Electric Power ›› 2025, Vol. 58 ›› Issue (9): 68-78.DOI: 10.11930/j.issn.1004-9649.202502061
• Key Technologies for Enhancing the Grid Connection Safety Capability of New Energy and New Grid-Connected Entities • Previous Articles Next Articles
					
													TAO Jun1(
), ZHONG Ming1(
), ZHANG Yi2(
), LIU Feng1, WU Yuzhu1(
), XIA Zhenxing3(
)
												  
						
						
						
					
				
Received:2025-02-26
															
							
															
							
															
							
																	Online:2025-09-26
															
							
							
																	Published:2025-09-28
															
							
						Supported by:TAO Jun, ZHONG Ming, ZHANG Yi, LIU Feng, WU Yuzhu, XIA Zhenxing. Fault Location Method for Secondary System of Smart Substations Based on Network Flow Algorithm and Deep Neural Network[J]. Electric Power, 2025, 58(9): 68-78.
| 故障类型数 | 无故障 | 简单故障 | 复杂故障 | |||
| 0 | √ | × | × | |||
| 1 | × | √ | × | |||
| 2 | × | × | √ | |||
| 3 | × | × | √ | |||
| 4 | × | × | √ | 
Table 1 Existing fault classification standards
| 故障类型数 | 无故障 | 简单故障 | 复杂故障 | |||
| 0 | √ | × | × | |||
| 1 | × | √ | × | |||
| 2 | × | × | √ | |||
| 3 | × | × | √ | |||
| 4 | × | × | √ | 
| 故障类型数 | 特定故障信息 | 简单复杂类型 | ||
| 0 | 无故障 | |||
| 1 | 有 | 简单故障 | ||
| 无 | 复杂故障 | |||
| 2 | 有 | 伪复杂故障 | ||
| 无 | 复杂故障 | |||
| 3 | 有 | 伪复杂故障 | ||
| 无 | 复杂故障 | |||
| 4 | 有 | 伪复杂故障 | ||
| 无 | 复杂故障 | 
Table 2 Fault complexity classification standards
| 故障类型数 | 特定故障信息 | 简单复杂类型 | ||
| 0 | 无故障 | |||
| 1 | 有 | 简单故障 | ||
| 无 | 复杂故障 | |||
| 2 | 有 | 伪复杂故障 | ||
| 无 | 复杂故障 | |||
| 3 | 有 | 伪复杂故障 | ||
| 无 | 复杂故障 | |||
| 4 | 有 | 伪复杂故障 | ||
| 无 | 复杂故障 | 
| 编号 | 故障名称 | 故障特征信息 | ||
| 0 | 无故障 | 无故障 | ||
| 1 | 合并单元电源模块 故障  | 合并单元电源失电报警 | ||
| 2 | 合并单元GOOSE_A网网络风暴 | 合并单元GOOSE_A网网络风暴 | ||
| 3 | 合并单元I/O插件故障 | 保护SV/GOOSE总告警,保护SV/ GOOSE中断,保护闭锁,重合闸闭锁等  | ||
| 4 | 智能终端内存校验 出错  | 智能终端内存校验出错 | ||
| 5 | 智能终端BO1_ GOOSE_A网网络风暴  | 智能终端BO1_GOOSE_A网网络风暴 | ||
| 6 | 智能终端I/O插件故障 | 智能终端/保护GOOSE通信中断,智能终端/保护GOOSE总告警等 | ||
| 7 | 保护装置对时异常 | 保护装置对时异常 | ||
| 8 | 保护I/O插件故障 | 保护SV/GOOSE总告警,保护SV/GOOSE中断,保护闭锁,重合闸闭锁等 | ||
| 9 | 合并单元到保护装置链路故障 | 合并单元/保护SV/GOOSE总告警,合并单元/保护SV/GOOSE中断等 | ||
| 10 | 合并单元到SV网链路故障 | 合并单元SV/GOOSE总告警,合并单元SV/GOOSE中断等 | 
Table 3 Typical fault types and their characteristic information
| 编号 | 故障名称 | 故障特征信息 | ||
| 0 | 无故障 | 无故障 | ||
| 1 | 合并单元电源模块 故障  | 合并单元电源失电报警 | ||
| 2 | 合并单元GOOSE_A网网络风暴 | 合并单元GOOSE_A网网络风暴 | ||
| 3 | 合并单元I/O插件故障 | 保护SV/GOOSE总告警,保护SV/ GOOSE中断,保护闭锁,重合闸闭锁等  | ||
| 4 | 智能终端内存校验 出错  | 智能终端内存校验出错 | ||
| 5 | 智能终端BO1_ GOOSE_A网网络风暴  | 智能终端BO1_GOOSE_A网网络风暴 | ||
| 6 | 智能终端I/O插件故障 | 智能终端/保护GOOSE通信中断,智能终端/保护GOOSE总告警等 | ||
| 7 | 保护装置对时异常 | 保护装置对时异常 | ||
| 8 | 保护I/O插件故障 | 保护SV/GOOSE总告警,保护SV/GOOSE中断,保护闭锁,重合闸闭锁等 | ||
| 9 | 合并单元到保护装置链路故障 | 合并单元/保护SV/GOOSE总告警,合并单元/保护SV/GOOSE中断等 | ||
| 10 | 合并单元到SV网链路故障 | 合并单元SV/GOOSE总告警,合并单元SV/GOOSE中断等 | 
| 编号 | 故障名称 | 故障复杂度 | 二进制编码 | |||
| 0 | 无故障 | 无 | 00 0000 0000000 0000 | |||
| 1 | 合并单元电源模块故障 | 简单故障 | 01  | |||
| 2 | 合并单元GOOSE_A网网络风暴 | 伪复杂故障 | 10  | |||
| 3 | 合并单元I/O插件故障(合并单元到保护装置) | 复杂故障 | 11  | |||
| 4 | 智能终端内存校验出错 | 简单故障 | 01 0100 0101001 0100 | |||
| 5 | 智能终端BO1_GOOSE_A网网络风暴 | 伪复杂故障 | 10 0101 0101001 0101 | |||
| 6 | 智能终端I/O插件故障(智能终端到保护装置) | 复杂故障 | 11 0111 0101001 0110 | |||
| 7 | 保护装置对时异常 | 简单故障 | 01 0010 0100011 0111 | |||
| 8 | 保护I/O插件故障(智能终端到交换机) | 复杂故障 | 11 0011 0100011  | |||
| 9 | 合并单元到保护装置链路故障 | 复杂故障 | 11  | |||
| 10 | 合并单元到SV网链路故障 | 复杂故障 | 11  | 
Table 4 Fault complexity and its coding
| 编号 | 故障名称 | 故障复杂度 | 二进制编码 | |||
| 0 | 无故障 | 无 | 00 0000 0000000 0000 | |||
| 1 | 合并单元电源模块故障 | 简单故障 | 01  | |||
| 2 | 合并单元GOOSE_A网网络风暴 | 伪复杂故障 | 10  | |||
| 3 | 合并单元I/O插件故障(合并单元到保护装置) | 复杂故障 | 11  | |||
| 4 | 智能终端内存校验出错 | 简单故障 | 01 0100 0101001 0100 | |||
| 5 | 智能终端BO1_GOOSE_A网网络风暴 | 伪复杂故障 | 10 0101 0101001 0101 | |||
| 6 | 智能终端I/O插件故障(智能终端到保护装置) | 复杂故障 | 11 0111 0101001 0110 | |||
| 7 | 保护装置对时异常 | 简单故障 | 01 0010 0100011 0111 | |||
| 8 | 保护I/O插件故障(智能终端到交换机) | 复杂故障 | 11 0011 0100011  | |||
| 9 | 合并单元到保护装置链路故障 | 复杂故障 | 11  | |||
| 10 | 合并单元到SV网链路故障 | 复杂故障 | 11  | 
| 故障特征信息名称 | 所在矩阵列数 | |
| 合并单元电源失电报警 | 1 | |
| 合并单元GOOSE_A网网络风暴 | 2 | |
| 智能终端内存校验出错 | 3 | |
| 智能终端BO1_GOOSE_A网网络风暴 | 4 | |
| 保护装置对时异常 | 5 | 
Table 5 Equipment fault characteristic information matrix column vector
| 故障特征信息名称 | 所在矩阵列数 | |
| 合并单元电源失电报警 | 1 | |
| 合并单元GOOSE_A网网络风暴 | 2 | |
| 智能终端内存校验出错 | 3 | |
| 智能终端BO1_GOOSE_A网网络风暴 | 4 | |
| 保护装置对时异常 | 5 | 
| 故障特征信息名称 | 所在矩阵列数 | |
| 合并单元SV中断 | 6 | |
| 合并单元GOOSE中断 | 7 | |
| 合并单元SV总告警 | 8 | |
| 合并单元GOOSE总告警 | 9 | |
| 智能终端SV中断 | 10 | |
| 智能终端GOOSE中断 | 11 | |
| 智能终端SV总告警 | 12 | |
| 智能终端GOOSE总告警 | 13 | |
| 保护装置SV中断 | 14 | |
| 保护装置GOOSE中断 | 15 | |
| 保护装置SV总告警 | 16 | |
| 保护装置GOOSE总告警 | 17 | |
| 保护闭锁 | 18 | |
| 重合闸闭锁 | 19 | 
Table 6 Link fault characteristic information matrix vector
| 故障特征信息名称 | 所在矩阵列数 | |
| 合并单元SV中断 | 6 | |
| 合并单元GOOSE中断 | 7 | |
| 合并单元SV总告警 | 8 | |
| 合并单元GOOSE总告警 | 9 | |
| 智能终端SV中断 | 10 | |
| 智能终端GOOSE中断 | 11 | |
| 智能终端SV总告警 | 12 | |
| 智能终端GOOSE总告警 | 13 | |
| 保护装置SV中断 | 14 | |
| 保护装置GOOSE中断 | 15 | |
| 保护装置SV总告警 | 16 | |
| 保护装置GOOSE总告警 | 17 | |
| 保护闭锁 | 18 | |
| 重合闸闭锁 | 19 | 
| 模拟故障名称(位置) | 输出故障编码 | 判别结果 | ||
| 无故障 | 00 0000 0000000 0000 | 正确 | ||
| 合并单元模块故障(15号) | 01  | 正确 | ||
| 合并单元模块故障(17号) | 01  | 正确 | ||
| 合并单元GOOSE_A网网络 风暴(15号)  | 10  | 正确 | ||
| 合并单元I/O插件故障(15号合并 单元到3号保护装置)  | 11  | 正确 | ||
| 智能终端内存校验出错(16号) | 01 0100 0110000 0100 | 正确 | ||
| 智能终端BO1_GOOSE_A网 网络风暴(16号)  | 10 0101 0110000 0101 | 正确 | ||
| 智能终端I/O插件故障(16号智能 终端到3号保护装置)  | 11 0111 0110000 0110 | 正确 | ||
| 保护装置对时异常(3号) | 01 0010 0100011 0111 | 正确 | ||
| 保护I/O插件故障(3号保护装置 到2号交换机)  | 11 0011 0100011  | 正确 | ||
| 合并单元到保护装置链路故障(15号合并单元到3号保护装置的17号链路) | 11  | 正确 | ||
| 合并单元到SV网链路故障(15号合并单元到10号SV网的18号链路) | 11  | 正确 | 
Table 7 Partial simulated fault discrimination results
| 模拟故障名称(位置) | 输出故障编码 | 判别结果 | ||
| 无故障 | 00 0000 0000000 0000 | 正确 | ||
| 合并单元模块故障(15号) | 01  | 正确 | ||
| 合并单元模块故障(17号) | 01  | 正确 | ||
| 合并单元GOOSE_A网网络 风暴(15号)  | 10  | 正确 | ||
| 合并单元I/O插件故障(15号合并 单元到3号保护装置)  | 11  | 正确 | ||
| 智能终端内存校验出错(16号) | 01 0100 0110000 0100 | 正确 | ||
| 智能终端BO1_GOOSE_A网 网络风暴(16号)  | 10 0101 0110000 0101 | 正确 | ||
| 智能终端I/O插件故障(16号智能 终端到3号保护装置)  | 11 0111 0110000 0110 | 正确 | ||
| 保护装置对时异常(3号) | 01 0010 0100011 0111 | 正确 | ||
| 保护I/O插件故障(3号保护装置 到2号交换机)  | 11 0011 0100011  | 正确 | ||
| 合并单元到保护装置链路故障(15号合并单元到3号保护装置的17号链路) | 11  | 正确 | ||
| 合并单元到SV网链路故障(15号合并单元到10号SV网的18号链路) | 11  | 正确 | 
| 样本 | 网络流准 确率/%  | 网络流 用时/s  | 粒子群寻优 准确率/%  | 粒子群寻优 用时/s  | ||||
| 99.2 | 182 | 98.6 | 231 | |||||
| 97.5 | 222 | 96.9 | 259 | |||||
| 96.1 | 282 | 94.8 | 337 | |||||
| 97.3 | 321 | 95.6 | 382 | 
Table 8 Fault localization accuracy and time consumption of different models
| 样本 | 网络流准 确率/%  | 网络流 用时/s  | 粒子群寻优 准确率/%  | 粒子群寻优 用时/s  | ||||
| 99.2 | 182 | 98.6 | 231 | |||||
| 97.5 | 222 | 96.9 | 259 | |||||
| 96.1 | 282 | 94.8 | 337 | |||||
| 97.3 | 321 | 95.6 | 382 | 
| 1 | 曹海欧, 胡晓丽, 戴威, 等. 基于数据驱动的智能站虚回路自动生成与自主校验方法[J]. 中国电力, 2025, 58 (6): 97- 104. | 
| CAO Haiou, HU Xiaoli, DAI Wei, et al. A data-driven approach to automatic generation and autonomous verification of virtual circuits in intelligent substation[J]. Electric Power, 2025, 58 (6): 97- 104. | |
| 2 | 吕鹏飞, 裘愉涛, 金盛, 等. 面向智能变电站保护的FMM测试及改进SVM校验诊断技术[J]. 中国电力, 2025, 58 (6): 76- 82. | 
| LV Pengfei, QIU Yutao, JIN Sheng, et al. FMM testing and improved SVM diagnostic verification technology for intelligent substation protection[J]. Electric Power, 2025, 58 (6): 76- 82. | |
| 3 |  
											计荣荣, 王梦芝, 周国伟, 等. 基于云端优化的智能变电站二次系统快速测试建模与系统设计[J]. 中国电力, 2025, 58 (5): 152- 157. 
																							 DOI  | 
										
|  
											JI Rongrong, WANG Mengzhi, ZHOU Guowei, et al. Cloud-based optimized intelligent substation secondary system rapid test model and system design[J]. Electric Power, 2025, 58 (5): 152- 157. 
																							 DOI  | 
										|
| 4 |  
											王翔宇, 陈武晖, 郭小龙, 等. 发电系统数字化研究综述[J]. 发电技术, 2024, 45 (1): 120- 141. 
																							 DOI  | 
										
|  
											WANG Xiangyu, CHEN Wuhui, GUO Xiaolong, et al. Review of research on the digitalization of power generation system[J]. Power Generation Technology, 2024, 45 (1): 120- 141. 
																							 DOI  | 
										|
| 5 | 肖洋. 基于优化神经网络算法的智能站二次系统故障诊断方法研究[D]. 南京: 南京理工大学, 2022. | 
| XIAO Yang. Research on fault diagnosis method of intelligent station secondary system based on optimized neural network algorithm[D]. Nanjing: Nanjing University of Science and Technology, 2022. | |
| 6 | LIU S D, YU W G, CHENG J F, et al. Intelligent substation SCD file verification and differentiated display method for security control[C]//2024 China International Conference on Electricity Distribution (CICED). Hangzhou, China. IEEE, 2024: 830–834. | 
| 7 | XU P, DING X B, PENG Y, et al. Verification method of SCD file in smart substation based on improved k-nearest neighbor algorithm[C]//2021 International Conference on Power System Technology (POWERCON). Haikou, China. IEEE, 2021: 2428–2433. | 
| 8 | CUI Y G, ZHANG F, LIU H Y, et al. Research on secondary circuit identification technology and condition-based maintenance mode of intelligent substation[C]//2018 International Conference on Power System Technology (POWERCON). Guangzhou, China. IEEE, 2018: 3716–3722. | 
| 9 | NIU J, HE J N, LI L, et al. Study and application of the secondary circuit automatic detection technology of SCD files based on rule base[C]//2023 International Conference on Smart Electrical Grid and Renewable Energy (SEGRE). Changsha, China. IEEE, 2023: 167–174. | 
| 10 |  
											王文博, 刘绚, 林海, 等. 基于深度学习的电力工控流量应用层报文异常检测[J]. 电力系统自动化, 2023, 47 (11): 69- 76. 
																							 DOI  | 
										
|  
											WANG Wenbo, LIU Xuan, LIN Hai, et al. Deep learning based anomaly detection for application-layer message of power industrial control communication traffic[J]. Automation of Electric Power Systems, 2023, 47 (11): 69- 76. 
																							 DOI  | 
										|
| 11 |  
											张嘉誉, 章坚民, 杨才明, 等. 基于信息物理融合的智能变电站过程层网络异常流量检测[J]. 电力系统自动化, 2019, 43 (14): 173- 181. 
																							 DOI  | 
										
|  
											ZHANG Jiayu, ZHANG Jianmin, YANG Caiming, et al. Abnormal traffic detection on process layer network of smart substation based on cyber physical fusion[J]. Automation of Electric Power Systems, 2019, 43 (14): 173- 181. 
																							 DOI  | 
										|
| 12 |  
											杨挺, 侯昱丞, 赵黎媛, 等. 基于时-频域混合特征的变电站通信网异常流量检测方法[J]. 电力系统自动化, 2020, 44 (16): 79- 86. 
																							 DOI  | 
										
|  
											YANG Ting, HOU Yucheng, ZHAO Liyuan, et al. Abnormal traffic detection method of substation communication network based on time-frequency domain mixed features[J]. Automation of Electric Power Systems, 2020, 44 (16): 79- 86. 
																							 DOI  | 
										|
| 13 | YANG Q, HAO W J, GE L J, et al. FARIMA model-based communication traffic anomaly detection in intelligent electric power substations[J]. IET Cyber-Physical Systems: Theory & Applications, 2019, 4 (1): 22- 29. | 
| 14 | 姚致清, 陈光华, 王朋飞, 等. 合并单元直流偏置对母线保护的影响分析及解决方案[J]. 电力系统保护与控制, 2021, 49 (18): 167- 172. | 
| YAO Zhiqing, CHEN Guanghua, WANG Pengfei, et al. Analysis and solution for the influence of DC bias of a merging unit on bus protection[J]. Power System Protection and Control, 2021, 49 (18): 167- 172. | |
| 15 | 王达, 高林, 张爱平, 等. 基于调控云数据分析的二次故障智能诊断系统设计与应用[J]. 山东电力技术, 2023, 50 (9): 73- 80. | 
| WANG Da, GAO Lin, ZHANG Aiping, et al. Design and application of secondary failure intelligent diagnosis system based on dispatching and control cloud data analysis[J]. Shandong Electric Power, 2023, 50 (9): 73- 80. | |
| 16 |  
											金国锋, 杨世峰, 刘玲玲, 等. 基于二维混沌映射正余弦算法的智能变电站虚回路自动连接技术[J]. 中国电力, 2024, 57 (8): 152- 158. 
																							 DOI  | 
										
|  
											JIN Guofeng, YANG Shifeng, LIU Lingling, et al. Automatic connection of virtual circuits in smart substations based on chaotic two-dimensional mapping sine and cosine algorithm[J]. Electric Power, 2024, 57 (8): 152- 158. 
																							 DOI  | 
										|
| 17 | 朱智, 张永宏, 吕帅, 等. 基于数据通信建模技术的移动式智能变电站安措防误预警系统研究与应用[J]. 内蒙古电力技术, 2023, 41 (4): 54- 59. | 
| ZHU Zhi, ZHANG Yonghong, LYU Shuai, et al. Research and application on security precaution misoperation early warning system of mobile intelligent substation based on data communication modeling technology[J]. Inner Mongolia Electric Power, 2023, 41 (4): 54- 59. | |
| 18 | 计荣荣, 盛海华, 史建立, 等. 基于深度置信网络的智能变电站遥控障碍定位方法[J]. 浙江电力, 2024, 43 (10): 45- 52. | 
| JI Rongrong, SHENG Haihua, SHI Jianli, et al. A remote barrier localization method for intelligent substations using deep belief networks[J]. Zhejiang Electric Power, 2024, 43 (10): 45- 52. | |
| 19 |  
											皮志勇, 朱益, 廖玄, 等. 智能变电站多信息融合建模的通信链路故障定位方法[J]. 中国电力, 2023, 56 (8): 207- 215. 
																							 DOI  | 
										
|  
											PI Zhiyong, ZHU Yi, LIAO Xuan, et al. Fault location method for communication link with multi-information fusion modeling of smart substation[J]. Electric Power, 2023, 56 (8): 207- 215. 
																							 DOI  | 
										|
| 20 | 郑祥, 张鸿鹄, 魏岩岩. 基于改进SVM的变电站设备红外图像故障诊断方法研究[J]. 电测与仪表, 2024, 61 (12): 49- 55. | 
| ZHENG Xiang, ZHANG Honghu, WEI Yanyan. Research on infrared image fault diagnosis method for substation equipment based on improved SVM[J]. Electrical Measurement & Instrumentation, 2024, 61 (12): 49- 55. | |
| 21 |  
											李刚, 孟坤, 贺帅, 等. 考虑特征耦合的Bi-LSTM变压器故障诊断方法[J]. 中国电力, 2023, 56 (3): 100- 108, 117. 
																							 DOI  | 
										
|  
											LI Gang, MENG Kun, HE Shuai, et al. A Bi-LSTM-based transformer fault diagnosis method considering feature coupling[J]. Electric Power, 2023, 56 (3): 100- 108, 117. 
																							 DOI  | 
										|
| 22 | 王洪彬, 李智, 童晓阳, 等. 基于GRU的智能变电站二次设备故障定位研究[J]. 电测与仪表, 2025, 62 (7): 200- 208. | 
| WANG Hongbin, LI Zhi, TONG Xiaoyang, et al. Fault location of secondary equipment in smart substation based on GRU[J]. Electrical Measurement & Instrumentation, 2025, 62 (7): 200- 208. | |
| 23 | 刘学芳, 温欣, 李昂, 等. 一种面向DGA不平衡数据的变压器缺陷识别方法[J]. 内蒙古电力技术, 2024, 42 (6): 48- 55. | 
| LIU Xuefang, WEN Xin, LI Ang, et al. A transformer defect recognition method for DGA unbalanced data[J]. Inner Mongolia Electric Power, 2024, 42 (6): 48- 55. | |
| 24 | 祁炜雯, 张俊, 吴洋, 等. 基于改进BP-Bagging算法的光伏电站故障诊断方法[J]. 浙江电力, 2024, 43 (3): 65- 74. | 
| QI Weiwen, ZHANG Jun, WU Yang, et al. A fault diagnosis method for photovoltaic power plants based on an enhanced BP-Bagging algorithm[J]. Zhejiang Electric Power, 2024, 43 (3): 65- 74. | |
| 25 | 罗治强, 姚寅, 董时萌, 等. 基于图论网络流算法的新能源跨区域交易路径输电定价策略[J]. 电力系统保护与控制, 2021, 49 (23): 130- 136. | 
| LUO Zhiqiang, YAO Yin, DONG Shimeng, et al. Transmission cost allocation strategy of a renewable energy cross-regional transaction path based on a graph theory network flow algorithm[J]. Power System Protection and Control, 2021, 49 (23): 130- 136. | |
| 26 | 张锋, 张朔严, 乔利红, 等. 基于知识图谱的变电站配置文件智能校核技术研究[J]. 电测与仪表, 2024, 61 (4): 64- 72. | 
| ZHANG Feng, ZHANG Shuoyan, QIAO Lihong, et al. Research on intelligent verification technology of substation configuration files based on knowledge graph[J]. Electrical Measurement & Instrumentation, 2024, 61 (4): 64- 72. | |
| 27 | 杨东阳, 韩轶凡, 孙玉娥, 等. 利用深度学习的高速网络流基数估计算法[J]. 小型微型计算机系统, 2023, 44 (9): 2068- 2074. | 
| YANG Dongyang, HAN Yifan, SUN Yu-e, et al. High-speed network flow cardinality estimation algorithm using deep learning[J]. Journal of Chinese Computer Systems, 2023, 44 (9): 2068- 2074. | 
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