Abstract：With the development of wind power and scale of wind farm, the spatial distribution difference between wind turbines also increase. Besides, wind turbine trip-off and damage accidents has occurred frequently because of the severe wind conditions, having adverse impacts on the stability and safety operation of power grid. Therefore, it is necessary to study the online risk assessment method for power system with wind energy. Considering the wind turbine spatial distribution difference, this paper proposed an online disturbance risk measure of wind farm based on decision trees, which can perform data mining on online information, and make fast judgement on voltage violation and wind turbine trip-off. Furthermore, according to the judgement of decision trees, disturbance risk measure indices are proposed, which are visualized and provide supportive information for wind farm and power system operators.
卓毅鑫, 徐铝洋, 张伟, 林湘宁, 李正天. 基于决策树体系的预想故障集下风电场扰动风险测度评估[J]. 电工技术学报, 2015, 30(增刊2): 143-152.
Zhuo Yixin, Xu Lüyang, Zhang Wei, Lin Xiangning, Li Zhengtian. Disturbance Risk Measure of Wind Farm Based on Decision Trees under Contingency. Transactions of China Electrotechnical Society, 2015, 30(增刊2): 143-152.
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2015, Vol. 30 
