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Research On Impacts And Optimization Allocation Of DG In Distributed Network

Posted on:2015-05-16Degree:MasterType:Thesis
Country:ChinaCandidate:Y W QiFull Text:PDF
GTID:2272330422484535Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Access to the distribution network of distributed power system protection, fault recovery,the impact of power quality is closely related to other aspects of distributed power accesslocations and access capacity. So this paper the impact of distributed power grid fordistribution were studied.This paper first introduces distributed power characteristics, principles and models,based on the analysis of its distribution network fault recovery, protection, reclosing, theimpact of power quality. Then, IEEE6node system simulation model by changing the accessto different nodes distributed electrical power, distributed power access locations obtained,the relationship between the capacity of the network loss, drawing a net loss characteristicU-shaped curve; By changing the distribution of type power factor, power factor determinedby the time lag to advance network loss and voltage variations, voltage fluctuations obtainedthe largest node locations and capacity, could easily lead to further determine the voltagecollapse nodes, the contact line and load limits, and the simulation results are analyzed.In the analysis of distributed power distribution network on the basis of the impact, thepaper further optimize the allocation of distributed power were studied.First, the establishment of investment costs, network outages and voltage stability ofthree objective functions, including government investment cost, power companies andinvestors make a distinction between the interests of the power stability with a quantifiableobjective function;Then, in the analysis of NSGA-II algorithm strategy, fitness function, and the algorithmbased on differential evolution algorithm is introduced to the organic integration, and testingand analysis by the algorithm, showing the superiority of improved NSGA-II algorithm.Numerical example shows that the improved NSGA-II algorithm can guarantee underthe premise of global observations, simple and fast multi-objective optimization, to obtain thedesired Pareto optimal solution set, so that policy makers can choose according to their ownsituation Science; investment The objective function in the power distribution network ofinvestors and corporate earnings separately, and the introduction of government pricesubsidies, better reflect the government, the power grid and the actual situation in the interestsof investors and promoting the development of a better distribution of power.
Keywords/Search Tags:distributed generation, the forward/backward sweep method, power loss, differential evolution, NSGA-II
PDF Full Text Request
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