摘要
风电机组的可靠性水平是反映机组性能的重要指标之一,通常采用可利用率来评价机组的可靠性,但这种方法有时不能准确反映机组的可靠性水平,同时,在机组的可靠性评价中存在一些模糊性质。针对上述问题,提出一种基于模糊集理论的多指标风电机组可靠性评价方法。该方法基于模糊综合评价的原理,以机组平均故障间隔时间、平均维修时间、停机次数、功率曲线符合率和可利用率作为评价指标,对机组的可靠性进行评价。在权重设置的过程中,为消除专家的主观影响,根据信息熵原理,通过计算指标数据熵权,与专家权重综合成复合权重,再利用加权平均型算子,计算得到机组可靠性评价结果。根据北方某风电场10台风电机组的2012年度运行数据,运用所提方法,对这些机组的可靠性进行了评价。对比分析表明,该方法能够更准确地评价机组可靠性水平。
Wind turbine reliability is an important indicator reflecting performances of turhines, whic.h is currently evahmted by the availability of a turbine, hut it might not accurately reflect the level of the unit＇s reliability. Meanwhile, there are some vague natures in the process of the reliability evaluatiun. To solve these problems, by using multiple indicators of the wind turbine, a method based on fnzzy set theory was proposed to evaluation the unit＇s reliability. According to the principle of fuzzy comprehensive evaluation, the turbine＇s mean time hetweeo thilures, mean time to repair, fault numher, power curve consistent rate and availability were used as the evaluation index, and its reliability was finally evaluated. In the process of setting the weights, in order to eliminate the subjective effects of＇ experts, the entropy weight was calculated based on information entropy principle, and the entropy weight and expert weight were synthesized to get the composite weight. Then, by using the weighted average operator, the evaluation result of the reliability was caleulated. According to the operating data of 10 wind turbines in a wind farm of north China during 2012, the reliability of these units were evaluated using the method mentioned ahove. Through eomparison with the conventional method, the results show that this method is more accurate.
出处
《中国电力》
CSCD
北大核心
2014年第5期136-140,共5页
Electric Power
关键词
风电机组
可靠性
模糊评价
熵权
wind turbine reliability fuzzy evaluation entropy weights
