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Research On Large-scale Wind Farm Clusters Gathered Transmission Network Expansion Planning

Posted on:2017-03-25Degree:MasterType:Thesis
Country:ChinaCandidate:W T XieFull Text:PDF
GTID:2272330485991548Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
As the most effective clean energy to reduce carbon emission, wind power is the most potential non-hydroelectric renewable energy for large-scale development under our country’s current technology conditions. The volatility of wind power makes it difficult to access the system, which has put forward new requirements for power grid planning under the new situation. With the rapid development of wind power, how to realize the harmonious development of wind power and electric power system has become the inherent requirement to realize the large-scale development of wind power. Based on the measured data of wind power in Ningxia region of China, this paper has discussed and researched the power convergence and transmission of large-scale wind farm clusters, the optimization of transmission capacity, and the power gird planning under the carbon trading market mechanism.Based on the measured data of wind power in Ningxia region of China, the characteristics of transmitted wind power’s capacity of wind farm clusters have been analyzed and researched.In accordance with the specific location and distribution each wind farm in Ningxia region has been classified to different wind farm clusters. According to the trends of four running modes of power grid in Ningxia region the transmission path of wind power has been analyzed. The wind power of wind farm clusters in Ningxia region has been researched in terms of the time sequence of different wind power’s convergence capacity and the volatility of continuous power production. The characteristics of power convergence of wind farm clusters in Ningxia region have been analyzed quantitatively. Considering the characteristics of wind power’s capacity the prediction model of annual wind power’s capacity of this region has been established and the effectiveness has been proved by error analysis.Considering the current requirements for low carbon emission of the development of electric power and the benefits of low carbon emission, a method of optimizing transmission capacity has been proposed. According to the volatility of wind farm clusters’ capacity the principle of optimizing the transmission capacity of wind farm clusters has been analyzed. In accordance with the current carbon trading system and quota system of renewable energy, the return model of wind power’s transmission and carbon emission reduction has been established.Targeting the optimization of comprehensive profits for original generating place and considering the benefits of carbon low emission, the method of optimizing the transmitted capacity of wind farm clusters has been proposed. Finally, taking wind farm clusters in Ningxia region as the example to analyze the optimization of wind power’s capacity and transmission,using the method presented at this paper could increase the comprehensive profits significantlyfor original generating place and give a guarantee of the benefit of carbon emission reduction,and provide a certain guiding significance for the planning of wind power’s transmission under low carbonization of electric power’s development.In accordance with the analysis of wind power’s convergence capacity and scenario probability, a planning method of large-scale wind power’s transmission grid has been proposed.Based on the analysis of the measured output data of wind power in Ningxia region and the evolvement of wind power’s convergence capacity, interval probability of wind power’s output has been predicted and calculated. The optimization model of power transmission grid has been established by scenario analysis and probability calculation. The model includes the sub-model of power transmission grid planning and the sub-model of investment cost for wind power access which is uncertain. And the planning model of scenario probability established by this paper has been solved with the using of improved artificial fish swarm algorithm. Finally, the effectiveness of the method proposed by this paper has been proved with the analysis of numerical examples.
Keywords/Search Tags:wind farm clusters, clustered wind generation transmission, Capacity Optimization, carbon emission reduction, transmission planning
PDF Full Text Request
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