Research On Active Distribution Network Fault Recovery Considering Photovoltaic Access And Time-varying Load

ADN(Active Distribution Network)is becoming more and more intelligent and has more and more ability to control and manage the load.When it breaks down,it can quickly restore the fault,reduce the economic loss and improve the quality of power supply.Therefore,the research of active distribution network fault recovery is an essential part to ensure the stable operation of power system.Photovoltaic and other DG(Distributed Generation)are connected to the distribution network,which leads to the change of the traditional passive distribution network topology.The operation control mode will be adjusted with the connected DG,and DFS(the Depth First Search Method)will be applied,analyzes the distribution network structure,uses the improved forward and backward algorithm to calculate ADN power flow,and finally uses IEEE33 node system to verify the correctness of the algorithm.Considering that the fluctuation of photovoltaic output and the variation of load power with time will make the research of ADN fault recovery more difficult,the multi-stage dynamic power supply recovery strategy is applied to the research of ADN fault recovery considering photovoltaic access.Firstly,the time-varying model of optical storage system and load is established,and the improved FCMC(Fuzzy C-means Clustering)is adopted Clustering algorithm clusters according to the inherent similarity of time-varying load,completes the division of fault recovery period,transforms ADN dynamic fault recovery considering photovoltaic access and time-varying load into multiple static fault recovery problems with cluster center value representing node load value,which lays a foundation for the research of islanding and residual network recovery of optical storage system.The research of ADN fault recovery can be divided into two parts: islanding of optical storage system and residual network recovery.In the islanding stage of optical storage system,DFS is used to cut off the load of islanding nodes and determine the feasible area of islanding power supply by satisfying the constraints of electricity balance and power balance.Taking IEEE33 node system as an example,the improved binary particle swarm algorithm is adopted BPSO(Binary Particle Swarm Optimization)is used to solve the model,and the islanding scheme in each recovery period is obtained.The remaining unrecovered power supply load is recovered by ADN,and its recovery path is obtained.Taking the loss of power load and the network loss of recovery system as the objective function of fault recovery,taking node voltage and radial operation as constraints,using the improved BPSO to complete the model solution,get the fault recovery scheme.