Condition assessment of wind turbine generators based on cloud model

In order to assess and improve the reliability of wind turbine generators (WTG), and to optimize the maintenance strategy, it is necessary to use online monitoring data acquired from supervisory control and data acquisition (SCADA) system to assess the real-time operational conditions of WTG. Because the determination of fuzzy membership function is subjective and fails to take randomness into account in traditional fuzzy synthetic condition assessment, this paper presents a method for real-time condition assessment of WTG based on fuzzy cloud theory. The cloud model is used to describe the fuzziness and randomness in the fuzzy synthetic condition assessment process of WTG. Based on the actual monitoring data of a 1.5 MW wind turbine generator system within a period of time, the operational conditions are evaluated by using the improved method and the case study indicates the proposed assessment method are reasonable and effective.