Multi-time Scale Stochastic Optimization for Hybrid AC-DC Distribution Networks with PET Based on E-C-Kmeans Clustering

This paper addresses the uncertainty of distributed power supply in a hybrid AC-DC distribution network with multi-port Power Electronic Transformers (PET). A multi-time scale stochastic optimization model based on E-C-Kmeans clustering is proposed. First, the E-C-Kmeans clustering and reduction mod...

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Vydané v:	2025 4th International Conference on Smart Grid and Green Energy (ICSGGE) s. 223 - 226
Hlavní autori:	Sun, Yaobin, Liu, Shourui, Lu, Jiashuo, Du, Yonggang, Zheng, Huankun
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 28.02.2025
Predmet:	Clustering algorithms Costs Distribution networks E-C-Kmeans clustering algorithm Hybrid AC-DC distribution network Hybrid power systems Optimization models PET Power electronics Processor scheduling stochastic optimization Stochastic processes Transformers Uncertainty
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