Research Of Power System Load Model Based on Improved Genetic Programming

被引：0
作者：
Wang, Jun [1 ]
Zhang, Jian [1 ]
机构：
[1] Zhengzhou Univ, Sch Elect Engn, Zhengzhou 450000, Peoples R China
来源：
PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON CIVIL, TRANSPORTATION AND ENVIRONMENT | 2016年 / 78卷
关键词：
power system; load model; genetic programming; automatic modeling;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The model of the power system load has an important impact on power flow calculation, stability analysis. Compared with the traditional load modeling method to determine the structure further identification of the model parameters, using the genetic programming to load modeling do not have to preset the model structure. It automatically generates a different function from the input and output variables. According to their fitness looking for the most accurate fit function. In this paper, using the improved method of GP to load modeling. Precision and efficiency has been improved by optimize the adaptation of the calculation process. The effectiveness and feasibility of the improved genetic programming method is verified by compare with the traditional load modeling method.
引用
收藏
页码：768 / 771
页数：4
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