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Diagnostic Strategy Based On Genetic Algorithm For Distribution Network Reconfiguration

Posted on:2012-03-29Degree:MasterType:Thesis
Country:ChinaCandidate:C Y LiFull Text:PDF
GTID:2212330368487056Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Distribution network reconfiguration for power distribution management system, an important part of the distribution system is an important means of operation and control. Its purpose is under normal operating conditions or failure conditions, by switching the points, the state of being to find an optimal network structure. In this structure, so that perhaps some aspect of reconstruction after a wide range of properties, such as balancing the load and reduce network outages, power supply voltage quality is superior to the other network structure. To improve power system reliability, economy and security.Distribution network reconfiguration of means, such as the optimal flow pattern method, branch exchange method, genetic algorithm and so on. Scholars from many years of research and application point of view, the genetic algorithm in distribution network reconfiguration applications is a good algorithm.According to the characteristics of its own distribution network, as well as in the calculation of a large number of infeasible solutions generated in the process difficulty. In this paper, the basic genetic algorithm based on the combination treatment of human diseases to the health of the body have been restored or enhanced the principle, the proposed diagnosis strategy based on genetic algorithms.This paper analyzes the basic definition of the standard genetic algorithm, principles and mathematical theory, in order to minimize power loss as the distribution network structure of the target. According to the theory of distribution network reconfiguration, topology analysis and flow analysis, combined with the reconstruction of distribution network in the key and difficult, the diagnostic strategy genetic algorithm being applied to the distribution network reconfiguration. Use encoding based on the basic loop, so that a considerable proportion of candidate solutions effectively to improve, but also on the gene pool has been updated, improved genetic operations and made a diagnosis of operation, namely, high-quality gene insertion and gene pathological diagnosis of the repair operation . By opening the "loop" and connected "islands" will be repaired to a feasible solution infeasible. Effectively overcome the shortcomings of the standard algorithm, the genetic algorithm is applied to distribution network reconfiguration difficult problems can be resolved. The ultimate goal of reconstruction of the distribution network. Finally, the standard example for simulation, the results show that the diagnostic strategy based on genetic algorithm in distribution network reconfiguration feasibility and effectiveness.
Keywords/Search Tags:Distribution network, Genetic algorithm, Network reconfiguration, Diagnostic Strategy, Topological analysis
PDF Full Text Request
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