Considering the fact that there are many qualitative indexes in performance analysis and evaluation of a grid-connected wind power generation system and each index is random and fuzzy

a performance analysis model of grid-connected wind turbine generator system is established based on membership cloud gravity center.The comprehensive evaluation index system of performance analysis for a grid-connected wind power generation system is analyzed and constructed with respect to four aspects

i.e. technical parameters

overall function

system reliability

and maintainability. Then

the values of the evaluation indexes are transformed to cloud model

and the weight of each index is determined. Finally

the modified weighted deviation degree is calculated and put into the qualitative judgement cloud generator to obtain performance evaluation result of the wind power generation system. The proposed method is employed to analyzed the performance conditions of a certain wind power generation unit

and is compared with the conventional fuzzy comprehensive evaluation method to verify the superiority and effectiveness of the proposed model.