引用本文:卢恩,王一,陈雨果,等.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,2013,41(14):97-101.
LU En,WANG Yi,CHEN Yu-guo,et al.Application of attribute recognition model based on coefficient of entropy to power system peak load regulation scheme evaluation[J].Power System Protection and Control,2013,41(14):97-101
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基于熵权属性识别模型的电网调峰方案评估方法
卢恩1, 王一1, 陈雨果1, 谢敏2, 陈卉灿2, 刘明波2
1.广东电网电力调度控制中心,广东 广州510640;2.华南理工大学电力学院,广东 广州510640
摘要:
现有电网调峰方案的形成很大程度上仍依据运行调度人员的人工经验,主观性强,尚缺乏精细化的方案评估体系。采用系统总发电耗煤量、总购电费用、总SO2排放量作为电力系统调峰方案的三大评估指标,将解决有序分割问题的属性识别模型和信息论中的信息熵理论结合起来,提出基于熵权属性识别模型的电力系统调峰方案评估方法体系。首先建立调峰方案的属性空间并进行有序分割,采用熵理论确定各指标的权值,采用加权和的方式计算调峰方案的属性测度;最后,按照置信度准则,确定该调峰方案的优劣。在算例中,以广东电网为实际应用背景,选取2010年广
关键词:  属性识别模型  熵权  电网调峰方案  评估
DOI:10.7667/j.issn.1674-3415.2013.14.016
分类号:
基金项目:南方电网公司重点项目(K-GD2011-510)
Application of attribute recognition model based on coefficient of entropy to power system peak load regulation scheme evaluation
LU En,WANG Yi,CHEN Yu-guo,et al
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 SO2 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.
Key words:  attribute recognition model  entropy weight  power system peak load regulation scheme  evaluation
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