09-03-2017 дата публикации
Номер: US20170070044A1
Принадлежит:
The present disclosure provides a robust restoration method for an active distribution network, which can be used under uncertain environment. For uncertain factors in the power restoration, the robust restoration method creates polyhedral uncertainty sets of the load demands and the distribution generation outputs and presents a two-stage robust restoration optimization model to obtain switching decisions under the worst-case fluctuation scenarios, thereby maximizing the restored power, while satisfying constraints and uncertainty budget. The robust restoration method uses the column-and-constraint generation algorithm to solve the robust restoration optimization model. The robust restoration strategies generated by the model can make sure restoration feasibility under any fluctuation scenarios in the uncertainty sets. Implementation of the method is simple and the method has practicability and can solve unfeasibility of restoration strategies caused by uncertain factors in the active distribution network. 11) after detection and isolation of faults in the active distribution network, creating polyhedral uncertainty sets II according to historical data, current load demands and distribution generation outputs of the active distribution network, wherein. A robust restoration method for an active distribution network, comprising steps of:{'sub': con', 'con', 'i', 'i', 'i', 'dg', 'dg', 'i', 'i', 'i', 'i, 'sup': 0', '0', 'dg', '0,dg', 'dg', 'dg', '0,dg, 'u': [{'@style': 'single', 'sub': 'i', '{circumflex over (P)}'}, {'@style': 'single', 'sub': 'i', '{circumflex over (P)}'}], 'o': [{'@ostyle': 'single', 'P'}, {'@ostyle': 'single', 'P'}], 'Ψis set of buses in a connected area of the active distribution network, for each load demand bus i belonging to Ψin the connected area, {tilde over (P)}is actual active load demand at the load demand bus i during a restoration period, Pis known current active load demand at the load demand bus i, and {circumflex over ()}are the lower ...
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