基于偏差熵的低压电力用户信用组合评价研究

The research on credit combination evaluation for low-voltage power users based on deviation entropy

低压电力用户在电力用户中占主要部分.对低压电力用户进行信用评价,可以帮助电力企业有效预测并规避电费风险.针对电力用户信用评价单一方法不能完全客观反映用户实际情况、且传统组合评价方法存在方法间相容性差的缺点,提出了一种基于偏差熵的低压电力用户信用组合评价方法.一方面使用偏差量化单一评价方法和组合评价方法间评价结果的误差,以确保组合方法的组合偏差最小;另一方面,使用偏差熵量化组合方法本身的相容性,以确保组合方法的相容性最大.实验证明该方法是有效可行的.

Low voltage power users are the main part of power users.Credit evaluation of low-voltage power users can help power enterprises effectively predict and avoid the risk of electricity charges.In view of the fact that a single credit evaluation method of power user can not reflect the actual situation of users completely,and that the traditional combination evaluation methods have the disadvantage of poor compatibility between methods,this paper proposes a combination evaluation approachfor low-voltage power user based on deviation entropy.On the one hand,our method uses deviation to quantify the error of evaluation results between single evaluation method and combination evaluation method to ensure the minimum deviation.On the other hand,our methoduses deviation entropy to quantify the compatibility of combination evaluation method itselfto ensure the maximum compatibility.Experiments show that our method is effective and feasible.