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Research On Power System Unit Commitment With Pumped Storage Power Plant And Wind Power

Posted on:2014-01-04Degree:MasterType:Thesis
Country:ChinaCandidate:M YuFull Text:PDF
GTID:2232330392960805Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the development of the power system, the secure, economic, andreliable operation of which is becoming more and more important. As thecore issue of the power system operation scheduling, the unitcommitment is also becoming more complex than ever. Integrations ofthe wind power and pumped storage power plant presented newchallenges to the mathematical model and solving method of the unitcommitment problem. This paper carried out a detailed study on solvingpower system stochastic unit commitment with wind power and pumpedstorage power plant integration. The main contents are summarized asfollows:1. The history of the development and research status of the unitcommitment problem are revieeed, and the impact of wind power andpumped storage power plant integration on the unit commitment isanalyzed. According to the technical differences of the thermal power,wind power and pumped storage power plant, the mathematical model ofthe unit commitment with wind power and pumped storage power plantintegration is established based on the basic unit commitment model.2. The third chapter mainly focuses on the certain unit commitmentproblem based on the wind power prediction. Three cases of the unitcommitment problems (Excluding pumped storage power plant,integrating pumped storage power plant with certain scheduling strategyand ntegrating pumped storage power plant with random schedulingstrategy) are studied. A10units example system is solved by thepresented BPSO algorithm, results shows that the pumped storage power plant has a good role in enhancing unit commitment economy.3. The fourth chapter is the focus of this paper, in which the impacton the unit commitment problem of wind power volatility based on thethird chapter. We use Monte Carlo sampling and scenario reductiontechnology to generate a certain number of scenarios, which can simulatethe wind power volatility, and Bendersdecomposition to decompose theunit commitment a master problem and a subproblem. The numericalsimulation results show that integration of pumped storage power plantcan inhibit the volatility of wind power and increase the security of thepower system operation. The differences of scenario numbers, the windpower prediction errors, pumped storage power plant capacities andinitial water levels can lead to different results.
Keywords/Search Tags:stochastic unit commitment, wind power, pumpedstorage power plant, BPSO, Benders decomposition
PDF Full Text Request
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