Smart electricity utilization(SEU) is one of the most important components in a smart grid. It is crucial to evaluate efficiency, safety, and demand response capability of electricity users to achieve the smart use of...Smart electricity utilization(SEU) is one of the most important components in a smart grid. It is crucial to evaluate efficiency, safety, and demand response capability of electricity users to achieve the smart use of electricity.The analytic hierarchy process(AHP) uses subjective criteria to determine index weights in multi-criteria decisionmaking problems, while the entropy method provides objectivity in determining index weights. Taking into account the uncertainty of expert scoring and user data, a hybrid interval analytic hierarchy process(IAHP) and interval entropy(IE) method is proposed for electricity user evaluation(EUE). Specifically, in the proposed method,electricity users are evaluated in terms of energy efficiency,safety monitoring, and demand response. The weights of EUE indices are calculated under uncertainty. The proposed approach derives subjective weights of EUE indicesby the IAHP with expert scoring as input data, and determines objective weights of EUE indices by the IE method with user data as inputs. In order to obtain the optimal combined index weights, the two weights are normalized by a selected weight factor. Numerical case studies illustrate the effectiveness and advantages of the proposed approach, which combines subjective and objective information to derive the optimal combined index weights.展开更多
基金supported by the National Natural Science Foundation of China (No. NSFC 51361135704, No. 51377115)the key project of the National Social Science Foundation (No. 12&ZD208)Tianjin Research Program of Application Foundation and Advanced Technology (No. 14JCYBJC21100)
文摘Smart electricity utilization(SEU) is one of the most important components in a smart grid. It is crucial to evaluate efficiency, safety, and demand response capability of electricity users to achieve the smart use of electricity.The analytic hierarchy process(AHP) uses subjective criteria to determine index weights in multi-criteria decisionmaking problems, while the entropy method provides objectivity in determining index weights. Taking into account the uncertainty of expert scoring and user data, a hybrid interval analytic hierarchy process(IAHP) and interval entropy(IE) method is proposed for electricity user evaluation(EUE). Specifically, in the proposed method,electricity users are evaluated in terms of energy efficiency,safety monitoring, and demand response. The weights of EUE indices are calculated under uncertainty. The proposed approach derives subjective weights of EUE indicesby the IAHP with expert scoring as input data, and determines objective weights of EUE indices by the IE method with user data as inputs. In order to obtain the optimal combined index weights, the two weights are normalized by a selected weight factor. Numerical case studies illustrate the effectiveness and advantages of the proposed approach, which combines subjective and objective information to derive the optimal combined index weights.
