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Optimal Allocation Of Distributed Power Network Based On TSPSO And AHP Algorithm

Posted on:2014-01-18Degree:MasterType:Thesis
Country:ChinaCandidate:H Y ZhangFull Text:PDF
GTID:2232330398995137Subject:Power electronics and electric drive
Abstract/Summary:PDF Full Text Request
With the continuous development of China’s power industry, the distributed generationneeds increasingly strengthened, and distributed generations (DG) connected to the gridwhich will make the existing network structure changed, then affect the original systems, dueto the different rationality of planning and inadequate planning,it maybe show a positiveaspects, such as reducing system power loss, but it also may have adversely affect, forexample, the stability of system voltage will be destructed, etc. Therefore it is important fordistributed power access to have a rational planning and configuration. This paper is based onthe power system with distributed power network.The number, location, and capacity ofinstallation can be determined through improved particle swarm optimization (PSO)algorithm. The unaffected part of power feeder with distributed power can be disconnected orre-accessed, thereby reducing the failure rate of the system. In-depth study, this paperconsiders the impact of reclosers, trying to provide a reference for optimizing the entiresystem and obtain the best optimization.Firstly, the advantages and disadvantages of the particle swarm algorithm and TabuSearch algorithm has been analyzed in this paper, according to these, the typical particleswarm optimization algorithm has been improved, because of the tabu search algorithm isintroduced, the effective integration of the two, the improved TSPSO algorithm is receivedwhich can improve the global search optimization capability, and also has relatively goodlocal search ability, at last is tested by test function simulation experiments about itssuperiority.Then, the improved PSO algorithms applied to power systems with distributedgenerations. First of all, a mathematical model should be made based on reducing the loss ofpower network. And decide the location and capacity of the distributed power network. Thenthrough the simulation, compared with the voltages of each node and verified the methodwhich proposed in this paper rationally and feasibly.Finally, according to the practical problems of the system network, the multi-objectivemathematical model should be established based on system reliability, power losses, powerquality etc. Considering the DGs and reclosers allocation, the optimization process iscompleted by using the improved algorithm, and getting the optimal solution set. And finallycombined with AHP deeply to analyze and compare the optimal allocation scheme, and seekthe importance weights for multiple optimization criterias, and then get the final optimize the allocation of the results.
Keywords/Search Tags:distributed generation, recloser, particle swarm optimization algorithm, tabusearch algorithm, analysis hierarchical process, multi-objective optimization
PDF Full Text Request
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