Multi-objective Particle Swarm Optimization Algorithm for Feeder Capacity Planning of Distribution Network Considering Dynamic Load

The optimization proportion of distribution network feeder capacity cannot reach the expected standard, so this paper proposes a multi-objective Particle swarm optimization algorithm for distribution network feeder capacity considering dynamic load. The multi-objective method is used to expand the p...

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Bibliographic Details
Published in2023 3rd International Conference on New Energy and Power Engineering (ICNEPE) pp. 773 - 776
Main Authors Yin, Xiang, Liu, Jian, Cheng, Shi, Zang, Siqi
Format Conference Proceeding
LanguageEnglish
Published IEEE 24.11.2023
Subjects
Adaptive systems
Capacity planning
Counting and dynamic load
Distribution network
Distribution networks
Feeder capacity
Heuristic algorithms
Multi-objective particle swarm
Optimization planning
Particle swarm optimization
Planning
Planning algorithm
Regulation
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DOI10.1109/ICNEPE60694.2023.10429172

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Summary:The optimization proportion of distribution network feeder capacity cannot reach the expected standard, so this paper proposes a multi-objective Particle swarm optimization algorithm for distribution network feeder capacity considering dynamic load. The multi-objective method is used to expand the planning scope, the multi-objective Particle swarm optimization feeder capacity planning matrix is set, and the feeder capacity optimization planning calculation model under dynamic load is designed. The experimental results show that the final optimization rate of the feeder capacity in the distribution network can reach over 5, indicating that the designed directional planning algorithm has high measurement accuracy, strong pertinence, and controllable error under dynamic load conditions and has practical application value.
DOI:10.1109/ICNEPE60694.2023.10429172