微特电机 ›› 2023, Vol. 51 ›› Issue (5): 66-71.

• 综述 • 上一篇    

基于组合权重-TOPSIS综合评价法的风场及风力发电机组健康度评估

吴荣根1,2, 吴博阳1,2, 蔡海洋1,2, 罗智1,2   

  1. 1.浙江省风力发电技术重点实验室,杭州 310000;
    2.浙江运达风电股份有限公司,杭州 310000
  • 收稿日期:2023-01-03 出版日期:2023-05-28 发布日期:2023-05-29
  • 作者简介:吴荣根(1987—),男,本科,助理工程师,主要从事风电项目运维管理、质量管理、安全管理工作。

Health Rating Assessment of Wind Farms and Wind Turbines Based on Combined Weight-TOPSIS Integrated Evaluation Method

WU Ronggen1,2, WU Boyang1,2, CAI Haiyang1,2, LUO Zhi1,2   

  1. 1. Key Laboratory of Wind Power Technology of Zhejiang Province,Hangzhou 310000, China;
    2. Zhejiang Windey Co., Ltd.,Hangzhou 310000, China
  • Received:2023-01-03 Online:2023-05-28 Published:2023-05-29

摘要: 针对风场及风力发电机组客观、准确的健康度评估,提出了一种基于多指标组合权重的风场及风力发电机组健康度TOPSIS综合评价法。该方法考虑了可靠性各指标之间的差异性与关联性,使用熵权-CRITIC-标准离差法组合赋权模型确定评价指标的组合权重,利用该组合权重和TOPSIS综合评价法比较各评估对象之间的相对优劣程度,计算出各评估对象与理想化目标接近程度的排序结果和健康度等级。根据风场和风力发电机组实际运行情况和结合专家经验,验证了该方法的可行性与有效性。对于提高风场和风力发电机组运行稳定性和可靠性、降低运维成本具有一定的工程实践意义。

关键词: 风场, 风力发电机组, 健康度, 综合评估, 组合赋权, 评估指标

Abstract: For the objective and accurate health assessment of wind farms and wind turbines,a comprehensive TOPSIS evaluation method for the health of wind farms and wind turbines based on the combined weights of multiple indicators was proposed. The method took into account the differences and correlations among the reliability indicators, and used the entropy-CRITIC-standard deviation method combination weighting model to determine the combination weights of the evaluation indicators. The combination weights and the TOPSIS comprehensive evaluation method could be used to compare the relative strengths and weaknesses among the evaluation objects, and calculate the ranking results and the healthiness level of each evaluation object in terms of its proximity to the idealized target degree.The feasibility and validity of the method were verified based on the actual operation of wind farms and wind turbines and combined with experts' experience, which has certain engineering practical significance for improving the operational stability and reliability of wind farms and wind turbines and reducing the operation and maintenance costs.

Key words: wind farm, wind turbine, health status assessment, comprehensive evaluation, combined weighting method, evaluation indicators

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