Multi-modal and multi-objective joint optimal planning of medium voltage distribution system based on genetic algorithm
Year: 2025
Type: article
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.
Authors: Yigang Tao, Jing Tan, Min Li, Juncheng Zhang, Chunli Zhou
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4412601902