Font Size: a A A

Oriented-Object Distribution Fault Analysis And Management Technique

Posted on:2004-11-25Degree:MasterType:Thesis
Country:ChinaCandidate:Y LuFull Text:PDF
GTID:2132360095453119Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Medium-voltage distribution network is an important part of electric power system and one of the necessary infrastructures for modernization. To improve the distribution network in our country, some advice of reforming Medium-voltage distribution network was presented by the state electric power system in September 1998, and was widely used. Substantial practice shows that distribution fault management system is the most important part of DMS.A method for fast-fault-location required an arc-structure matrix and is based on the practical information achieved by FTU, and then we can get some solution of "Large area restoration" on basis of the five object functions mentioned in this paper. Because this method is a non-linear, non-differentiable and combinatorial-constrained optimization problem, Mathematical optimal approaches are not suitable for solving this problem. The genetic algorithm based on natural selection and natural gene mechanism is presented in this paper. It simulates the network structure optimization by simple encoding technique and propagating mechanism.According to the structural characteristic of distribution network, a method for fast-fault-location is proposed. This method required an arc-structure matrix and is based on the practical information achieved by FTU. It is applicable to various structural distribution networks.While resolving the "Large area restoration", the genetic algorithm execute three same and simple genetic operators: selection, crossing and mutating. It make a self-adaptable and probability overall searching under the leading of fitness value inthe whole searching scale until acquiring the best result. The running result of practical example applied in this paper show that the genetic algorithm is a kind of excellent algorithm because its running course is very simple and the optimal result is enough and it can be applied in many domains.In the end, the paper reaffirm the importance and imminence of a method for fast-fault-location and the "Large area restoration", and discuss the wide foreground of on then basis of comparison of the advantage and shortcoming of it and traditional algorithm.
Keywords/Search Tags:distribution, fault-location, matrix of arc, Large area restoration, Genetic Algorithm, Fitness Function
PDF Full Text Request
Related items