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.
Authors
- Juncheng Zhang (ORCID: https://orcid.org/0009-0007-3176-5697)
- Yigang Tao
- Min Li (ORCID: https://orcid.org/0000-0002-9366-2390)
- Jing Tan (ORCID: https://orcid.org/0000-0002-6699-3610)
- Chunli Zhou (ORCID: https://orcid.org/0000-0003-3501-8975)
Institutions
- Power Grid Corporation (India) (IN)
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