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- Title
基于改进自适应免疫遗传算法的智能电网虚假数据攻 击检测方法.
- Authors
王新宇; 王相杰; 张明月; 程朋飞; 王书征
- Abstract
As a typical cyber-physical attack, false data are measured unchanged, thus deceiving the detection based on chi-square detector. To this end, a false data attack detection method for smart grid based on an improved adaptive immune genetic algorithm (AIGA) is proposed. First, a three-phase voltage measurement network model is established to analyze the hidden characteristics of the false data attack. Then, the similarity index between antibodies is utilized to establish an anomalous data detector to detect the intruding false data. In addition, the convergence speed and global optimization ability of the algorithm are improved by introducing the adaptive design of selection operators, crossover operators, and mutation operators, which improves the performance index of the attack detection. Finally, the detection rate and false detection rate of the proposed method for false data attack detection are analyzed through simulation experiments, and the results verify the effectiveness of the method.
- Subjects
GLOBAL optimization; ELECTRIC potential measurement; GENETIC algorithms; DETECTORS; IMMUNOGLOBULINS; DYSTROPHY
- Publication
Zhejiang Electric Power, 2023, Vol 42, Issue 10, p84
- ISSN
1007-1881
- Publication type
Article
- DOI
10.19585/j.zjdl.202310010