Research on Fault Risk Level Prediction Method for Distribution Grid Based on Improved Particle Swarm Algorithm

With the rising proportion of distributed power access systems, the structure of the whole distribution system is becoming more and more complex, and the uncertainty and instability of the whole distribution network are increasing. An adaptive simulated annealing particle swarm algorithm for the dis...

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Bibliographic Details
Published in2023 China Automation Congress (CAC) pp. 5501 - 5506
Main Authors Guo, Zhongqi, Ji, Xiu, Li, Meiyue, Han, Huanhuan
Format Conference Proceeding
LanguageEnglish
Published IEEE 17.11.2023
Subjects
ADN
Classification algorithms
Distribution networks
Particle swarm optimization
Prediction algorithms
Prediction methods
PSO
Risk forecasting
Simulated annealing
Uncertainty
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Summary:With the rising proportion of distributed power access systems, the structure of the whole distribution system is becoming more and more complex, and the uncertainty and instability of the whole distribution network are increasing. An adaptive simulated annealing particle swarm algorithm for the distribution network risk level prediction method is proposed for the instability and randomness caused by distributed power access. First of all, according to the grid information management system to get the distribution network risk data, the data obtained for processing the classification level, etc., according to the relevant data for risk prediction, the accuracy rate of 97.3775% to prove that the algorithm proposed in this paper is effective. By comparing the prediction results with the other two improved algorithms, it is further verified that the algorithm in this paper meets the actual risk prediction needs and can provide reliable technical support for the safe operation of distribution networks.
ISSN:2688-0938
DOI:10.1109/CAC59555.2023.10450449