Research On Network Reconfiguration In Distribution System

Network reconfiguration is not only an important method in circulate and control of distribution system, but also an important part of distribution management system. In theory, network reconfiguration is a complex and many object combination optimization problem. From 1980s, people has extensively studied on network reconfiguration of distribution system. so many relatively mature methods and theories of network reconfiguration has formed and developed, but all methods have many shortcomings. The ability of global searching and extensive application in other scopes of genetic algorithm has proved that it is attracting goal for us to study how to apply genetic algorithm to network reconfiguration.The thesis discussed the home and foreign methods of distribution network reconfiguration. In theory, the method of math optimization can assure the global optimization result, but in fact it will result in the combination blast when the dimension increases. The method on the base of simulated annealing can get the global optimization result, but it has shortcoming that it depends on the parameter and calculation is large. The method on the base of artificial neural network can get the result in the shortest time and does not calculate the flow, but the precision depends on the stylebook, it is difficult that gets the full stylebook and it needs train the stylebook with the long time. The fuzzy math and the expert system depends on the development of the other technology. Optimal flow pattern and branch changing cannot assure the global optimization result, but it can get the result in short time if it combines with the elicitation method. Genetic algorithm has many speciality in network reconfiguration, it will get more applications in network reconfiguration if it can combine with the distribution system peculiarity and improve the convergent speed and astringency. When only one method cannot settle the problems well, it is considered that combines with two or more methods, maybe there will be a satisfied result. So the thesis applies the genetic algorithm as a foundation and a main method, then introduced the thought of simulated annealing as an assistant method on the research of the network reconfiguration.On the base of the research of genetic algorithm and simulated annealing, the thesis improves the method of genetic operation: adopts encoding mode based on basic loop, introduces one new crossover mode, puts forward one new mutation mode, at the same time adds into inversion operator. For acceptance mechanism of new answer, introduces Metropolis rule of simulated annealing. Proves the mixed genetic annealing algorithm ability of solving the problem of distribution reconfiguration.On the base of research of theory and algorithm, the thesis researches theory of sen, ice restoration reconfiguration in distribution network, and discusses integrated optimization of distribution network elementarily.