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作 者:王玉梅[1] 刘婧岩 李自强 WANG Yumei;LIU Jingyan;LI Ziqiang(School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454000,China;XJ Electric Co.,Ltd.,Xuchang,461000 China)
机构地区:[1]河南理工大学电气工程与自动化学院,河南焦作454000 [2]许继电气股份有限公司,河南许昌461000
出 处:《电子科技》2021年第7期31-36,78,共7页Electronic Science and Technology
基 金:河南省科技攻关项目(112102210004);河南省产学研项目(132107000027)。
摘 要:针对煤矿电能质量评估中权重分配与评估准确性问题,文中提出了一种基于改进熵权法的煤矿电能质量评估方法。在对煤矿中影响电能质量的因素进行分析的基础上,建立评估指标体系,并对熵权法在熵值都趋近于1时熵权分配不合理问题进行修正。将改进熵权法与AHP标度扩展法相结合对指标权重进行计算,弥补了单一方法的不足,提高了定权的准确性。采用概率统计与模糊数学相融合的方法对指标及权重进行综合评判,实现了对煤矿电能质量的综合评估。实例分析表明该方法有利于区分电能质量等级,并可对电能质量进行定性和定量评价。In view of the problem of weight distribution and evaluation accuracy in coal mine power quality evaluation,a method of coal mine power quality evaluation based on improved entropy weight method is proposed in the current study.The factors affecting the power quality in coal mines are analyzed,and an evaluation index system is established.The improved entropy weight method and AHP scale expansion method are combined to calculate the index weight,which overcomes the shortcomings of the single method and improves the accuracy of the weight determination.Probability statistics and fuzzy mathematics are utilized to comprehensively evaluate indicators and weights,and a comprehensive assessment of the power quality in coal mine is achieved.The example analysis shows that the proposed method is helpful to distinguish the power quality grade,and it can qualitatively and quantitatively evaluate the power quality.
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