Multi-objective active distribution networks expansion planning by scenario-based stochastic programming considering uncertain and random weight of network

•The uncertain random network theory is originally applied in the ADN planning model.•A modified scenario-generation procedure is proposed to describe uncertainty sources.•A numerical second-order cone programming is applied to solve the MINLP model.•A novel 3-dimensional uncertain space is built to...

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Veröffentlicht in:	Applied energy Jg. 219; S. 207 - 225
Hauptverfasser:	Xie, Shiwei, Hu, Zhijian, Zhou, Daming, Li, Yan, Kong, Shunfei, Lin, Weiwei, Zheng, Yunfei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2018
Schlagworte:	Active distribution network energy Energy management Minimum spanning tree Multi-objective planning planning Stochastic programming Uncertain random network uncertainty Active distribution network Uncertain random network Energy management Multi-objective planning Minimum spanning tree Stochastic programming
ISSN:	0306-2619, 1872-9118
Online-Zugang:	Volltext
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