Demand Response Benefit Evaluation of Integrated Energy System Based on Combination Weighting and Gray Cloud Model
Considering that the current research on integrated energy system lacks an all-round demand response quan-titative evaluation scheme,which makes it difficult to comprehensively evaluate the demand response benefit at the opti-mal operation level,we proposed a comprehensive evaluation method of demand response benefit based on improved AHP group decision making-CRITIC combination weighting and gray cloud model.Firstly,we constructed a demand response benefit evaluation index system from three dimensions:comprehensive energy efficiency,socio-economy and demand-side interaction.Secondly,we used the exponential scaling with better consistency and weight fitting to con-struct the judgment matrix to reduce assignment error.We determined the subjective weights by AHP group decision-making method,so as to weaken the influence of deviation from subjective extreme values on weight.After objective weight was determined by CRITIC method,the combination weight model based on minimum Euclidean distance was proposed,and optimal combination weight was obtained by nonlinear programming.In view of the fuzziness of evalua-tion grade information as well as randomness of membership grade,the normal gray cloud whitening-weight model was used to determine indicator classification grade and scenario score.Finally,taking an integrated energy system in north China for example,four operation scenarios were set up according to the way users participate in demand response,and we analyzed the effect of various demand responses on system operation.The result shows that the proposed index sys-tem and evaluation method are scientific and effective.
integrated energy systemdemand-side responsecomprehensive evaluationthe AHP group decision making methodthe CRITIC methodminimum Euclidean distancenormal gray cloud whitening-weight model
万方数据
维普
