Fuzzy Comprehensive Assessment of Wind Turbines Status Based on Optimal Weight and Membership Cloud

doi:10.11930/j.issn.1004-9649.2017.05.088.07

Abstract

Abstract: In order to overcome strong subjectivity of empowerment and membership evaluation of status assessment indices in fuzzy comprehensive assessment(FCA), a FCA wind turbine status assessment algorithm is proposed based on optimal weight and membership cloud. Firstly, status assessment indices system is established based on analytic hierarchy process (AHP). The relative deterioration degree is introduced to normalize assessment indices and divide condition levels. Then, entropy weight method and AHP are used to determine objective and subjective weights respectively to obtain optimal integrated weight by nonlinear programming. Next, by utilizing generation algorithm of normal membership cloud, the memberships of assessment indices are obtained to build evaluation matrix. Finally, comparing of simulation results with other assessment methods validates effectiveness of proposed method.

Key words: wind turbines, condition assessment, optimal weight, membership cloud, fuzzy comprehensive assessment

CLC Number:

TM614

ZHAO Hongshan, ZHANG Jianping, LI Lang. Fuzzy Comprehensive Assessment of Wind Turbines Status Based on Optimal Weight and Membership Cloud[J]. Electric Power, 2017, 50(5): 88-94.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2017.05.088.07

https://www.electricpower.com.cn/EN/Y2017/V50/I5/88

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