Distribution network path planning method and system based on artificial intelligence optimization algorithm

Planning the most efficient, cost-effective, and reliable pathways for transmitting electricity from electrical substations to consumers is known as distribution network path planning. It’s not an easy task, but it’s necessary to meet the changing needs of the load and include renewable energy sourc...

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Veröffentlicht in:	Discover applied sciences Jg. 7; H. 10; S. 1074 - 18
Hauptverfasser:	Jiang, Shaoyan, Zheng, Jiaxin, Du, Lifeng, Su, Shaoying, Tan, Hanming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 26.09.2025 Springer Nature B.V Springer
Schlagworte:	Accuracy Algorithms Alternative energy Applied and Technical Physics Artificial intelligence Chemistry/Food Science DDPG model Deep learning Disaster relief Distribution centers Distribution network Earth Sciences Efficiency Electric cables Electrical transmission Electricity Electricity distribution Energy storage Engineering Environment Genetic algorithms Integer programming Learning Machine learning Materials Science Neural networks Optimization Optimization algorithm Optimization techniques Path planning Power cables Reinforcement Renewable energy sources Renewable resources Route optimization Route planning Substations Training Training level Optimization algorithm Path planning Distribution network Artificial intelligence DDPG model
ISSN:	3004-9261, 2523-3963, 3004-9261, 2523-3971
Online-Zugang:	Volltext
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