Reliability assessment and optimal operational sequence strategy allocation for next-generation smart substation secondary system safety operations based on fuzzy synthetic evaluation

doi:10.11930/j.issn.1004-9649.202506012

Abstract

Abstract:

Current solutions lack comprehensive reliability assessment for secondary safety measures in next-generation smart substations, particularly regarding operational sequence strategy. This paper addresses this by, first, building an secondary safety measures linkage matrix and using fuzzy synthetic evaluation (FSE) to quantify and integrate multi-dimensional reliability data (execution & isolation verification) into a single metric; second, quantifying secondary safety measures operation reliability and complexity. An improved greedy algorithm, weighting these factors, then calculates a comprehensive score for each linkage's disconnection method. Secondary safety measures execution sequences are prioritized based on these scores. Case verification shows that under identical maintenance conditions, the optimal secondary safety measures strategy can reduce link disconnection failures by 20% compared to typical secondary safety measures strategies, demonstrating higher reliability.

Key words: secondary safety measures, reliability assessment, optimal operational sequence strategy

YE Yuanbo, SHAO Qingzhu, SUN Zhenxing, ZHOU Peng, SUN Hongyi, WANG Yibo. Reliability assessment and optimal operational sequence strategy allocation for next-generation smart substation secondary system safety operations based on fuzzy synthetic evaluation[J]. Electric Power, 2026, 59(2): 154-162.

Add to citation manager EndNote|Ris|BibTeX

URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202506012

https://www.electricpower.com.cn/EN/Y2026/V59/I2/154

Figures/Tables 7

References 32

1	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.
2	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.
	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.
3	郑翔, 杜奇伟, 阮黎翔, 等. 基于WOA-SVM的智能变电站二次系统故障参数映射模型[J]. 浙江电力, 2024, 43 (1): 36- 44.
	ZHENG Xiang, DU Qiwei, RUAN Lixiang, et al. A WOA-based fault parameter mapping model for the secondary systems of intelli-gent substations[J]. Zhejiang Electric Power, 2024, 43 (1): 36- 44.
4	李伟, 白杨, 祁步仁, 等. 面向智能变电站的时间敏感网络动态时间窗口划分方法[J]. 山东电力技术, 2025, 52 (6): 75- 85, 94.
	LI Wei, BAI Yang, QI Buren, et al. Dynamic time window division of time-sensitive networking in intelligent substation[J]. Shandong Electric Power, 2025, 52 (6): 75- 85, 94.
5	闫宇露, 程瑜, 陈熙. 适应光伏高渗透接入的配电网拓扑及储荷资源协同规划[J]. 广东电力, 2024, 37 (12): 50- 60.
	YAN Yulu, CHENG Yu, CHEN Xi. Distribution network topology and coordinated planning of storage and load resources adapted to photovoltaic high penetration access[J]. Guangdong Electric Power, 2024, 37 (12): 50- 60.
6	成佳富, 罗振华, 廖惠琴, 等. 基于深度学习和图像识别的变电站虚端子连接校核技术[J]. 广东电力, 2024, 37 (2): 73- 79.
	CHENG Jiafu, LUO Zhenhua, LIAO Huiqin, et al. Verification technology for virtual terminal connection based on deep learning and attention image recognition[J]. Guangdong Electric Power, 2024, 37 (2): 73- 79.
7	王浩成, 宋厚营, 于佳. 新型电力系统终端通信网优化方案研究[J]. 山东电力技术, 2024, 51 (2): 56- 66.
	WANG Haocheng, SONG Houying, YU Jia. Research on optimization scheme for new power system terminal communication network[J]. Shandong Electric Power, 2024, 51 (2): 56- 66.
8	汪凤月, 罗敏, 杨文丽, 等. 基于知识图谱智能变电站二次安措票生成研究[J]. 电测与仪表, 2020, 57 (4): 66- 70.
	WANG Fengyue, LUO Min, YANG Wenli, et al. Research on the generation of secondary security ticketing of intelligent substation based on knowledge map expert database[J]. Electrical Measurement & Instrumentation, 2020, 57 (4): 66- 70.
9	赵武智, 樊国盛, 邬小坤, 等. 基于自学习技术的变电站二次安措票生成技术研究与应用[J]. 电测与仪表, 2024, 61 (9): 151- 157.
	ZHAO Wuzhi, FAN Guosheng, WU Xiaokun, et al. Research and application of secondary security ticket generation technology in substation based on self-learning technology[J]. Electrical Measurement & Instrumentation, 2024, 61 (9): 151- 157.
10	陈海滨, 谭畅, 张宾宾, 等. 应用于智能变电站二次检修的一键式安措系统设计[J]. 电力系统保护与控制, 2021, 49 (9): 172- 177.
	CHEN Haibin, TAN Chang, ZHANG Binbin, et al. Design of a one-click safety measure system for secondary maintenance of an intelligent substation[J]. Power System Protection and Control, 2021, 49 (9): 172- 177.
11	赵子涵, 刘鑫, 叶翔, 等. 智能变电站二次系统“一键式”安措自动生成方法研究[J]. 电测与仪表, 2019, 56 (4): 15- 20.
	ZHAO Zihan, LIU Xin, YE Xiang, et al. Research on “one-click” automatic generation method for maintenance safety measures of secondary device in smart substation[J]. Electrical Measurement & Instrumentation, 2019, 56 (4): 15- 20.
12	刘孝刚, 施琳, 张帆, 等. 智能变电站二次安措策略自动生成和在线校核技术[J]. 电力系统保护与控制, 2017, 45 (23): 82- 89.
	LIU Xiaogang, SHI Lin, ZHANG Fan, et al. Automatic generation and online checking technology for secondary safety measures of smart substation[J]. Power System Protection and Control, 2017, 45 (23): 82- 89.
13	范卫东, 董金星, 冯晓伟, 等. 智能变电站二次操作校核方法研究[J]. 电测与仪表, 2020, 57 (13): 40- 46, 54.
	FAN Weidong, DONG Jinxing, FENG Xiaowei, et al. Research on checking method of secondary operation in smart substation[J]. Electrical Measurement & Instrumentation, 2020, 57 (13): 40- 46, 54.
14	张旭升, 李江林, 赵国喜. 智能变电站二次安措防误系统研究与应用[J]. 电力系统保护与控制, 2017, 45 (11): 141- 146.
	ZHANG Xusheng, LI Jianglin, ZHAO Guoxi. Research and application of the anti-misoperation system for the intelligent station secondary equipment security measures[J]. Power System Protection and Control, 2017, 45 (11): 141- 146.
15	丁宏成, 袁志, 梁彪, 等. 基于在线监测与诊断的智能变电站二次安措技术[J]. 电工技术, 2019 (23): 48- 50, 85.
	DING Hongcheng, YUAN Zhi, LIANG Biao, et al. Safety control technology of secondary equipment in smart substation based on on-line monitoring and diagnosis technology[J]. Electric Engineering, 2019 (23): 48- 50, 85.
16	杨嘉, 刘可, 王轩, 等. 智能变电站二次安措及管控技术的研究与应用[J]. 电测与仪表, 2020, 57 (13): 104- 111.
	YANG Jia, LIU Ke, WANG Xuan, et al. Research and application of secondary safety measures and its management and control of smart substation[J]. Electrical Measurement & Instrumentation, 2020, 57 (13): 104- 111.
17	张海洋, 吕飞鹏, 王永福, 等. 智能变电站二次安措可靠性分析与优化[J]. 电网技术, 2021, 45 (4): 1566- 1573.
	ZHANG Haiyang, LV Feipeng, WANG Yongfu, et al. Reliability analysis and optimization of secondary safety measures for smart substations[J]. Power System Technology, 2021, 45 (4): 1566- 1573.
18	唐波, 李耀伟, 叶莉, 等. 基于模糊综合评价法的输电线路山火遥感甄别算法[J]. 中国电力, 2019, 52 (11): 60- 67.
	TANG Bo, LI Yaowei, YE Li, et al. Remote sensing discrimination algorithm for transmission line forest fire based on fuzzy comprehensive evaluation method[J]. Electric Power, 2019, 52 (11): 60- 67.
19	LIU S F, FORREST J, YANG Y J. A brief introduction to grey systems theory[J]. Grey Systems: Theory and Application, 2012, 2 (2): 89- 104.
20	WU J P, LI P P, GUO L Y, et al. Fuzzy comprehensive evaluation of hydroviscous drive performance degradation based on improved game theory combination weighting[J]. IEEE Sensors Journal, 2024, 24 (15): 23575- 23584.
21	ZHANG W P, LI B, LIU Z J, et al. Application of improved fuzzy comprehensive evaluation method in karst groundwater quality evaluation: a case study of Cengong county[J]. Earth Science Informatics, 2021, 14 (2): 1101- 1109.
22	ALI Z M, ALQUTHAMI T, ALKHALAF S, et al. Novel hybrid improved bat algorithm and fuzzy system based MPPT for photovoltaic under variable atmospheric conditions[J]. Sustainable Energy Technologies and Assessments, 2022, 52, 102156.
23	欧阳武, 程启超, 金勇, 等. 基于熵权模糊综合评价法的水润滑尾轴承性能评估[J]. 中国机械工程, 2020, 31 (12): 1407- 1414.
	OUYANG Wu, CHENG Qichao, JIN Yong, et al. Performance evaluation of water lubricated stern bearings based on entropy weight fuzzy comprehensive evaluation method[J]. China Mechanical Engineering, 2020, 31 (12): 1407- 1414.
24	苏国强, 刘合金, 张林利, 等. 基于模糊评价法的电缆主动检修新策略[J]. 电网与清洁能源, 2024, 40 (11): 54- 63.
	SU Guoqiang, LIU Hejin, ZHANG Linli, et al. Research and application of the new strategy of proactive cable maintenance based on fuzzy evaluation[J]. Power System and Clean Energy, 2024, 40 (11): 54- 63.
25	何轩, 潘全科, 高亮. 基于问题特征知识的迭代贪心算法求解多目标零等待流水车间调度问题[J]. 机械工程学报, 2025, 61 (4): 344- 354.
	HE Xuan, PAN Quanke, GAO Liang. Iterated greedy algorithm with problem-specific knowledge for multi-objective No-wait flowshop scheduling problem[J]. Journal of Mechanical Engineering, 2025, 61 (4): 344- 354.
26	张海洋. 智能变电站二次安措自动生成及优化[D]. 成都: 四川大学, 2021.
	ZHANG Haiyang . Automatic generation and optimization of secondary safety measures in smart substation[D]. Chengdu: Sichuan University, 2021.
27	毛万登, 刘善峰, 张琦, 等. 基于渐进式特征优化与融合策略的变电站设备缺陷检测[J]. 浙江电力, 2025, 44 (8): 119- 127.
	MAO Wandeng, LIU Shanfeng, ZHANG Qi, et al. Substation equipment defect detection based on progressive feature optimization and fusion strategy[J]. Zhejiang Electric Power, 2025, 44 (8): 119- 127.
28	叶远波, 王吉文, 王贺, 等. 考虑高比例新能源接入的变电站备自投方案改进[J]. 浙江电力, 2025, 44 (2): 75- 83.
	YE Yuanbo, WANG Jiwen, WANG He, et al. Improvement of an ATS scheme for substations considering high new energy penetration[J]. Zhejiang Electric Power, 2025, 44 (2): 75- 83.
29	阳斌, 甄家林, 刘玮, 等. 基于COA算法优化大数据传输PDU及TPDU参数的保信主站通信方式[J]. 中国电力, 2025, 58 (6): 83- 89.
	YANG Bin, ZHEN Jialin, LIU Wei, et al. The communication mode of the master station based on COA algorithm to optimize PDU and TPDU parameters of large data transmission[J]. Electric Power, 2025, 58 (6): 83- 89.
30	王雷, 楚明月, 王晓华, 等. 基于随机森林的智能变电站一次侧设备运行状态监测方法研究[J]. 电测与仪表, 2024, 61 (7): 184- 190.
	WANG Lei, CHU Mingyue, WANG Xiaohua, et al. Research on monitoring method of primary equipment operation state in intelligent substation based on random forest[J]. Electrical Measurement & Instrumentation, 2024, 61 (7): 184- 190.
31	叶远波, 王吉文, 孙振兴, 等. 分区协同下适应新一代智能变电站的通信链路故障定位方法[J]. 中国电力, 2025, 58 (9): 79- 87.
	YE Yuanbo, WANG Jiwen, SUN Zhenxing, et al. Communication link fault localization method adapted to new smart substations under partition collaboration[J]. Electric Power, 2025, 58 (9): 79- 87.
32	陶军, 钟鸣, 张艺, 等. 基于网络流算法和深度神经网络的智能变电站二次系统故障定位方法[J]. 中国电力, 2025, 58 (9): 68- 78.
	TAO Jun, ZHONG Ming, ZHANG Yi, et al. 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.

隔离方式	策略可靠性	误动率	拒动率
退出GOOSE接收软压板	0.997	0.002	0.001
退出SV软压板	0.997	0.002	0.001
退出GOOSE发送软压板	0.997	0.003	0.001
投入检修压板	0.996	0.003	0.002
退出出口硬压板	0.998	0.002	0.001
断开光纤	0.999	0.002	0.001
退出保护功能压板	0.998	0.002	0.001

隔离方式	策略可靠性	误动率	拒动率
退出GOOSE接收软压板	0.997	0.002	0.001
退出SV软压板	0.997	0.002	0.001
退出GOOSE发送软压板	0.997	0.003	0.001
投入检修压板	0.996	0.003	0.002
退出出口硬压板	0.998	0.002	0.001
断开光纤	0.999	0.002	0.001
退出保护功能压板	0.998	0.002	0.001

隔离方式	综合评估后的可靠性
投入检修压板	低可靠性
退出GOOSE发送软压板	较低可靠性
退出GOOSE接收软压板	中等可靠性
退出SV软压板	中等可靠性
退出出口硬压板	较高可靠性
退出保护功能压板	较高可靠性
断开光纤	高可靠性

隔离方式	综合评估后的可靠性
投入检修压板	低可靠性
退出GOOSE发送软压板	较低可靠性
退出GOOSE接收软压板	中等可靠性
退出SV软压板	中等可靠性
退出出口硬压板	较高可靠性
退出保护功能压板	较高可靠性
断开光纤	高可靠性

操作对象	复杂度权重
GOOSE接收/发送软压板、SV软压板、保护功能压板	1
检修压板、出口硬压板	2
光纤	3