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Optimal Capacity Models Of Ditributed Generating Units And Optimal Operation Models For Microgrid

Posted on:2015-04-02Degree:MasterType:Thesis
Country:ChinaCandidate:Y M ShenFull Text:PDF
GTID:2272330422472077Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
As the global energy and environmental problems have become increasinglyprominent,exploitation and utilization of renewable resource have been concerned ofmore and more countries in the world. However, renewable energy such as wind energy,solar energy has the characteristic of randomness and intermittence, and its output is notcontrollable, massive access easily cause greater disturbance on the grid. As a single andcontrollable unit, microgrid is convenient for access and administration of DG.Microgrid provides an effective way for the utilization of renewable energy with itsflexible, intelligent control of features. Capacity optimization of microgrid is theimportant work of the planning and design phase, and is important for improving powersystem reliability and economical operation. Microgrid optimal economic operationanalysis is the guarantee of microgrid security, reliability, economy operation. The paperis subsidized by the technology project "intermittent renewable energy islands powernetwork operation technology and engineering demonstration" of the state gridcorporation of China on microgrid capacity optimization,economic operation andelectricity price optimization.The optimal capacity combination model of a isolated microgrid is established,which considers pollution emissions, punishment of renewable energy waste, the effectof charge and discharge process of lead-acid battery to its lifetime and reliability. Thispaper establishes isolated microgrid multi-target capacity optimization configurationmodel, and the adaptive genetic algorithm is proposed to solve the problem thenanalysises effect of the punishment of wind energy waste and the reliability to capacitycombination of microgrid. Example analysis results show that punishment of windenergy waste and reliability have great effect to capacity combination of microgrid. Thepunishment of wind energy waste should be considered in the network planning, and thedifferent investment schemes should be selected according the different user reliabilityrequirements.In the paper, the effect of charge and discharge process of lead-acid battery to itslifetime is studied by economic cost analysis. Then, in order to deal with the effect ofintermittent sources to the spinning reserve, probability constrained programming isproposed to reflect the confidence level of the spinning reserve. Lastly, the optimaleconomic operation model of isolated microgrid is established. The particle swarm optimization algorithm is proposed to solve the model, at the same time, in order toimprove the efficiency of generating feasible solution, the heuristic-adjusted strategiesare used to adjust the output of conventional unit and battery. One standalone microgidand a grid-connected microgrid are used as an example to prove the validity of theproposed model and algorithm. The optimal economic operation can provide referencefor the short term scheduling scheme in the practical microgrid engineering.This paper studies the user response characteristic to the time of use price, andestablishes the user load response characteristic curve to the time of use price on thebasis of consumer psychology. Based on the foregoing optimal operation model,thepaper analysises the effect of demand side. The paper establishes the optimal TOUmodel besed on economic operation and the demand side response. The power supplyenterprise benefit maximization is the goal in this model, the best time of use price andoptimal scheduling scheme can be made according to the prediction of the load.Example analysis results show that the operation cost of microgrid reduces and thepower supply enterprise benefit increases when considering the demand side response.
Keywords/Search Tags:microgrid, capacity allocation, optimal economic operation, heuristic-adjusted strategies, demand side response
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