An optimal combination weights method considering both subjective and objective weight information in power quality evaluation

Abstract

Power Quality information is not only an important part of AMI (Advanced Metering Infrastructure) in smart grid but also is an important part of technical support system of the electricity market, so the power quality monitoring and evaluation is necessary of smart grid development and operation of power market. based on subjective weighting method (analytic hierarchy process, An expanded least deviations algorithm has been used to combine the multiple expert judgment matrixes to get the subjective weight vector in AHP) and objective weighting methods(variation coefficient method has been used to get the objective weight vector), an optimal combination determining weights method resulting in consistency between subjective and objective evaluation in the least squares sense is present. then bring out a improved fuzzy synthetic evaluation method based on reliability code. A new hierarchy model for power quality evaluation is presented to quantify and evaluate the power quality. Case results clearly show that the proposed method is attractive and effective. © 2011 Springer-Verlag Berlin Heidelberg.