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并网风电机组运行状态的物元评估方法 被引量:33

A Matter-element Assessment Method of a Grid-connected Wind Turbine Drivern Generator System Under On-line Operating Conditions
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摘要 为了准确评估风电机组实时运行状态,结合机组在线监测信息,提出基于物元分析理论的风电机组运行状态评估方法。首先,分析风电机组控制系统所监测的物理量,构建风电机组运行状态评估指标体系;借鉴Bin方法对所监测的温度量进行分析,并引入劣化度概念对各评估指标进行量化处理。其次,采用层次分析法(AHP)和均衡函数得到了各评估指标的综合权重,结合可拓集合中的关联函数,建立了风电机组运行状态的物元评估模型。最后,应用提出的运行状态评估模型对某850 kW并网风电机组的实际监测数据进行了计算,并与实际结果进行对比分析,结果表明了所提出的风电机组运行状态评估方法和模型的有效性。 In order to accurately assess the real-time operating conditions of a grid-connected wind turbine dviven generator system(WTGS) while referring to the on-line monitoring information,a matter-element assessing method for the operating conditions is proposed.Firstly,by analyzing the monitored physical quantities of the control system of a WTGS,an evaluation indicator system of operational conditions for a grid-connected WTGS is constructed that can reflect the important operational characteristics of the WTGS.Secondly,by using a method of Bin,the evaluation indicators of the monitoring temperature values are analyzed respectively,and the concept of inferiority indicator is introduced to quantify all evaluation indicators.Thirdly,by using both the analytic hierarchy process(AHP) method and equalization function,the comprehensive weights are calculated.In addition,by referring to the extended relation functions in the matter-element analysis theory,the matter-element assessing model of the operating conditions for the WTGS is developed.Finally,based on the actual monitoring data of a 850 kW WTGS within a period of time,the operating conditions are evaluated with the matter-element method proposed.A comparison with the actual operation conditions shows that the assessment method and model proposed are effective.
出处 《电力系统自动化》 EI CSCD 北大核心 2011年第6期81-85,共5页 Automation of Electric Power Systems
基金 输配电装备及系统安全与新技术国家重点实验室自主研究项目(2007DA10512710101) 中央高校基本科研业务费专项资金资助项目(CDJZR10150014) 重庆市科技攻关计划项目(2008AB3050)~~
关键词 风电机组 状态评估 物元分析 在线监测 层次分析法 wind turbine driven generator system conditions assessment matter-element analysis on-line monitoring analytic hierarchy process
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