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Optimization Study For The Capacity Ratio Of Wind And Thermal Power Joint Planning

Posted on:2015-09-04Degree:MasterType:Thesis
Country:ChinaCandidate:S ShenFull Text:PDF
GTID:2272330431483064Subject:Technical Economics and Management
Abstract/Summary:PDF Full Text Request
Fossilfuel-basedenergy systemnot onlypromoted the development ofsociety, but alsoprovided unprecedentedenvironmental problemsto human beings. Wind energy is a clean and sustainable energy, has gradually become an important part of many national strategies for sustainable development.In support of our policy,"the three northern regions" with abundant wind resources have made rapid development of wind power industry, and some of the inland provinceshave also began to focus on the development of wind power.However, due to the randomness and anti-peaking characteristics of wind energy, modulation summit grid will face new challenges after the large-scale wind power add in the network operation. So, it is necessary to add some certain peaking power to ensure the safe operation of wind power system stability.This will not only reduce the abandoned wind power capacityand outgoing transmission costs, but also improvethe reliability of wind power network operation and utilization of the grid outgoing line.On the basis of conventional power planning model and the characteristics of wind power, this paper builds capacity ratio model, taking the joint planning system profit maximization as the object and considering the price factor of regional carbon emissions, optimize the model by the assuming data. The results show that the thermal and wind power capacity at a reasonable ratio, can not only ensure the system’s economy, but also achieve a reduction abandoned wind power, wind power and the purpose of improving network capacity.Finally, the paper also build a comprehensive evaluation system with the matter-element method, and make a comprehensive analysis fromthree aspects of security, economy and environment, the evaluation results show that the model constructed in this paper has advanced function.
Keywords/Search Tags:joint planning, power plan, optimization model, matter-element method, comprehensive evaluation
PDF Full Text Request
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