摘要
文中针对配电系统电能质量综合评估存在的评估指标权重分配过于主观或客观的问题,提出一种基于改进雷达图法的配电系统电能质量评估方法。该方法利用最小偏差组合权重法计算各评估指标的最优组合权重。并在传统雷达图的基础上对各指标轴间夹角值的确定和特征向量的选取两方面做了进一步的改进。首先采用扇形区域取代原始的三角形区域,并利用最小偏差组合权重法计算各指标轴间夹角值。其次选择新的特征向量构造评估函数对配电系统电能质量进行综合评估。最后通过对某钢铁厂棒材变电站10kV配电系统电能质量进行综合评估,验证了该方法的可行性和合理性。较传统雷达图而言,改进雷达图法解决了传统雷达图法中各指标间信息共用以及评估结果不唯一的问题,使评估结果更加准确合理。
Aiming at the problem that the weight allocation of the evaluation index is far too subjective or objective in the power quality comprehensive evaluation of the distribution system, this paper proposes one power quality evaluation method of the distribution system based on improving radar chart method. The method applies the minimum deviation to calculate the optimal combination weight of each evaluation index. Based on the traditional radar chart, the determination of the angle value between the axes of each index and the selection of the eigenvector are further improved. Firstly, the sector region is used to replace the original triangle region, and the minimum deviation combination weight method is used to calculate the angle between the axes. Secondly, a new eigenvector evaluation function is selected to evaluate the power quality of distribution system. Finally, the feasibility and rationality of the method are verified by the comprehensive evaluation of the power quality of the 10 kV distribution system in a steel bar substation. Compared with the traditional radar chart, the improved one solves the problem of information-sharing among the indicators in the traditional radar chart and the multiple evaluation results, making the evaluation results more accurate and reasonable.
作者
程志友
朱唯韦
陶青
王淼
胡正杨
Cheng Zhiyou;Zhu Weiwei;Tao Qing;Wang Miao;Hu Zhengyang(Power Quality Engineering Research Center,Ministry of Education,Hefei 230601,China;School of Electronics and Information Engineering,Anhui University,Hefei 230601,China)
出处
《电测与仪表》
北大核心
2019年第14期34-39,67,共7页
Electrical Measurement & Instrumentation
基金
国家自然科学基金资助项目(61672032)
安徽省科技攻关项目(1604a0702016)
关键词
电能质量
配电系统
最小偏差组合权重
雷达图
评估函数
power quality
power distribution system
combination weight with the minimum deviation
radar chart
evaluation function