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Coordinated Planning Of Distribution Network Containing Charging Station And Distributed Generation

Posted on:2015-07-31Degree:MasterType:Thesis
Country:ChinaCandidate:W L WuFull Text:PDF
GTID:2272330422984937Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Distributed generation (DG) and electric vehicle are effective ways tosolve energy crisis and environment pollution. They depend on adavantages asclean and environmentally, reducing the loss, and flexible operation, beingmore and more widely used. Lots of charging stations and DG operated indistribution network, havs great impacts on economy, power quality andreliability of the power grid. Therefore, how to coordinate optimization of DG,charging station and distribution network frame, and quantify economic andtechnical indexs in distribution network planning, is an important problem needto solve urgently.Research achievements and status in the related field were summarized athome and abroad. This paper considered synthetically the interaction of DGand charging station, and studied the coordination optimization of DG, chargingstation, and distribution network frame to achieve economy and technicalcoordination for planning scheme.Ownership of electric vehicles was forecasted based Bass model, andplanning model and it’s solving algorithm of charging station were studied.Charging demand was analyzed based on ownership forecast of electricvehicles. Then, the multi-objective coordinated planning model of DG andcharging station was presented. In the model, the minimum of costs aboutinvestment, operation and maintenance, power loss, and voltage quality wastaken as the target, and power quality was added into objective function.Charging demand of electric vehicles was as constraint, etc. The proposedmodel was solved by improved genetic algorithm. Economy and power qualitiewere synthetically considered in the target, and the factor which voltage levelwas converted to economy was introduced. The inflection point of conversioncoefficient was obtained by multiple computations, and planning based on itcould coordinate optimization of DG and charging station, and realize thecoordination of economy and power quality. The effectivity of model andmethod was verified by IEEE33node system.Based on the completement of coordination planning on generator, considering environmental values and pollution punishment of emissionsproduced by power generation, coordination planning model of distributionnetwork containing DG and charging station was presented. It took theprobability distribution of load and output of DG into account. The objectivewas to minimize stochastic expected value of costs about investment, operation,maintenance and environment. Such as radial distribution and power supplycapacity were as constraint. The model was solved by the improved geneticalgorithm based on hybrid encoding method. A radial distribution for expansionwas an example, and the method and model were verified.Simulation results show that the method presented can coordinateoptimization of DG, charging station and distribution network frame. Comparedwith separate or phased planning, the method can get comprehensiveoptimization planning, and realize the coordination of economy and technologyof planning objectives.
Keywords/Search Tags:distributed generation, electric vehicle charging station, distribution network planning, coordination planning, stochastic power flowcalculation, improved genetic algorithm
PDF Full Text Request
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