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基于随机森林算法的电力系统暂态稳定性评估

叶圣永 王晓茹 刘志刚 钱清泉

叶圣永, 王晓茹, 刘志刚, 钱清泉. 基于随机森林算法的电力系统暂态稳定性评估[J]. 西南交通大学学报, 2008, 21(5): 573-577.
引用本文: 叶圣永, 王晓茹, 刘志刚, 钱清泉. 基于随机森林算法的电力系统暂态稳定性评估[J]. 西南交通大学学报, 2008, 21(5): 573-577.
YE Shengyong, WANG Xiaoru, LIU Zhigang, QIAN Qingquan. Transient Stability Assessment Based on Random Forest Algorithm[J]. Journal of Southwest Jiaotong University, 2008, 21(5): 573-577.
Citation: YE Shengyong, WANG Xiaoru, LIU Zhigang, QIAN Qingquan. Transient Stability Assessment Based on Random Forest Algorithm[J]. Journal of Southwest Jiaotong University, 2008, 21(5): 573-577.

基于随机森林算法的电力系统暂态稳定性评估

基金项目: 

教育部霍英东青年教师基金资助项目(101060)

四川省杰出青年基金项目(07ZQ026-012)

详细信息
    作者简介:

    叶圣永(1974- ),男,博士研究生,研究方向为数据挖掘、电力系统稳定与控制,E-mail:yeshengyong410@home.swjtu.edu.cn;钱清泉(1936- ),男,教授,博士生导师,研究方向为工业临控、铁道电气化和自动化、电力系统自动化.E-mail:liuzg_cd@126.com

    叶圣永(1974- ),男,博士研究生,研究方向为数据挖掘、电力系统稳定与控制,E-mail:yeshengyong410@home.swjtu.edu.cn;钱清泉(1936- ),男,教授,博士生导师,研究方向为工业临控、铁道电气化和自动化、电力系统自动化.E-mail:liuzg_cd@126.com

Transient Stability Assessment Based on Random Forest Algorithm

  • 摘要: 利用随机森林算法,通过组合多棵基于随机向量的决策树对电力系统的暂态稳定性分类,提出了一种暂态稳定评估模型.在IEEE 16机和IEEE 50机测试系统进行的仿真验证了该模型对暂态稳定评估的有效性,其评估性能较经典决策树算法、人工神经网络、支持向量机和K最近邻方法均有提高.

     

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出版历程
  • 收稿日期:  2007-01-09
  • 刊出日期:  2008-10-25

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