基于有序加权平均算子的电能质量评价方法

Power quality evaluation method based on orderly weighted average operator

针对电能质量评价过程中主观因素影响过高的问题,提出了一种基于有序加权平均算子的电能质量综合评价算法。基于耦合主观赋权与客观赋权算法,从时间域和评价指标这两个维度出发,建立了电能质量立体评价方法。通过所建立的指标域电能质量评价模型,对各时间点电能质量较差的部分减分,对较好的部分加分,得到马太效应收益亏损因子,并利用积分法得到评价指标的阶段性评价值;再引入时间域权重,使用线性目标规划模型得出考察周期内各项指标的评价值;最终利用有序加权平均算子对所有初级评价值进行有序加权求和,得到电能质量综合评价值。应用实例分析表明,该评价方法通过有序加权平均能有效区分不同评价对象的质量。

A comprehensive algorithm based on orderly weighted average operator is proposed for power quality evaluation,which is proposed to overcome the shortage of excessive subjective factors in the process.By coupling the subjective weighting and objective weighting algorithms,a stereoscopic method for power quality evaluation is established according to the two dimensions of time domain and evaluation index.By establishing the power quality evaluation model based on indicators,the worse power quality at each point is decreased,and the better part is increased.Then the Matthew effect factor and the evaluation value based on indicators are obtained.By introducing the weights in time domain,use linear target programming model to calculate the evaluation value of each index in the investigation period.Finally,using the orderly weighted average operator,sum all the primary evaluation values to obtain the comprehensive evaluation value of power quality.The test examples show that this method can evaluate the power quality effectively and discriminate evaluation objects clearly.