RESEARCH ON ATTACK DETECTION METHOD OF DISTRIBUTION NETWORK CONSIDERING HIGH PROPORTION OF DISTRIBUTED GENERATION ACCESS

Wang Shunjiang; Wei Rongpeng; Zhao Bin; Li Yi; Han Yaopeng; Yu Peng

doi:10.19912/j.0254-0096.tynxb.2024-1094

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (10) : 509-515. DOI: 10.19912/j.0254-0096.tynxb.2024-1094

RESEARCH ON ATTACK DETECTION METHOD OF DISTRIBUTION NETWORK CONSIDERING HIGH PROPORTION OF DISTRIBUTED GENERATION ACCESS

Wang Shunjiang^1,2, Wei Rongpeng¹, Zhao Bin³, Li Yi³, Han Yaopeng³, Yu Peng²

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Abstract

Consequently, a distribution network false data injection attack detection method based on attention mechanism and bidirectional long short-term memory network is proposed. Initially, the measurement data gathered by power system is broken down through variational mode decomposition, introducing the idea of signal energy to identify the most suitable mode number for variational mode decomposition. Subsequently, a small disturbance attack vector is constructed. Reconstruction of the measurement data using the Pearson correlation coefficient to filter out the high-frequency noise in the measurement data. Ultimately, a bidirectional long short-term memory network detection model based on the attention mechanism is designed. The reconstructed time series measurement data and attack vector are used as training set input and verified using the test set. The proposed method is verified by comparative experiments. The results show that this method can effectively improve the detection accuracy of false data injection attacks in distribution networks. This helps enhance the ability of the distribution network to resist attacks and ensures the safe operation of the power system.

Key words

active distribution network / attack detection / false data injection / bidirectional long short-term memory / power system security

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Wang Shunjiang, Wei Rongpeng, Zhao Bin, Li Yi, Han Yaopeng, Yu Peng. RESEARCH ON ATTACK DETECTION METHOD OF DISTRIBUTION NETWORK CONSIDERING HIGH PROPORTION OF DISTRIBUTED GENERATION ACCESS[J]. Acta Energiae Solaris Sinica. 2025, 46(10): 509-515 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1094

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