全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
电网技术  2009 

电力系统暂态稳定概率评估方法

, PP. 19-23

Keywords: 暂态稳定,概率评估,非序贯蒙特卡罗模拟,支持向量机,径向基核函数

Full-Text   Cite this paper   Add to My Lib

Abstract:

提出了一种基于蒙特卡罗-支持向量机的电力系统暂态稳定概率评估方法。首先构建了一组包含电力系统稳定和故障信息的原始特征,经特征选择降维后作为支持向量机的输入,在训练集上进行10折交叉验证,研究了4种支持向量机,其中径向基核支持向量机具有优良的评估性能;然后采用非序贯蒙特卡罗模拟方法选择随机因素,径向基核支持向量机加速暂态稳定评估过程,利用累计分类结果计算电力系统暂态不稳定概率。新英格兰39节点测试系统算例表明,该方法能大幅减少模拟时间,满足暂态稳定概率评估的精度要求。

References

[1]  Zhao Xia,Zhou Jiaqi,Hu Xiaozheng,et al.Deterministic and probabilistic approaches in transient stability studies [J].Automation of Electric Power Systems,2006,30(6):100-103 (in Chinese).
[2]  周玉兰,王俊永,舒治淮,等.2002年全国电网继电保护与安全自动装置运行情况[J].电网技术,2003,27(9):55-60.
[3]  Zhou Yulan,Wang Junyong,Shu Zhihuai,et al.Statistic and analysis of operation situation of protective relaying and automation devices of power systems in China in 2002 [J].Power System Technology,2003,27(9):55-60(in Chinese).
[4]  许涛.电力系统安全稳定的智能挖掘[D].北京:华北电力大学, 2004.
[5]  郭永基.电力系统可靠性分析[M].北京:清华大学出版社,2003:19-20.
[6]  Moulin L S,DA S A,El-sharkawi M A,et al.Support vector machines for transient stability analysis of large-scale power systems[J].IEEE Transactions on Power Systems,2004,19(2):818-825.
[7]  Ferreira W P,Silveira M D C G,Lotufo A P,et al.Transient stability analysis of electric energy systems via a fuzzy art-artmap neural network[J].Electric Power Systems Research,2006,76(6-7):466-475.
[8]  Lotufo A D P,Lopes M L M,Minussi C R.Sensitivity analysis by neural networks applied to power systems transient stability [J].Electric Power Systems Research,2007,77(7):730-738.
[9]  王德林.电力系统连续体机电波模型与机电扰动传播研究[D].成都:西南交通大学,2007.
[10]  许涛,贺仁睦,王鹏,等.基于统计学习理论的电力系统暂态稳定评估[J].中国电机工程学报,2003,23(11):51-55.
[11]  吴琼,杨以涵,刘文颖.基于最小二乘支持向量机的电力系统暂态稳定在线预测[J].中国电机工程学报,2007,27(25):38-43.
[12]  Wu Qiong,Yang Yihan,Liu Wenying.Electric power system transient stability on-line prediction based on least squares support vector machine[J].Proceedings of the CSEE,2007,27(25):38-43(in Chinese).
[13]  宋方方,毕天姝,杨奇逊.基于暂态能量变化率的电力系统多摆稳定性判别新方法[J].中国电机工程学报,2007,27(16):13-18.
[14]  Song Fangfang,Bi Tianshu,Yang Qixun.Multi-swing stability assessment approach based on variation rate of transient energy for power systems[J].Proceedings of the CSEE,2007,27(16):13-18(in Chinese).
[15]  常辉,刘文颖,行舟,等.电力系统暂态稳定计算的在线应用[J].电网技术,2007,31(13):54-58.
[16]  Chang Hui,Liu Wenying,Xing Zhou,et al.Online application of power system transient stability computation[J].Power System Technology,2007,31(13):54-58(in Chinese).
[17]  辛焕海,甘德强,邱家驹,等.一种包含不确定参数的暂态稳定分析方法[J].中国电机工程学报,2006,26(20):15-21.
[18]  Xin Huanhai,Gan Deqiang,Qiu Jiaju,et al.A method for analyzing the impact of parameter uncertainties on transient stability [J].Proceedings of the CSEE,2006,26(20):15-21(in Chinese).
[19]  叶圣永,王晓茹,刘志刚,等.电力系统暂态稳定评估组合模型的比较[J].电网技术,2008,32(23):19-23.
[20]  Ye Shengyong,Wang Xiaoru,Liu Zhigang,et al.Comparison research on combined models for power system transient stability assessment [J].Power System Technology,2008,32(23):19-23(in Chinese).
[21]  李大虎,曹一家.基于PMU和混合支持向量机网络的电力系统暂态稳定性分析[J].电网技术,2006,30(9):46-52.
[22]  Li Dahu,Cao Yijia.Power system transient stability analysis based on PMU and hybrid support vector machine[J].Power System Technology,2006,30(9):46-52(in Chinese).
[23]  李文沅.电力系统风险评估:模型、方法和应用[M].周家启,卢继平,译.北京:科学出版社,2006:225-229.
[24]  李文沅,卢继平.暂态稳定概率评估的蒙特卡罗方法[J].中国电机工程学报,2005,25(10):18-23.
[25]  Li Wenyuan,Lu Jiping.Monte Carlo method for probabilistic transient stability assessment[J].Proceedings of the CSEE,2005,25(10):18-23(in Chinese).
[26]  鞠平,马大强.电力系统的概率稳定性分析[J].电力系统自动化, 1990,14(3):18-23.
[27]  Ju Ping,Ma Daqiang.Probabilistic analysis of power system stability [J].Automation of Electric Power Systems,1990,14(3):18-23(in Chinese).
[28]  崔凯,房大中,钟德成.电力系统暂态稳定性概率评估方法研究[J].电网技术,2005,29(1):44-49.
[29]  Cui Kai,Fang Dazhong,Zhong Decheng.Study on probabilistic assessment method for power system transient stability[J].Power System Technology,2005,29(1):44-49(in Chinese).
[30]  赵霞,周家启,胡小正,等.暂态稳定性分析中的确定性方法和概率性方法[J].电力系统自动化,2006,30(6):100-103.
[31]  Billinton R,Li W.Reliability assessment of electric power systems using Monte Carlo methods[M].New York:Plenum Press,1994:60-61.
[32]  黄辉,舒乃秋,李自品,等.基于信息融合技术的电力系统暂态稳定评估[J].中国电机工程学报,2007,27(16):19-23.
[33]  Huang Hui,Shu Naiqiu,Li Zipin,et al.Power system transient stability assessment based on information fusion technology [J].Proceedings of the CSEE,2007,27(16):19-23(in Chinese).
[34]  马骞,杨以涵,刘文颖,等.多输入特征融合的组合支持向量机电力系统暂态稳定评估[J].中国电机工程学报,2005,25(6):17-23.
[35]  Ma Qian,Yang Yihan,Liu Wenying,et al.Power system transient stability assessment with combined SVM method mixing multiple input features[J].Proceedings of the CSEE,2005,25(6):17-23(in Chinese).
[36]  刘艳,顾雪平,李军.用于暂态稳定评估的人工神经网络输入特征离散化方法[J].中国电机工程学报,2005,25(15):56-61.
[37]  Liu Yan,Gu Xueping,Li Jun.Discretization in artificial neural network used for transient stability assessment[J].Proceedings of the CSEE,2005,25(15):56-61(in Chinese).
[38]  Hall M A.Correlation-based Feature Selection for Machine Learning[D].New Zealand:The University of Waikato,1998.
[39]  Witten I H,Frank E.Data mining:practical machine learning tools and techniques[M].2nd edition.Singapore:Elsevier,2005:365-368.
[40]  Vapnik.统计学习理论的本质[M].张学工译.北京:清华大学出版社,2000:96-98.
[41]  Christopher J C B.A tutorial on support vector machines for pattern recognition [J].Data Mining and Knowledge Discovery,1998,2(2):121-167.
[42]  Xu Tao,He Renmu,Wang Peng,et al.Power system transient stability assessment based on statistical learning theory[J].Proceedings of the CSEE,2003,23(11):51-55(in Chinese).

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133