期刊文献+

线性连续系统动态负荷模型的参数辨识与应用 被引量:3

Parameter estimation and application of dynamic load model with linear continuous-time signal form
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摘要 目前在电力负荷建模中非机理负荷模型较多地采用离散系统模型或差分方程形式的模型,而电力系统数字仿真中更需要连续系统的模型。研究了作用函数不含导数项和含有导数项两种情况下的线性连续系统微分方程形式的负荷建模方法,介绍了模型参数辨识的直接优化算法,该模型对于描述线性动态负荷或小扰动下的非线性动态负荷的行为,具有一定程度的普适性。介绍了该动态负荷模型与电力系统分析综合程序PSASP的自定义连接方法。通过动模实验数据建模和仿真计算,验证了模型参数辨识算法以及模型与电力系统分析综合程序接口的有效性。 The load models with discrete-time signal form or difference equation form are widely used in non mechanics load modeling currently. But the load model with continuous-time signal form is specially required in power system digital simulation. For two cases which the differential item is included or not in the excitation function, the linear continuous-time signal system load models with the form of differential equation are studied respectively in this paper. The direct optimization algorithm for parameter estimation is introduced. These models have a wide range of applications in describing the characteristics of linear dynamic load and non linear dynamic load under small signal turbulence. The method for linear continuous-time signal system model connected to the power system analysis software package (PSASP) by using the user definition function is described. The validity of proposed parameter estimation algorithm is proved by the examples of load modeling based on the measurement data, and the interface also proves to be valid for the model connected to PSASE
作者 章健 沈峰
出处 《继电器》 CSCD 北大核心 2007年第15期18-23,共6页 Relay
关键词 负荷建模 动态负荷 线性连续系统 参数辨识 load modeling dynamic load linear continuous-time signal system parameter identification
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参考文献13

  • 1张鹏飞,罗承廉,孟远景,鄢安河,张毅明,付红军,张永斌,张景超,李奎.动态负荷模型比例对电网稳定性影响分析[J].继电器,2006,34(11):24-26. 被引量:17
  • 2IEEE Task Force on Load Representation for Dynamic Performance.Load Representation for Dynamic Performance Analysis[J].IEEE Trans on Power Systems,1993,8(2):472-482.
  • 3IEEE Task Force on Load Representation for Dynamic Performance.Bibliography on Load Models for Power Flow and Dynamic Performance Simulation[J].IEEE Trans on Power Systems,1995,10(1):523-538.
  • 4IEEE Task Force on Load Representation for Dynamic Performance.Standard Load Models for Power Flow and Dynamic Performance Simulation[J].IEEE Trans on Power Systems,1995,10(3):1302-1313.
  • 5方崇智 萧德云.过程辨识[M].北京:清华大学出版社,1983年..
  • 6金群,李欣然,刘艳阳,陈辉华,唐外文.一种综合改进型遗传算法及其在综合负荷建模中的应用[J].继电器,2006,34(10):18-22. 被引量:3
  • 7Iliceto F,Capasso A.Dynamic Equivalents of Asynchronous Motor Loads in System Stability Studies[J].IEEE Trans on PAS,1974,93:1650-1659.
  • 8Abdel Hakim M M,,Berg G J.Dynamic Single-Unit Representation of Induction Motor Groups[J].IEEE Trans on PAS,1976,95(1):155-165.
  • 9Karlsson D,Hill D J.Modeling and Identification of Nonlinear Dynamic Loads in Power Systems[J].IEEE Trans on Power Systems,1994,9(1):159-166.
  • 10贺仁睦,魏孝铭,韩民晓.电力负荷动特性实测建模的外推和内插[J].中国电机工程学报,1996,16(3):151-154. 被引量:46

二级参考文献15

  • 1陈凤,李欣然,陈辉华,唐外文,刘艳阳.电动机模型结构及参数对暂态稳定仿真的影响[J].电力自动化设备,2004,24(8):29-33. 被引量:29
  • 2李欣然,刘艳阳,陈辉华,唐外文,李培强.遗传算法与传统优化方法应用于电力负荷建模的比较研究[J].湖南大学学报(自然科学版),2005,32(2):29-32. 被引量:11
  • 3韩祯祥,文福拴.模拟进化优化方法简介[J].电力系统自动化,1995,19(12):5-10. 被引量:12
  • 4玄光男 程润伟.遗传算法与工程设计[M].北京:科学出版社,2000..
  • 5李敏强 等.遗传算法的基本理论与应用[M].北京:科学出版社,2003..
  • 6Goldberg D E, Reading M S. Genetic Algorithms in Search, Optimization and Machine Learning [ M ]. USA : Addison-Wesley Publishing Company, Inc, 1989.
  • 7Rudolph G. Convergence Analysis of Canonical Genetic Algorithms[ J]. IEEE Trans on Neural Networks, 1994,5( 1 ) :96-101.
  • 8QI Xiao-feng. Theory Analysis of Evolution Algorithms with an Infinite Population Size in Continuous Space, Part 2 : Analysis of the Diversification Role of Crossover [ J ].IEEE Trans on Neural Network, 1994,5 ( 1 ) : 120-129.
  • 9Kunder P.电力系统稳定与控制[M].北京:中国电力出版社,2001.
  • 10中国电力科学研究院.电力系统分析综合程序基础数据库用户手册[Z].北京:中国电力科学研究院,2001.

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