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

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.

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Publication Details

Journal
International Journal of Intelligent Information and Database Systems
Published
2025-01-01
DOI
https://doi.org/10.1504/ijiids.2025.147421
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Juncheng Zhang, Yigang Tao, Min Li, Jing Tan et al.
International Journal of Intelligent Information and Database Systems
Power Systems and Technologies
article

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

Juncheng Zhang, Yigang Tao, Min Li, Jing Tan, Chunli Zhou
article en

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.

International Journal of Intelligent Information and Database SystemsVol. 17(3/4)
Power Grid Corporation (India) (IN)
Openalex Percentile: Top 84%
Power Systems and Technologies
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Multi-modal and multi-objective joint optimal planning of medium voltage distribution system based on genetic algorithm — Juncheng Zhang, Yigang Tao, et al. · International Journal of Intelligent Information and Database Systems (2025) | TGRS Research Map | TGRS