首页 | 本学科首页   官方微博 | 高级检索  
     

电力系统负荷建模和算法的研究及进展
引用本文:李娟,丁坚勇.电力系统负荷建模和算法的研究及进展[J].高电压技术,2008,34(10):2209-2215.
作者姓名:李娟  丁坚勇
作者单位:1. 中国长江电力股份有限公司三峡电厂,宜昌,443133
2. 武汉大学电气工程学院,武汉,430072
摘    要:为了给研究人员提供负荷建模研究及在电力系统分析中具有的重要意义较全面的认识,分析了现有的负荷建模方法,系统地阐述了负荷模型及算法上的进展,它包括在静态负荷方面通过采用连续动态方法,根据负荷电压的变化实时修正负荷模型参数,在临界状态下通过分段多项式模型描述加以改进;在负荷建模方面分析了负荷动特性描述、负荷时变性、模型参数的分散性、负荷模型无功分析和负荷的非线性、变结构特性方面问题解决的进展。结果表明,通过采用上述解决方法,使得负荷模型的精确性和适应性得到了较大程度的提高,从而满足复杂大电力系统的动态行为和安全稳定分析的要求。

关 键 词:负荷建模  模型结构  参数辨识  优化算法  时变性  分散性  非线性变结构

Power System Load Modeling and Parameter Identification Algorithm
LI Juan,DING Jian-yong.Power System Load Modeling and Parameter Identification Algorithm[J].High Voltage Engineering,2008,34(10):2209-2215.
Authors:LI Juan  DING Jian-yong
Affiliation:1.Three Gorges Hydropower Plant of China Yangtze Power Co.,Ltd.,Yichang 443133,China;2.School of Electrical Engineering,Wuhan University,Wuhan 430072,China)
Abstract:To introduce the development on power system load modeling and parameter identification algorithm by the researchers at home and abroad,and to give a comprehensive knowledge of load modeling,the progress of load models and their algorithm is reviewed.Meanwhile,the parameter identification for load modeling is adjusted for the static load,it is pointed out that the load model parameters should be improved continuously with the changing of load voltage according to subsection polynomial model in critical states.The load dynamics characteristics,load time-variation,dispersions of model parameters,load reactive characteristics,load nonlinear and variable structure characteristics in load models are analyzed for load modeling.Results show that with development on parameter identification methods,accuracy and adaptability of load modeling are promoted.So that all the improvements meet great complex power system's dynamic conduct and stabilization demands.
Keywords:load modeling  model structure  parameter identification  optimal algorithm  time-variation  dispersions of model parameters  nonlinear and variable structure characteristics
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号