Fault Diagnosis Method for Operational Security Control System Based on Digital Twins

doi:10.11930/j.issn.1004-9649.202306047

Abstract

Abstract:

The digital twin technology aims to break through the boundary between virtual and real, achieve organic integration of physical entities and virtual space through virtual real information links, and simulate the real-time state of physical entities. The security and stability control system (security control system) is the second line of defense to ensure the safe and stable operation of the power grid. If it refuses to act or malfunction due to a fault, it will cause serious harm to the operation of the power grid. Therefore, this paper proposes a fault diagnosis method for operational security control system based on digital twins. By analyzing the general operation strategies and possible failure links of the security control system, the digital twin system of the security control system is proposed. And a fault diagnosis model for security control system based on MPA-SVM is established. Finally, the validity and correctness of the proposed method is verified by using the operational data of the security control system to construct the sample datasets.

Key words: security control system, digital twin, fault diagnosis, support vector machine, marine predator algorithm

Wei HAN, Wenyan DUAN, Xingwei DU, Feng YAO, Weidong MA, Lei LIU. Fault Diagnosis Method for Operational Security Control System Based on Digital Twins[J]. Electric Power, 2023, 56(11): 121-127.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202306047

https://www.electricpower.com.cn/EN/Y2023/V56/I11/121

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References 25

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故障类型	类型标签	训练样本数	测试样本数
正常	1	32	10
控制策略不匹配	2	46	15
通信异常	3	36	10
采样异常	4	33	10
定值越限	5	36	12

故障类型	类型标签	训练样本数	测试样本数
正常	1	32	10
控制策略不匹配	2	46	15
通信异常	3	36	10
采样异常	4	33	10
定值越限	5	36	12

样本号	逻辑值	误码率/10^–8	方差/%	安全裕度	故障类型
1	0	0.173	3.23	1.012	1
2	0	0.325	1.52	1.006	1
3	1	0.216	2.18	0.992	2
4	1	0.154	1.75	1.027	2
5	0	1.523	2.61	1.135	3
6	0	0.245	6.94	1.037	4
7	0	0.312	3.17	1.722	5

样本号	逻辑值	误码率/10^–8	方差/%	安全裕度	故障类型
1	0	0.173	3.23	1.012	1
2	0	0.325	1.52	1.006	1
3	1	0.216	2.18	0.992	2
4	1	0.154	1.75	1.027	2
5	0	1.523	2.61	1.135	3
6	0	0.245	6.94	1.037	4
7	0	0.312	3.17	1.722	5

故障诊断模型	准确率/%
故障诊断模型	类型1	类型2	类型3	类型4	类型5	综合
PSO-SVM	100	100	100	90	88.33	94.74
ABC-SVM	100	100	100	90	75.00	92.98
SSA-SVM	100	100	100	100	88.33	96.49
MPA-SVM	100	100	100	100	91.67	98.24