基于遗传算法的配电网线损优化研究

2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE) Pub Date : 2022-04-22 DOI:10.1109/CEEPE55110.2022.9783383

Lingyi Li, Chunwei Wang, Yueming Li, Shujian Zhao, Xinya Wang, Siyu Han

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引用次数: 0

摘要

本文采用了一种人工智能算法——遗传算法。通过对遗传算法的改进，对配电网进行电网重构，寻求约束条件下的最优电网结构，最终使电网正常运行下的线损最小。达到降低线损，提高企业效率的效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research on Optimization of Line Loss of Distribution Network Based on Genetic Algorithm

In this paper, An artificial intelligence algorithm-genetic algorithm is adopted. Through the improvement of the genetic algorithm, the grid reconfiguration of the distribution network is carried out, and the optimal grid structure under the constraint conditions is sought, and finally the line loss is minimized under the normal operation of the grid. Achieve the effect of reducing line loss and increase corporate efficiency.

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来源期刊

2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)

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