Research on fault risk prediction method of distribution network based on situational awareness

Xin Tian; Xiu Ji; Dianwen Li

doi:10.1117/12.2671186

29 March 2023 Research on fault risk prediction method of distribution network based on situational awareness

Xin Tian, Xiu Ji, Dianwen Li

Proceedings Volume 12594, Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022); 125940C (2023) https://doi.org/10.1117/12.2671186
Event: Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022), 2022, Xi'an, China

Abstract

With the increasing demand for the distribution network reliability, distribution network failure risk prediction has become the key to further improve power distribution reliability. Aiming at the uncertainty and randomness of distribution network faults, a fault risk prediction method of distribution network based on situational awareness is proposed. Through situational awareness and situational understanding of distribution network fault data, the optimal subset of fault characteristics is obtained by excluding 12 feature variables with high redundancy and weak correlation; The three elements of situation awareness, situation understanding and situation prediction are mapped to the distribution network fault risk prediction, and a prediction model based on the PSO-SVM algorithm is constructed. Through the numerical example analysis, the effectiveness and accuracy of the proposed method are verified, which provides technical support for risk prevention and control of distribution network.

Citation Download Citation

Xin Tian, Xiu Ji, and Dianwen Li "Research on fault risk prediction method of distribution network based on situational awareness", Proc. SPIE 12594, Second International Conference on Electronic Information Engineering and Computer Communication (EIECC 2022), 125940C (29 March 2023); https://doi.org/10.1117/12.2671186

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