Optimal location-allocation of storage devices and renewable-based DG in distribution systems

•Proposing Stochastic multi-stage model for distribution system planning.•Applying scenario reduction from historical data by using k-means.•Using convex relaxation to ease simultaneous allocation of RES and storage devices. This paper proposes a mixed integer conic programming (MICP) model to find...

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Veröffentlicht in:	Electric power systems research Jg. 172; S. 11 - 21
Hauptverfasser:	Home-Ortiz, Juan M., Pourakbari-Kasmaei, Mahdi, Lehtonen, Matti, Sanches Mantovani, José Roberto
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.07.2019 Elsevier Science Ltd
Schlagworte:	Alternative energy Cluster analysis Clustering Conic programming Convexity Decision making Distributed generation Energy storage Gas turbines Mixed integer Multistage distribution system planning Radial distribution Renewable energy sources Sensitivity analysis Stochastic programming Turbines Uncertainty Vector quantization Wind power Wind turbines Renewable energy sources Distributed generation Multistage distribution system planning Conic programming Energy storage Stochastic programming
ISSN:	0378-7796, 1873-2046
Online-Zugang:	Volltext
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