基于聚類風(fēng)電場分群及等值建模的研究
[Abstract]:With the rapid development of wind power generation in China, the large-scale grid connection of wind power units has more and more influence on the power system. However, due to the lack of peak shaving capacity of the power grid, the blocking of distribution lines and the insufficient transmission capacity, etc. Wind farm power restriction has become a major challenge for wind power development. Especially in the severely limited power area, the dispatching will remove some wind motors at random, which will make some wind turbine units with better performance be removed. Based on cluster wind farm clustering and equivalent modeling theory and method of wind farm group modeling are studied using operation data. The establishment of dynamic model of wind farm group provides the basis for power grid dispatching. It is of great significance to improve the operation efficiency of wind farm group and reduce the impact of unstable wind farm group on power grid. In this paper, a fast updating clustering method based on wind turbine operation data is studied. After the wind farm group model is established, the model is more time-efficient through continuous rolling updating. The simulation results show that this method can ensure a small error compared with the actual model output. At the same time, select a better unit for power dispatching priority to ensure the stability of power grid operation.
【學(xué)位授予單位】:華北電力大學(xué)(北京)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2016
【分類號】:TM614
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