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基于SVR回归的电力系统暂态稳定隐式梯形算法的改进
引用本文:丁卫,王建全.基于SVR回归的电力系统暂态稳定隐式梯形算法的改进[J].江南大学学报(自然科学版),2008,7(2):187-190.
作者姓名:丁卫  王建全
作者单位:浙江大学,电气工程学院,浙江,杭州310027
摘    要:针对用传统隐式梯形积分法分析电力系统暂态稳定时存在计算速度慢的问题,提出了一种基于回归支持向量机技术的改进方法.改进后的方法不仅保持了原有的功角预测精度,而且明显减少了总的迭代次数,有效地提高了计算速度.这种优化结果有利于现代大电网的实时控制.

关 键 词:暂态稳定  功角预测  回归支持向量机  隐式梯形积分法  实时控制
文章编号:1671-7147(2008)02-0187-04
修稿时间:2006年7月10日

Improvement in Hiding-Trapezium Method for Electric Power System Transient Stability Based on the SVR Technology
DING Wei,WANG Jian-quan.Improvement in Hiding-Trapezium Method for Electric Power System Transient Stability Based on the SVR Technology[J].Journal of Southern Yangtze University:Natural Science Edition,2008,7(2):187-190.
Authors:DING Wei  WANG Jian-quan
Abstract:To solove the problem of slow calculating speed in analysing electric power system transient stability by the traditional hiding-trapezium method,the paper comes up with an improved method based on the SVR technology.The optimized method can not only maintain the intrinsic forecasting precision of power angle,but also largely reduce the iterative times and effectively accelerate the calculation.The improved method is very useful for real-time control of transient stability in modern large grid.
Keywords:transient stability  power angle prediction  support vector regression  hiding-trapezium integral method  real-time control
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