Contingency Assessment and Network Reconfiguration in Distribution Grids Including Wind Power and Energy Storage


In case of abnormal conditions, distribution systems ought to be reconfigured to beat the impacts of outages like overloads of network elements and increased power losses. For this purpose, energy storage systems (ESS) and renewable energy sources (RES) can be applied to boost operating conditions. An optimal contingency assessment model using two-stage stochastic linear programming as well as wind power generation and a generic ESS is presented. The optimization model is applied to search out the best radial topology by determining the most effective switching sequence to resolve contingencies. The proposed model is applied to a 69-node distribution system and the results of all possible contingencies in the network are examined considering three completely different case studies with many situations. Still, a reconfiguration analysis including all the contingencies is presented for the case studies.

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