|
|
|
| Method of Alarm Information Correction and Fault Location for Distribution Network with Inverter-Interfaced Distributed Generation |
| Li Zongbo1, Cui Yijia1, Wang Haoqing2, Xi Yibo3 |
1. Key Laboratory of Modern Power System Simulation and control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China;
2. China Electric Power Research Institute Beijing 100192 China;
3. Ultra High Voltage Company State Grid Ningxia Electric Power Co. Ltd Yinchuan 750000 China |
|
|
|
Abstract The integration of inverter-interfaced distributed generation (IIDG) into distribution networks introduces issues of missing or false alarms at the existing feeder terminal unit (FTU). Simultaneously, external environmental factors can distort the reported fault information of FTUs, making it challenging to locate faults accurately. Considering the coupled impact of IIDG and environmental factors, this paper proposes a method for correcting FTU fault information and fault location by fusing alarm information and partial telemetry.
Firstly, the fault type is judged according to the comparison of the number of lines, current mutation time, and amplitude of the short-circuit current characteristic at the switch. Then, the verification method of initial positioning results and the verification and correction method of alarm information are proposed. Based on the ratio of positive-sequence current amplitudes, a symmetric short circuit identification method is proposed by using the positive sequence current at the exit of the circuit and two adjacent sections. The effect of undetectable IIDGs is eliminated by rotating the leading phase current by 120° and subtracting the lagging phase current. Considering the type of unmeasured load, an asymmetric short circuit identification method based on the current similarity in adjacent sections is proposed. Then, the accuracy of the initial fault location results is judged. If the initial fault location result contains the real fault section, the location is considered accurate, and only the location result needs to be modified. If the real fault section is not included, a hierarchical analysis method of short-circuit characteristics of the distribution network is proposed. The distribution network is divided into several regions using the access points of branch lines or IIDG as boundaries. Short-circuit current characteristics are used to assess the fault occurrence area, and the short-circuit identification method filters fault sections, achieving the validation and correction of fault information. Finally, a standard example of IEEE 33 nodes and a model of the actual distribution network are built in PSCAD to verify the validity of alarm information correction and fault location methods.
The following conclusions can be drawn from the simulation analysis. (1) When the double faults of different feeders occur, there are at least 2 lines with short circuit characteristics and an interval of no less than 20 ms between the current mutation time. When the double fault of the same feeder occurs, the three-phase short-circuit amplitude is no longer symmetrical, which is taken to be greater than 1.05 or less than 0.95. In addition to the above two cases, a single fault occurs in the line. (2) For symmetrical short circuits, the ratio of positive-sequence current amplitudes between the line outlet and the fault point is about 1, while the ratio of positive-sequence current amplitudes in the upstream and downstream sections of the fault point is not less than 1.43. The fault section can be accurately investigated according to this feature. For asymmetric short circuits, the differential current amplitude of the neighboring segments of the fault section is significantly larger than the fixed value, even up to tens of times the gap effect, which can effectively identify the fault section.
(3) Combining the proposed area division method of the distribution network and the short circuit identification method achieves the verification and correction of alarm information and improves computational efficiency.
|
|
Received: 30 January 2024
|
|
|
|
|
|
[1] 褚旭, 鲍泽宏, 许立强, 等. 基于时序卷积残差网络的主动配电系统线路短路故障诊断方案[J]. 电工技术学报, 2023, 38(8): 2178-2190.
Chu Xu, Bao Zehong, Xu Liqiang, et al.Fault line diagnosis scheme of active distribution system based on time-sequence convolution residual network[J]. Transactions of China Electrotechnical Society, 2023, 38(8): 2178-2190.
[2] 喻锟, 胥鹏博, 曾祥君, 等. 基于模糊测度融合诊断的配电网接地故障选线[J]. 电工技术学报, 2022, 37(3): 623-633.
Yu Kun, Xu Pengbo, Zeng Xiangjun, et al.Grounding fault line selection of distribution networks based on fuzzy measures integrated diagnosis[J]. Transactions of China Electrotechnical Society, 2022, 37(3): 623-633.
[3] 张健磊, 高湛军, 陈明, 等. 考虑复故障的有源配电网故障定位方法[J]. 电工技术学报, 2021, 36(11): 2265-2276.
Zhang Jianlei, Gao Zhanjun, Chen Ming, et al.Fault location method for active distribution networks considering combination faults[J]. Transactions of China Electrotechnical Society, 2021, 36(11): 2265-2276.
[4] 刘卫东. 含分布式电源的配电网故障区段定位方法研究[D]. 阜新: 辽宁工程技术大学, 2023.
Liu Weidong.Research on fault location method for distribution network with distributed power source[D]. Fuxin: Liaoning Technical University, 2023.
[5] 郑涛, 马龙, 张波. 有源配电网具有容错性的快速故障区段定位方法[J]. 华北电力大学学报(自然科学版), 2022, 49(1): 12-21.
Zheng Tao, Ma Long, Zhang Bo.Fault tolerant fast fault section location method for active distribution network[J]. Journal of North China Electric Power University (Natural Science Edition), 2022, 49(1): 12-21.
[6] 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.
[7] 杨国华, 冯骥, 柳萱, 等. 基于改进秃鹰搜索算法的含分布式电源配电网分区故障定位[J]. 电力系统保护与控制, 2022, 50(18): 1-9.
Yang Guohua, Feng Ji, Liu Xuan, et al.Fault location of a distribution network hierarchical model with a distribution generator based on IBES[J]. Power System Protection and Control, 2022, 50(18): 1-9.
[8] 高锋阳, 李昭君, 袁成, 等. 量子计算和免疫优化算法相结合的有源配电网故障定位[J]. 高电压技术, 2021, 47(2): 396-405.
Gao Fengyang, Li Zhaojun, Yuan Cheng, et al.Fault location for active distribution network based on quantum computing and immune optimization algorithm[J]. High Voltage Engineering, 2021, 47(2): 396-405.
[9] 吉兴全, 张朔, 张玉敏, 等. 基于IELM算法的配电网故障区段定位[J]. 电力系统自动化, 2021, 45(22): 157-166.
Ji Xingquan, Zhang Shuo, Zhang Yumin, et al.Fault section location for distribution network based on improved electromagnetism-like mechanism algorithm[J]. Automation of Electric Power Systems, 2021, 45(22): 157-166.
[10] 刘蓓, 汪沨, 陈春, 等. 和声算法在含DG配电网故障定位中的应用[J]. 电工技术学报, 2013, 28(5): 280-284.
Liu Bei, Wang Feng, Chen Chun, et al.Harmony search algorithm for solving fault location in distribution networks with DG[J]. Transactions of China Electrotechnical Society, 2013, 28(5): 280-284.
[11] 王秋杰, 金涛, 谭洪, 等. 基于分层模型和智能校验算法的配电网故障定位技术[J]. 电工技术学报, 2018, 33(22): 5327-5337.
Wang Qiujie, Jin Tao, Tan Hong, et al.The technology on fault location of distribution network based on hierarchical model and intelligent checking algorithm[J]. Transactions of China Electrotechnical Society, 2018, 33(22): 5327-5337.
[12] 王秋杰, 金涛, 申涛, 等. 利用多因素降维的配电网区段定位完全解析模型[J]. 电工技术学报, 2019, 34(14): 3012-3024.
Wang Qiujie, Jin Tao, Shen Tao, et al.A complete analytic model of section location in distribution network based on multi-factor dimensionality deduction[J]. Transactions of China Electrotechnical Society, 2019, 34(14): 3012-3024.
[13] 郭利爽, 李凤婷, 赵新利, 等. 基于子网络划分的含DG配电网故障区段定位[J]. 电力系统保护与控制, 2020, 48(7): 76-84.
Guo Lishuang, Li Fengting, Zhao Xinli, et al.Fault section location for distribution network with DG based on sub-network partition[J]. Power System Protection and Control, 2020, 48(7): 76-84.
[14] 罗梅, 杨洪耕. 配电网故障定位的一种改进通用矩阵算法[J]. 电力系统保护与控制, 2012, 40(5): 64-68.
Luo Mei, Yang Honggeng.An improved general matrix algorithm for fault locating in distribution system[J]. Power System Protection and Control, 2012, 40(5): 64-68.
[15] 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.
[16] 徐彪, 尹项根, 张哲, 等. 矩阵算法和优化算法相结合的配电网故障定位[J]. 电力系统自动化, 2019, 43(5): 152-158.
Xu Biao, Yin Xianggen, Zhang Zhe, et al.Fault location for distribution network based on matrix algorithm and optimization algorithm[J]. Automation of Electric Power Systems, 2019, 43(5): 152-158.
[17] 梁英达, 田书, 刘明杭. 基于相量校正的多源配电网故障区段定位[J]. 电力系统保护与控制, 2023, 51(1): 33-42.
Liang Yingda, Tian Shu, Liu Minghang.Fault section location of multi-source distribution network based on phasor correction[J]. Power System Protection and Control, 2023, 51(1): 33-42.
[18] 邢晓东, 石访, 张恒旭, 等. 基于同步相量的有源配电网自适应故障区段定位方法[J]. 电工技术学报, 2020, 35(23): 4920-4930.
Xing Xiaodong, Shi Fang, Zhang Hengxu, et al.Adaptive section location method for active distribution network based on synchronized phasor measurement[J]. Transactions of China Electrotechnical Society, 2020, 35(23): 4920-4930.
[19] 郑涛, 马龙, 李博文. 基于馈线终端装置信息畸变校正的有源配电网故障区段定位[J]. 电网技术, 2021, 45(10): 3926-3934.
Zheng Tao, Ma Long, Li Bowen.Fault section location of active distribution network based on feeder terminal unit information distortion correction[J]. Power System Technology, 2021, 45(10): 3926-3934.
[20] 焦彦军, 杜松广, 王琪, 等. 基于信息矛盾原理的畸变信息修正及配电网故障区段定位[J]. 电力系统保护与控制, 2014, 42(2): 43-48.
Jiao Yanjun, Du Songguang, Wang Qi, et al.Information aberrance correction and fault-section location for distribution networks based on the information contradiction theory[J]. Power System Protection and Control, 2014, 42(2): 43-48.
[21] 张艳霞, 尹佳鑫, 蒙高鹏, 等. 基于错误逻辑区域检测的配电网容错故障定位[J]. 电机与控制学报, 2017, 21(11): 1-8.
Zhang Yanxia, Yin Jiaxin, Meng Gaopeng, et al.False-tolear nt fault location method for distribution networks based on wrong-logic region detecting[J]. Electric Machines and Control, 2017, 21(11): 1-8.
[22] 李君, 何敏, 黄守道, 等. 基于相位差的小电阻接地有源配电网接地故障保护算法[J]. 电工技术学报, 2024, 39(23): 7418-7429.
Li Jun, He Min, Huang Shoudao, et al.Grounding fault protection algorithm of small resistance earthing active distribution network based on phase difference[J]. Transactions of China Electrotechnical Society, 2024, 39(23): 7418-7429.
[23] 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.
[24] 王晓伟, 张晓, 赵倩宇, 等. 基于暂态零模电流的配电网故障区段定位[J]. 智慧电力, 2021, 49(3): 103-110.
Wang Xiaowei, Zhang Xiao, Zhao Qianyu, et al.Fault section location in distribution system based on transient zero-mode current[J]. Smart Power, 2021, 49(3): 103-110.
[25] 张姝, 杨健维, 何正友, 等. 基于线路暂态重心频率的配电网故障区段定位[J]. 中国电机工程学报, 2015, 35(10): 2463-2470.
Zhang Shu, Yang Jianwei, He Zhengyou, et al.Fault section location of the distribution network based on transient center frequency[J]. Proceedings of the CSEE, 2015, 35(10): 2463-2470.
[26] 王玲, 邓志, 马明, 等. 基于状态估计残差比较的配电网故障区段定位方法[J]. 电力系统保护与控制, 2021, 49(14): 132-139.
Wang Ling, Deng Zhi, Ma Ming, et al.A method for locating fault sections in distribution networks based on the comparison of state estimation residual errors[J]. Power System Protection and Control, 2021, 49(14): 132-139.
[27] 邓丰, 徐帆, 曾哲, 等. 基于多源暂态信息融合的单端故障定位方法[J]. 电工技术学报, 2022, 37(13): 3201-3212.
Deng Feng, Xu Fan, Zeng Zhe, et al.Single-ended fault location method based on multi-source transient information fusion[J]. Transactions of China Electrotechnical Society, 2022, 37(13): 3201-3212.
[28] Sun Kongming, Chen Qing, Gao Zhanjun.An automatic faulted line section location method for electric power distribution systems based on multisource information[J]. IEEE Transactions on Power Delivery, 2016, 31(4): 1542-1551.
[29] 王伟杰, 曾鑫洁, 徐远途, 等. 基于正序突变量相轨迹辨识的可再生能源配电网电流保护[J]. 发电技术, 2024, 45(4): 753-764.
Wang Weijie, Zeng Xinjie, Xu Yuantu, et al.Renewable energy distribution network overcurrent protection based on positive-sequence sudden-change component locus identification[J]. Power Generation Technology, 2024, 45(4): 753-764.
[30] 张春梅, 许兴雀, 刘思麟. 基于多源数据融合的配电网故障诊断技术[J]. 上海交通大学学报, 2024, 58(5): 739-746.
Zhang Chunmei, Xu Xingque, Liu Silin.Fault diagnosis technology of distribution network based on multi-source data fusion[J]. Journal of Shanghai Jiao Tong University, 2024, 58(5): 739-746.
[31] 罗国敏, 谭颖婕, 吴梦宇, 等. 考虑电压跌落差异的有源配电网功率差动保护[J]. 电工技术学报, 2025, 40(4): 1287-1306.
Luo Guomin, Tan YingJie, Wu Mengyu, et al. Power differential protection for active distribution networks considering voltage drop differences[J]. Transactions of China Electrotechnical Society, 2025, 40(4): 1287-1306.
[32] 肖澍昱, 林湘宁, 魏繁荣, 等. 面向含不可测分支配电线路不对称故障可靠辨识的负序电流比相保护判据[J]. 电工技术学报, 2023, 38(9): 2435-2447.
Xiao Shuyu, Lin Xiangning, Wei Fanrong, et al.Phase comparison protection of negative sequence current for distribution lines with unmeasurable branches[J]. Transactions of China Electrotechnical Society, 2023, 38(9): 2435-2447.
[33] 杨晶晶, 林凡勤, 周成瀚, 等. 含分布式电源的馈线电流序分量比较式保护[J]. 电力系统保护与控制, 2019, 47(15): 116-123.
Yang Jingjing, Lin Fanqin, Zhou Chenghan, et al.Comparison protection method of current sequence components for feeder with distributed generation[J]. Power System Protection and Control, 2019, 47(15): 116-123.
[34] 周成瀚, 邹贵彬, 杜肖功, 等. 基于正序电流故障分量的有源配电网纵联保护[J]. 中国电机工程学报, 2020, 40(7): 2102-2112, 2390.
Zhou Chenghan, Zou Guibin, Du Xiaogong, et al.A pilot protection method based on positive sequence fault component current for active distribution networks[J]. Proceedings of the CSEE, 2020, 40(7): 2102-2112, 2390.
[35] 国家电网有限公司. Q/GDW 11147—2017 分布式电源接入配电网设计规范[S]. 北京: 国家电网有限公司, 2018.
State Grid Corporation of China. Q/GDW 11147—2017 Design code for connecting to distribution network[S]. Beijing: State Grid Corporation of China, 2018.
[36] 王钢, 冯婧桐, 李杰. 含逆变型分布式电源和分支负荷的配电网自适应电流差动保护[J]. 电网技术, 2024, 48(6): 2593-2602.
Wang Gang, Feng Jingtong, Li Jie.Adaptive current differential protection for distribution networks with inverter-interfaced distributed generators and branch loads[J]. Power System Technology, 2024, 48(6): 2593-2602.
[37] 周成瀚. 有源配电网馈线保护与故障自愈技术研究[D]. 济南: 山东大学, 2020.
Zhou Chenghan.Research on feeder protection and fault self-healing technology of active distribution network[D]. Jinan: Shandong University, 2020. |
|
|
|
2025, Vol. 40 
