Parameter Identification of Comprehensive Load Modeling Based on Improved Genetic Algorithm

2nd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Wei, Lai^1 ; Zhang, Jian^1

Industrial Technology Research Institute, Zhengzhou University, Zhengzhou

450001, China^1

关键词: Adaptive ability;    Calculation accuracy;    Comprehensive loads;    Computational model;    Intelligent analysis;    Load modeling;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/170/4/042122/pdf
DOI  :  10.1088/1755-1315/170/4/042122

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

As the intelligent analysis and calculation of information developing very fast, the algorithms for load model parameter identification are growing fast the same time, these algorithms were aimed at quick convergence, improving calculation accuracy and so on, making the identification for load model parameter being more and more fast and accurate. This paper provides an improved GA with adaptive ability to identify the parameter of comprehensive load modeling. Choosing TVA comprehensive load model as the computational model, and use the improved GA given by this paper to identify the parameter of the model. The computer simulation result shows that the improved GA proposed by this paper has improved the calculation effect, especially has palpable effects on accelerating convergence and shorten the time of identification.