Optimal economic dispatching of multi‐microgrids by an improved genetic algorithm
Abstract A multi‐microgrid economic dispatching strategy based on adaptive mutation genetic algorithm is proposed for multi‐microgrid systems with different load types and power demands. Based on the analysis of industrial, residential and commercial loads, considering the synergy and complementarit...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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Wiley
2021-03-01
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Series: | IET Cyber-systems and Robotics |
Subjects: | |
Online Access: | https://doi.org/10.1049/csy2.12008 |
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author | Haoyu Jiang Shiyuan Ning Quanbo Ge Wang Yun JinQiang Xu Yu Bin |
author_facet | Haoyu Jiang Shiyuan Ning Quanbo Ge Wang Yun JinQiang Xu Yu Bin |
author_sort | Haoyu Jiang |
collection | DOAJ |
description | Abstract A multi‐microgrid economic dispatching strategy based on adaptive mutation genetic algorithm is proposed for multi‐microgrid systems with different load types and power demands. Based on the analysis of industrial, residential and commercial loads, considering the synergy and complementarity between multi‐microgrids, an optimal dispatching model of multi‐microgrids based on the minimum operation cost and environmental protection cost of multi‐microgrids is established from the point of view of environmental protection and economy. At the same time, an adaptive mutation genetic algorithm is proposed to optimize the system model and find the optimal economic dispatching scheme. |
first_indexed | 2024-04-13T16:02:33Z |
format | Article |
id | doaj.art-dc9e55c1522e487bb59af7507cf2fedc |
institution | Directory Open Access Journal |
issn | 2631-6315 |
language | English |
last_indexed | 2024-04-13T16:02:33Z |
publishDate | 2021-03-01 |
publisher | Wiley |
record_format | Article |
series | IET Cyber-systems and Robotics |
spelling | doaj.art-dc9e55c1522e487bb59af7507cf2fedc2022-12-22T02:40:30ZengWileyIET Cyber-systems and Robotics2631-63152021-03-0131687610.1049/csy2.12008Optimal economic dispatching of multi‐microgrids by an improved genetic algorithmHaoyu Jiang0Shiyuan Ning1Quanbo Ge2Wang Yun3JinQiang Xu4Yu Bin5School of Electronics and Information Engineering Guangdong Ocean University Guangdong ChinaSchool of Automation Hangzhou Dianzi University Hangzhou ChinaSchool of Electronics and Information Engineering Guangdong Ocean University Guangdong ChinaSchool of Logistics Engineering Shanghai Maritime University Shanghai ChinaSchool of Electronics and Information Engineering Guangdong Ocean University Guangdong ChinaSchool of Automation Hangzhou Dianzi University Hangzhou ChinaAbstract A multi‐microgrid economic dispatching strategy based on adaptive mutation genetic algorithm is proposed for multi‐microgrid systems with different load types and power demands. Based on the analysis of industrial, residential and commercial loads, considering the synergy and complementarity between multi‐microgrids, an optimal dispatching model of multi‐microgrids based on the minimum operation cost and environmental protection cost of multi‐microgrids is established from the point of view of environmental protection and economy. At the same time, an adaptive mutation genetic algorithm is proposed to optimize the system model and find the optimal economic dispatching scheme.https://doi.org/10.1049/csy2.12008distributed power generationgenetic algorithmspower generation dispatchpower generation economics |
spellingShingle | Haoyu Jiang Shiyuan Ning Quanbo Ge Wang Yun JinQiang Xu Yu Bin Optimal economic dispatching of multi‐microgrids by an improved genetic algorithm IET Cyber-systems and Robotics distributed power generation genetic algorithms power generation dispatch power generation economics |
title | Optimal economic dispatching of multi‐microgrids by an improved genetic algorithm |
title_full | Optimal economic dispatching of multi‐microgrids by an improved genetic algorithm |
title_fullStr | Optimal economic dispatching of multi‐microgrids by an improved genetic algorithm |
title_full_unstemmed | Optimal economic dispatching of multi‐microgrids by an improved genetic algorithm |
title_short | Optimal economic dispatching of multi‐microgrids by an improved genetic algorithm |
title_sort | optimal economic dispatching of multi microgrids by an improved genetic algorithm |
topic | distributed power generation genetic algorithms power generation dispatch power generation economics |
url | https://doi.org/10.1049/csy2.12008 |
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