Title: Multi-modal and multi-objective joint optimal planning of medium voltage distribution system based on genetic algorithm

Authors: Yigang Tao; Jing Tan; Min Li; Juncheng Zhang; Chunli Zhou

Addresses: Power Grid Planning Research Center of Guangxi Power Grid Co. Ltd., Nanning 530023, Guangxi, China ' Power Grid Planning Research Center of Guangxi Power Grid Co. Ltd., Nanning 530023, Guangxi, China ' Power Grid Planning Research Center of Guangxi Power Grid Co. Ltd., Nanning 530023, Guangxi, China ' Power Grid Planning Research Center of Guangxi Power Grid Co. Ltd., Nanning 530023, Guangxi, China ' Guangxi Power Grid Co. Ltd., Nanning 530023, Guangxi, China

Abstract: In order to understand the multi-objective joint optimisation planning problem of medium voltage distribution systems, research on multi-objective joint optimisation planning of medium voltage distribution systems based on genetic algorithm is proposed. This article first focuses on the problem of uneven equipment utilisation efficiency in medium and low-voltage distribution networks and studies the coordination and coordination between medium-voltage lines and connected distribution transformers. Secondly, based on the electricity consumption characteristics of the user industry, a method for estimating the maximum load of distribution transformers based on industry demand coefficients is studied. Finally, a certain actual power grid is selected as an example for verification. The experimental results show that the coordination planning method proposed in this article can effectively guide the reasonable configuration of medium voltage lines and connected transformers, and provide a scientific method for designing user access planning schemes.

Keywords: medium voltage distribution; multi-objective collaboration; genetic algorithm; GA.

DOI: 10.1504/IJIIDS.2025.147421

International Journal of Intelligent Information and Database Systems, 2025 Vol.17 No.3/4, pp.405 - 425

Received: 02 Apr 2024
Accepted: 29 Jul 2024
Published online: 15 Jul 2025 *

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