Improved Multiobjective Genetic Algorithm for Partitioning Distributed Photovoltaic Clusters: Balancing Spatial Distance and Power Similarity

The prediction of power output from photovoltaic generation clusters is crucial for optimizing the dispatch of regional photovoltaic generation. Enhancing the accuracy of power prediction for photovoltaic power plant clusters requires the segmentation of distributed photovoltaic systems into cluster...

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Veröffentlicht in:	Journal of computing and information technology Jg. 32; H. 4; S. 251 - 264
Hauptverfasser:	Chen, Yansen, Cheng, Kai, Li, Zhuohuan, Pan, Shixian, Hu, Xudong
Format:	Journal Article Paper
Sprache:	Englisch
Veröffentlicht:	Sveuciliste U Zagrebu 01.12.2024 Sveučilište u Zagrebu Fakultet elektrotehnike i računarstva University of Zagreb Faculty of Electrical Engineering and Computing
Schlagworte:	Algorithms Analysis Artificial intelligence cluster partitioning Distributed generation (Electric power) distributed photovoltaic Genetic algorithms multi-objective genetic algorithm Photovoltaic power generation Solar energy Solar power plants China
ISSN:	1330-1136, 1846-3908
Online-Zugang:	Volltext
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