Multi-Attribute Decision Making Model for Customer Evaluation and Selection in Electricity Market

被引：0
|
作者：
Cao Q. [1 ]
Zheng M. [2 ]
Ding Y. [1 ]
Song Y. [1 ]
机构：
[1] College of Electrical Engineering, Zhejiang University, Hangzhou, 310027, Zhejiang Province
[2] College of Energy Engineering, Zhejiang University, Hangzhou, 310027, Zhejiang Province
来源：
Dianwang Jishu/Power System Technology | 2018年 / 42卷 / 01期
关键词：
Analytic hierarchy process; Electricity market; Improved entropy weight method; Improved technique for order preference by similarity to ideal solution; Power customer selection;
D O I：
10.13335/j.1000-3673.pst.2017.2012
中图分类号：
学科分类号：
摘要：
Driven by huge profits of electricity market, competition between electricity retailers becomes increasingly intense. There is a crucial need for a method for prioritizing customers to increase competitiveness of electricity retailers and thereby ensure a healthy and orderly electricity market. This paper presents a customer evaluation model based on multi-attribute decision method. The model proceeds as follows. Firstly, an evaluation index system for prioritizing power customers is developed based on customer characteristics and electricity retailer interests. Secondly, index weights are obtained with analytic hierarchy process along with improved entropy weight method, to reflect opinions of experts and objective quality of different types of data and enable a combined utilization of different types of data. Then, to avoid shortage of technique for order preference by similarity to ideal solution, an improved sorting strategy using absolute ideal solution and vertical projection distance is proposed. Finally, a case study is conducted for different development stages of electricity market. Results show distinct customer prioritizing strategies at different market development stages, and verify effectiveness of the proposed evaluation model. © 2018, Power System Technology Press. All right reserved.
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页码：117 / 125
页数：8
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