Optimal Allocation Of Distributed Generation In Active Distribution Network

In recent years,distributed generation technology has developed rapidly.Renewable energy,represented by wind energy and solar energy,has been widely studied and utilized.In order to give full play to the advantages of Distributed Generation(DG)and meet the challenges after power grid access,Active Distribution Network(ADN)is considered as the future development direction of traditional distribution network because of its ability of active management.In this paper,the optimal configuration of DG in active distribution network is studied based on multi-scenario analysis under scene reduction.The main work is as follows:Firstly,the uncertain models of wind power,photovoltaic and load are established.On this basis,the scenarios of two types of DGs and loads are analyzed,and their inherent uncertainties and timing characteristics are analyzed.Through the analysis of scenario characteristics,the advantages of multi-scenario method in DG planning compared with other scenario analysis methods and the feasibility of multi-scenario reduction are explained.In order to solve the problems that may arise from using large-scale scenarios in the planning of DG considering uncertainties by using multi-scenario analysis method at present,this paper introduces the common scenario analysis methods and related scenario reduction techniques in the process of optimizing DG configuration,and focuses on the cluster analysis which is suitable for large-scale scenario reduction in the scenario reduction method.On this basis,a scene reduction method based on improved clustering algorithm is proposed,and the effectiveness of the scene reduction method is tested,which verifies the feasibility of the reduction method.In view of the fact that there are few studies on the optimal allocation of DG in ADN when ADN is in fault state,a bi-level programming model is established,which aims at minimizing the annual comprehensive cost and the amount of active power removal,by introducing comprehensive safety index and taking full account of the timing characteristics of DG and the influence of active management mode.Aiming at the complex mixed integer non-linear programming model,a hybrid algorithm of quantum genetic algorithm and primal dual interior point method is used to solve the model.Finally,the scene reduction method based on improved clustering algorithm proposed in this paper is used to reduce two kinds of DGs and loads,and the effectiveness of the method is tested.Through the simulation of the IEEE-33 node system,the planning schemes considering the active management mode and not considering the active management mode under the constraints of comprehensive security indicators,the planning schemes considering the constraints of comprehensive security indicators and not considering the constraints of comprehensive security indicators under the active management mode,and the planning schemes under the three scenarios set are compared,and the scenarios used in this paper are verified.The advantages of the method of reduction and the comprehensive security index in optimizing the configuration of DG in ADN are discussed.