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

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

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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基于遗传算法的配电网线损优化研究
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。
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