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年广东电网六大典型日的调峰方案为评估对象,对所提出的调峰方案评估体系进行了验证。
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 S02 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.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2013年第14期97-101,共5页
Power System Protection and Control
基金
南方电网公司重点项目(K-GD2011-510)
关键词
属性识别模型
熵权
电网调峰方案
评估
attribute recognition model
entropy weight
power system peak load regulation scheme
evaluation
