基于信息熵的电力大用户优先级组合评价  

Combination evaluation of large electric customers’ priority based on entropy

作　　者：牛东晓[1] 李金超[1] 李金颖[1] 

机构地区：[1]华北电力大学工商管理学院,北京102206

出　　处：《电力需求侧管理》2008年第2期16-20,共5页Power Demand Side Management

基　　金：国家自然科学基金资助项目(00610241;国际合作项目)

摘　　要：在开放的电力市场环境下,供电商有必要对电力用户进行优先级评价。为避免单一评价方法的局限性,提出了基于信息熵的组合评价方法。运用关联度、最大偏差、平均绝对偏差3个评价指标对单一评价方法的评价结果进行评价计算,形成多种单一评价方法的评价矩阵,利用信息熵方法计算得到各单一评价方法的权重,构成组合评价模型。实例证明,应用此方法对电力大用户优先级的组合评价是准确有效的。In an open electric power market, power suppliers have to evaluate the electric consumers＇ priority. In order to avoid the limitation of single evaluation method, a combination evaluation method based on entropy is presented to evaluate the priority of large electric customers. This method uses gray correlation degree, maximal deviation and mean absolute deviation to evaluate the performance of the former single evaluation method. Entropy method is used to calculate the weight of single evaluation method. The method is validated by a ease of eombinaton evaluation.

关 键 词：熵权 电力大用户 优先级 组合评价 

分 类 号：F407.61[经济管理—产业经济]