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

As the last link of the power network,the distribution network directly faces the users and plays the role of distributing power energy.It is the key link for users to feel the service quality of power supply.Therefore,when the distribution network fails,it is necessary to find a fast method of fault location and recovery reconstruction to ensure the reliability of power supply.At the same time,due to the access of a large number of distributed generation(DG),the traditional fault location and recovery reconstruction algorithm is difficult to meet the requirements.Therefore,this paper focuses on the research of fault location and recovery reconstruction algorithm of distribution network with DG.Firstly,according to the characteristics of disffibution network operation,this paper describes the corresponding topology of distribution network with graph theory knowledge,and completes the simplification of distribution network mathematical model.Then it briefly introduces the distribution network automation,the related content of distributed power supply,and analyzes the influence of DG access on distribution network automation.Aiming at the problem of fault location in distribution network with DG,this paper chooses genetic algorithm to solve it based on distribution automation.The mathematical model of fault location is built,and the switch function and evaluation function in the standard genetic algorithm are improved;the distribution network fault partition is processed,which shortens the solution dimension in the algorithm.In order to verify the rationality of the model and the feasibility of the improved algorithm,all kinds of fault types are simulated and analyzed in MATLAB.The results show that the model is reasonable and the algorithm is effective.At the same time,the simulation time and positioning accuracy of the algorithm are analyzed.The results show that the algorithm has high efficiency and accuracy.Finally,this paper studies the fault recovery and reconstruction of distribution network with DG.The objective function is the combination of the minimum number of switching operations and the minimum network loss.At the same time,constraints such as branch capacity and node voltage are transformed into penalty functions and added to the objective function.A mathematical model is built.In the process of solving the model,in order to improve the operation efficiency of the algorithm,based on the traditional genetic algorithm chromosome coding method,the coding method is changed and reduced The number of infeasible solutions in the algorithm is increased,so the operation efficiency of the algorithm is improved.In order to verify the rationality of the model,the IEEE 33 node distribution system is simulated by adding DG as an example,and the results verify the feasibility of the algorithm and the rationality of the model.At the same time,the network node voltage is improved,and the power supply quality is improved.Figure[19]table[9]reference[80]...