Multi-periods Reconfiguration Of Distribution Network Considering DG

With energy crisis and environmental protection issues increasingly grim,the development of renewable energy becomes imperative,but the serious waste wind and waste light problem comes out under the centralized generation pattern.Distributed generation(DG)can make full use of renewable energy while avoiding the loss by long distance transmission of electric,which has broad application prospects.In this paper,the problem of multi-periods distribution network reconfiguration considering DG is studied,which mainly includes the following aspects:(1)Aiming at the problem of single period distribution network reconfiguration considering DG,this paper taking the minimum network loss as the objective function established the optimization model.A deep analysis about DG output and reconfiguration was conducted,and suggestions of installing and running DG were proposed for power company.(2)Aiming at the problem of multi-periods distribution network reconfiguration considering DG,this paper taking the minimum cost of loss and switch operation as the objective function of the optimization model.Comparative analysis of different switch operation cost was conducted,which can help the operator as a reconfiguration reference.(3)Aiming at the complexity of multi-periods distribution network reconfiguration,this paper proposes a simple,fast and effective method to obtain the candidate network structure set of corresponding period to decrease the search scope and improve the efficiency of the algorithm.(4)Aiming at the problem of multi-periods distribution network reconfiguration considering the stochastic DG output and load,this paper taking the minimum cost of loss and switch operation under some confidence level as objective function established a chance constrained programming model.Results can be obtained without exact prediction of DG output and load,which can guarantee the safe and economic operation of distribution system with a chance.Different genetic algorithms were designed for these models,and the correctness and effectiveness of the proposed methods were proved by examples.