Data-driven distributionally robust joint planning of distributed energy resources in active distribution network

With the increasing penetration of distributed energy resources (DERs) in the active distribution network (ADN), how to enable joint planning of DERs under the uncertainty of distributed generations (DGs) has become a challenging problem. This study establishes a two-stage joint planning model consi...

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Vydáno v:	IET generation, transmission & distribution Ročník 14; číslo 9; s. 1653 - 1662
Hlavní autoři:	Gao, Hongjun, Wang, Renjun, Liu, Youbo, Wang, Lingfeng, Xiang, Yingmeng, Liu, Junyong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 11.05.2020
Témata:	active distribution network ADN asynchronous generators constraint generation algorithm data‐driven distributionally robust joint planning DERs distributed energy resources distributed energy storage systems distributed generations distributed power generation distribution networks energy storage induction generator integer programming master problem mixed‐integer nonlinear planning problem nonlinear programming optimal planning decision power distribution planning probability Research Article second‐order cone programming problem sub‐problem framework two‐stage data‐driven distributionally robust planning model two‐stage joint planning model worst probability distribution nonlinear programming distribution networks integer programming power distribution planning distributed generations master problem distributed power generation ADN energy storage distributed energy storage systems worst probability distribution two-stage joint planning model active distribution network sub-problem framework probability distributed energy resources asynchronous generators constraint generation algorithm two-stage data-driven distributionally robust planning model second-order cone programming problem optimal planning decision induction generator DERs data-driven distributionally robust joint planning mixed-integer nonlinear planning problem
ISSN:	1751-8687, 1751-8695
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