, et al. A voted based random forests algorithm for smart grid distribution network faults prediction[J]. Enterprise Information Systems, 2020, 14: 496–514. [16] 刘科研, 吴心忠, 石琛, 等. 基于数据挖掘的配电网故障风险预警[J]. 电力自动化设备, 2018, 38(5): 148–153 LIU Keyan, WU Xinzhong, SHI Chen, et al. Fault risk early warning of distribution network based on data mining[J]. Electric Power Automation Equipment, 2018, 38(5): 148–153 [17] 魏然, 张磐, 高强伟, 等. 基于网络树状图的低压配电网故障研判仿真分析[J]. 电力系统保护与控制, 2021, 49(13): 167–173 WEI Ran, ZHANG Pan, GAO Qiangwei, et al. Simulation analysis of low-voltage distribution network fault diagnosis based on tree structure diagram[J]. Power System Protection and Control, 2021, 49(13): 167–173 [18] LOPEZ-MARTIN M, SANCHEZ-ESGUEVILLAS A, HERNANDEZ-CALLEJO L, et al. Novel data-driven models applied to short-term electric load forecasting[J]. Applied Sciences, 2021, 11(12): 5708. [19] 陆海, 罗凤章, 杨欣, 等. 基于数据驱动理念的电力日负荷曲线预测方法研究[J]. 电力系统及其自动化学报, 2020, 32(1): 42–49 LU Hai, LUO Fengzhang, YANG Xin, et al. Study on daily power load curve forecasting method based on data-driven concept[J]. Proceedings of the CSU-EPSA, 2020, 32(1): 42–49 [20] 庄家懿, 杨国华, 郑豪丰, 等. 基于多模型融合的CNN-LSTM-XGBoost短期电力负荷预测方法[J]. 中国电力, 2021, 54(5): 46–55 ZHUANG Jiayi, YANG Guohua, ZHENG Haofeng, et al. Short-term load forecasting method based on multi-model fusion using CNN-LSTM-XGBoost framework[J]. Electric Power, 2021, 54(5): 46–55 [21] 荀超, 陈伯建, 吴翔宇, 等. 基于改进K-means算法的电力短期负荷预测方法研究[J]. 电力科学与技术学报, 2022, 37(1): 90–95 XUN Chao, CHEN Bojian, WU Xiangyu, et al. Research on short term power load forecasting method based on improved K-means algorithm[J]. Journal of Electric Power Science and Technology, 2022, 37(1): 90–95 |
[1] | Qingchao SUN, Jialiang LI, Wanli JIANG, Ruoyu WANG, Zhipeng LI, Yarong HU, Jianbin ZHU. Mid-long Term Urban Power Load Forecasting Based on Data-Driven Spatio-temporal Networks [J]. Electric Power, 2025, 58(3): 168-174. |
[2] | Yufei WANG, Tong DU, Weiguo BIAN, Zhao ZHANG, Huiting LIU, Lijun YANG. Short-term Load Forecasting Based on DTW K-medoids and VMD Multi-branch Neural Network for Multiple Users [J]. Electric Power, 2024, 57(6): 121-130. |
[3] | Hang LIU, Hao SHEN, Yong YANG, Ling JI, Yang YU. Load Forecast of Electric Trucks Aggregation Based on Higher-order Markov Chains [J]. Electric Power, 2024, 57(5): 61-69. |
[4] | Manlin HU, Nan LI, Yiming LI, Zhiyong PI, Yi ZHU, Zhenxing LI. Fault Location Method for Distribution Network with Photovoltaic Power Based on Negative Sequence Component [J]. Electric Power, 2024, 57(5): 188-199. |
[5] | Peng ZHENG, Pengcheng HAN, Guodong WANG, Ying LOU. Refined Diagnosis Method for Disconnected High-Resistance Grounding Faults in Medium-Voltage Distribution Lines [J]. Electric Power, 2024, 57(4): 220-228. |
[6] | Dan LI, Shuai HE, Wei YAN, Yue HU, Zeren FANG, Yunyan LIANG. Annual Daily Average Load Curve Prediction Considering Dynamic Time Anchors and Typical Feature Constraints [J]. Electric Power, 2024, 57(11): 36-47. |
[7] | Ying ZHOU, Xuefeng BAI, Yang WANG, Min QIU, Chong SUN, Yajie WU, Bin LI. Analysis and Evolution Trend of Temperature-Sensitive Loads for Virtual Power Plant Operation [J]. Electric Power, 2024, 57(1): 9-17. |
[8] | TANG Xuchen, CHAO Zhu, DUAN Qinwei, SU Binghong, CHEN Huican. Probabilistic Load Forecasting Method of High Voltage Substation Based on Hierarchical Measurement Data [J]. Electric Power, 2023, 56(8): 143-150. |
[9] | JIA Wei, HUANG Yuchun. Method of Load Forecasting in Microgrid Based on Differential Expansion of Small Sample Data [J]. Electric Power, 2023, 56(8): 151-156,165. |
[10] | PI Zhiyong, ZHU Yi, LIAO Xuan, LI Zhenxing, FANG Hao, WU Pei. Fault Location Method for Communication Link with Multi-information Fusion Modeling of Smart Substation [J]. Electric Power, 2023, 56(8): 207-215. |
[11] | PI Zhiyong, ZHU Yi, LIAO Xuan, LI Zhenxing, FANG Hao, WU Pei. Fault Location Method for Communication Link in Smart Substation Based on Deep Learning [J]. Electric Power, 2023, 56(7): 136-145. |
[12] | LI Tiecheng, ZHANG Weiming, ZANG Qian, WANG Xianzhi, REN Jiangbo, ZHOU Kun. Online Self-Healing Scheme of Distribution Network Based on Mixed Integer Linear Programming [J]. Electric Power, 2023, 56(5): 129-136. |
[13] | CAO Fulu, ZHAO Jinbin, PAN Chao, MAO Ling, QU Keqing. An Active Ground Fault Location Method for Low-Voltage DC Lines Based on DFFT [J]. Electric Power, 2023, 56(4): 184-191. |
[14] | Ming ZHONG, Jun TAO, Xunyu LIU, Yi YANG, Bingyuan YANG. Smart Substation Optical Fiber Virtual and Real Loop Mapping and Fault Diagnosis Technology [J]. Electric Power, 2023, 56(10): 171-178. |
[15] | LI Wenwu, SHI Qiang, LI Dan, HU Qunyong, TANG Yun, MEI Jinchao. Multi-stage Optimization Forecast of Short-term Power Load Based on VMD and PSO-SVR [J]. Electric Power, 2022, 55(8): 171-177. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||