Paper
8 June 2024 Optimization method for rapid emergency recovery of power failure in distribution network based on multiagent algorithm
Jingsi Yang, Rong Yi, Yao Fu, Zhaojing Wang, Tongqing Li, Junxi Wang
Author Affiliations +
Proceedings Volume 13171, Third International Conference on Algorithms, Microchips, and Network Applications (AMNA 2024); 131711G (2024) https://doi.org/10.1117/12.3032011
Event: 3rd International Conference on Algorithms, Microchips and Network Applications (AMNA 2024), 2024, Jinan, China
Abstract
Power failure in distribution network affects the quality of people's daily electricity consumption, so it is of great practical significance to quickly locate the fault location and realize power supply recovery for improving the reliability and safety of power supply. Based on this, this paper proposes an optimization method for rapid emergency recovery of distribution network power failure based on multi-agent algorithm. In the single power supply mode, the switching function is designed, and the power failure location result of distribution network based on multi-agent algorithm is determined by analyzing the power generation efficiency function of equipment. Automatic data is used to optimize the rapid emergency recovery of power failure, and multi-agent algorithm is introduced into it to realize the optimization method of rapid emergency recovery of power failure in distribution network. The experimental results show that the precision, recall and F1 score of the research method are all above 95%, and the power generation effect of the equipment is high, which can restore the normal operation of the distribution network more quickly and effectively.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jingsi Yang, Rong Yi, Yao Fu, Zhaojing Wang, Tongqing Li, and Junxi Wang "Optimization method for rapid emergency recovery of power failure in distribution network based on multiagent algorithm", Proc. SPIE 13171, Third International Conference on Algorithms, Microchips, and Network Applications (AMNA 2024), 131711G (8 June 2024); https://doi.org/10.1117/12.3032011
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KEYWORDS
Mathematical optimization

Evolutionary algorithms

Power supplies

Failure analysis

Power grids

Switches

Computer simulations

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