电力系统保护与控制Issue(14)：97-101,5.
基于熵权属性识别模型的电网调峰方案评估方法
Application of attribute recognition model based on coefficient of entropy to power system peak load regulation scheme evaluation
摘要
Abstract
As the existing power system peak load regulation scheme is designed based on the experience of dispatcher mainly, it has the disadvantages of strong subjectivity, inaccurate scheme evaluation system and so on. Coal consumption, power purchase cost and SO 2 emission are used as power system peak load regulation scheme evaluation indexes. Combined the attribute recognition mode of ordered segmentation problems with the entropy value of information theory, the power system peak load regulation scheme evaluation system is proposed based on the entropy weight attribute recognition model. Firstly, the attribute space of the peak load regulation scheme is set up and partitioned in order. After using entropy theory to determine the evaluation index coefficient, the attribute measurement of peak load regulation scheme can be worked out with weight sum. Finally, by confidence criterion, the investigated scheme is evaluated. In the numerical examples, Guangdong power grid is used as application background, peak load regulation schemes of six typical days are evaluated to testify the proposed evaluation system.关键词
属性识别模型/熵权/电网调峰方案/评估Key words
attribute recognition model/entropy weight/power system peak load regulation scheme/evaluation分类
信息技术与安全科学引用本文复制引用
卢恩,王一,陈雨果,谢敏,陈卉灿,刘明波..基于熵权属性识别模型的电网调峰方案评估方法[J].电力系统保护与控制,2013,(14):97-101,5.基金项目
南方电网公司重点项目 （）
