Multi-modal and multi-objective joint optimal planning of medium voltage distribution system based on genetic algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3A3U5STRID" target="_blank" >RIV/00216208:11320/26:3U5STRID - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1504/IJIIDS.2025.147421" target="_blank" >http://dx.doi.org/10.1504/IJIIDS.2025.147421</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1504/IJIIDS.2025.147421" target="_blank" >10.1504/IJIIDS.2025.147421</a>
Alternative languages
Result language
angličtina
Original language name
Multi-modal and multi-objective joint optimal planning of medium voltage distribution system based on genetic algorithm
Original language description
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. Copyright © 2025 Inderscience Enterprises Ltd.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Intelligent Information and Database Systems
ISSN
1751-5858
e-ISSN
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Volume of the periodical
17
Issue of the periodical within the volume
3-4
Country of publishing house
US - UNITED STATES
Number of pages
21
Pages from-to
405-425
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105011197655