Research On The Fault Diagnosis And Restore Power In Visualization Of Distribution Network

Distribution network as a bridge of power distribution in whole power system,ensure its normal operation is the necessary way to improve the power supply reliability,safety and service quality and the shortcut to enhance work efficiency and reduce operating costs.The fault diagnosis and recovery of distribution network is the important content of the construction of smart grid and distribution automation,it is also the last line of defense to ensure the stability of the power system.Firstly,this thesis analyzes and summarizes the methods of fault diagnosis for distribution network.Combining the structure features of the distribution network,a modified algorithm based on the regional classification idea is proposed by combining the existing matrix algorithm.The method first divide the distribution network into several levels,then localization the fault interval according to the levels.The Algorithm greatly reduces the search time and improves the positioning efficiency because it just search the matrix which include in fault interval,it’s advantages can be manifested especially for the largest distribution network.Electromagnetism-like Mechanism(EM)algorithm not only has the strong fault tolerance but also has the good convergence in the discrete domain.So this thesis adopt good-point set theory to produce the initial population,improved mobile strategy,coevolution of several population and local search of the optimal solution to increase the accuracy and the rapidity of fault location.Through the analysis of fault location of the distribution network,the fault location of the fault location shows that the improved electromagnetic algorithm is better than the standard algorithm in population information and iteration times.Research on the characteristics of distribution network and fault recovery methods,this thesis presents a distribution network reconfiguration algorithm based on improved ant colony algorithm.Firstly,the fault recovery of distribution network is modeled,this thesis has been improved from two aspects of the choice of nectar and the search strategy according to the deficiency of the artificial bee colony algorithm.Simulation verifies the correctness of the method.The results show that the algorithm has been greatly improved in the aspects of convergence speed and deficiency,it can be very good to meet the requirements of the distribution network fault recovery.In this thesis,a fault location and power restore system developmental with C#software has been created by the theory put forward above,which can realize the effect of visualization.System and user can interact effectively,it makes the system more easy to transplant and maintenance,and also has strong pertinence compared with the previous visualization software.