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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Intelligent Information and Database Systems

ISSN

1751-5858

e-ISSN

—

Svazek periodika

17

Číslo periodika v rámci svazku

3-4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

21

Strana od-do

405-425

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-105011197655