Distribution Network Nestoration And Neconstruction With Distributed Generation And Auxiliary Decision

In recent years,with the rapid development of distributed power technology,the uneven distribution of energy resources and environmental degradation can be alleviated to a certain extent.However,a large number of distributed generation put into use will inevitably cause great challenges to the safe and stable operation of the traditional distribution network.The input of distributed generation will have a certain impact on the distribution network topology and power flow direction.The fault recovery reconfiguration of distribution network mainly realizes fault isolation and non fault area power supply recovery by changing the switch state.The assistant decision of power grid can help dispatchers to deal with faults quickly and accurately.Therefore,it is necessary to study the fault recovery and auxiliary decision-making of distribution network.The main work of this paper is as follows:Firstly,the operation characteristics of distributed generation and the power flow calculation of distribution network including distributed generation are studied,and the traditional forward and backward power flow calculation method is improved.Then,the superiority of the power flow calculation method in this paper is verified by the simulation of IEEE33 node system.Then,according to the characteristics of traditional binary particle swarm optimization algorithm that is easy to fall into local optimal solution,the mutation operation in genetic algorithm is introduced into particle swarm optimization algorithm to avoid the convergence of the algorithm in local optimal solution.Then,a fault recovery strategy with distributed generation considering islanding is studied,and a breadth first search algorithm is used to islanding distributed generation.Then,the fault recovery model of distribution network outside the island is established,and the restoration reconstruction outside the island is realized by the improved binary particle swarm optimization algorithm.Finally,through the simulation of IEEE33 node and IEEE69 node system,the effectiveness of the fault recovery strategy and the superiority of the improved particle swarm optimization algorithm are verified.Finally,a design method of power grid assistant decision support system based on Petri net is proposed.Firstly,the fault type is judged by the alarm signal processing model of Petri net,and then the corresponding emergency plan is obtained quickly and accurately by cosine matching algorithm.The proposed method can provide scientific decision support for power grid emergency decision makers.The paper contains 22 figures,11 tables and 82 references.