Coordinated planning method of load and storage interaction between source and network based on chaotic optimization algorithm

A distribution network collaborative optimization method is proposed based on an improved genetic algorithm and integrated source network load storage, aiming to improve power supply reliability and reduce total operating costs. Build a model set constraints, and solve it using a chaos optimization...

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Veröffentlicht in:Journal of physics. Conference series Jg. 3033; H. 1; S. 12033 - 12037
Hauptverfasser: Meng, Fanlin, Yan, Hui, Zhao, Chao
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bristol IOP Publishing 01.06.2025
Schlagworte:
Genetic algorithms
Optimization
ISSN:1742-6588, 1742-6596
Online-Zugang:Volltext
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Zusammenfassung:A distribution network collaborative optimization method is proposed based on an improved genetic algorithm and integrated source network load storage, aiming to improve power supply reliability and reduce total operating costs. Build a model set constraints, and solve it using a chaos optimization algorithm. The experiment shows that this method enables the fitness curve to converge quickly, accurately solves the objective function, and enhances the consumption capacity of the distribution network.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/3033/1/012033