Research On Fault Section Location And Recovery Of Distribution Network With Distributed Generation

With the exhaustion of traditional fossil energy sources and the increasing environmental problems,distributed generation(DG)power generation methods such as wind power generation and photovoltaic power generation have been rapidly developed,and the access volume in the distribution network has increased.As the last link of direct contact with the user,the quality and stability of power distribution network in operation directly affect the normal life of users.When a fault occurs in the distribution network connected to the distributed generation,the fault location must be located as soon as possible,and the power supply can be restored at the fastest speed.However,the traditional positioning methods and the power restoration methods are no longer applicable.In this paper,the distribution network with distributed generation is taken as the research object,and the suitable fault location and recovery reconstruction methods are studied.First of all,this paper introduces several commonly used power flow calculation methods,explaining the commonly used distributed generation,and explaining the distributed power flow calculation model under different node types in detail,The forward and backward substitution method based on node layering is proposed as the power flow calculation method,which helps to calculate the network loss in the later service restoration.Secondly,for the distribution network with distributed generation,a fault location method based on binary particle swarm optimization(BPSO)is proposed,and The algorithm is improved in the case of local optimum.The switching function and objective function of the distribution network with distributed generation are established.The simulation results are carried out for single fault and multiple faults.The simulation results verify the effectiveness of the optimization.Finally,based on the quantum-behaved particle swarm optimization,the service restoration of the distribution network after the fault is studied.Introducing the basic quantum-behaved particle swarm optimization,At the same time,for the reconstruction process of particles must be integer problem,an integer quantum-behaved particle swarm optimization is proposed.The relationship between the parameters in the service restoration process and the variables in quantum-behaved particle swarm optimization is described,The judgment conditions of the network topology after the reconstruction issatisfied are given.The voltage offset and the network loss are selected as the optimization targets,Combined with the quantum-behaved particle swarm optimization,the IEEE33 node system is used as the example system.Reconstruction simulation of single and multiple fault conditions with and without DG is carried out.The results verify the feasibility of the method.