丁军策,蔡泽祥,王克英．基于广域测量系统的状态估计研究综述[J]．电力系统自动化,2006,30(7)：98-103．Ding Junce,CaiZexiang,Wang Keying．An overview of state estimation based on wide-area measurement system[J]．Automation of Electric Power Systems,2006,30(7)：98-103(in Chinese)．
[3]
Schweppe F C,Wildes J,Rom D B．Power system static-state estimation,part I’III[J]．IEEE Trans on Power Apparatus and Systems,1970,89(1)：120-135．
[4]
刘辉乐,刘天琪,黄志华．基于Kalman滤波原理的电力系统动态状态估计的研究综述[J]．继电器,2005,32(20)：62-66．Liu Huile,Liu Tianqi,Huang Zhihua．Research on dynamic state estimation based on Kalman theory in power system[J]．Relay,2005,32(20)：62-66(in Chinese)．
[5]
黄姝雅,刘天琪,陈绩．动态状态估计中PMU配置的离散粒子群优化算法[J]．电网技术,2006,30(24)：68-72．Huang Shuya,Liu Tianqi,Chen Ji．Discrete particle swarm optimization algorithm for phasor measurement unit placement in dynamic state estimation[J]．Power System Technology,2006,30(24)：68-72(in Chinese)．
[6]
卫志农,孙国强,庞博．无迹卡尔曼滤波及其平方根形式在电力系统动态状态估计中的应用[J]．中国电机工程学报,2011,31(16)：74-80．Wei Zhinong,Sun Guoqiang,Pang Bo．Application of UKF and SRUKF to power system dynamic state estimation[J]．Proceedings of the CSEE,2011,31(16)：74-80(in Chinese)．
[7]
Debs A S,Larson R．A dynamic estimator for tracking the state of a power system[J]．IEEE Transactions onPower Apparatus and Systems,1970(7)：1670-1678．
[8]
贺觅知．基于卡尔曼滤波的电力系统动态状态估计算法研究[D]．成都：西南交通大学,2006．
[9]
张伯明,王世缨,相年德．电力系统实时运行状态的估计和预报[J]．中国电机工程学报,1991,11(S)：68-74．Zhang Boming,Wang Shiying,Xiang Niande．Estimation and forcasting of real-time power system operation states[J]．Proceedings of the CSEE,1991,11(S)：68-74(in Chinese)．
[10]
刘辉乐,刘天琪,彭锦新．基于PMU的分布式电力系统动态状态估计新算法[J]．电力系统自动化,2005,29(4)：34-39．Liu Huile,Liu Tianqi,PengJinxin．New distributed power system dynamic state estimation algorithm based on PMU[J]．Automation of Electric Power Systems,2005,29(4)：34-39(in Chinese)．
[11]
李虹,李卫国,毕天姝,等．基于WAMS的电力系统实时状态估计和预报[J]．电力系统自动化,2009,33(16)：35-39．Li Hong,Li Weiguo,Bi Tianshu,et al．Power system real-time state estimation and prediction based on WAMS[J]．Automation of Electric Power Systems,2009,33(16)：35-39(in Chinese)．
[12]
Mandal J K,Sinha A K,Roy L．Incorporating nonlinearities of measurement function in power system dynamic state estimation[J]．IEEEProc Generation Transmission and Distribution,1995,142(3)：289-296．
[13]
Huang S J,Shih K R．Dynamic-state-estimation scheme including nonlinear measurement function considerations[J]．IEEE ProcGeneration Transmission and Distribution,2002,149(6)：673-678．
[14]
毕天姝,陈亮,薛安成,等．考虑调速器的发电机动态状态估计方法[J]．电网技术,2013,37(12)：3433-3438．Bi Tianshu,Chen Liang,XueAncheng,et al．A dynamic state estimation method considering speed governors[J]．Power System Technology,2013,37(12)：3433-3438(in Chinese)．
[15]
Gomez-Quiles C,de la Villa Jaen A,Gomez-Exposito A．A factorized approach to WLS state estimation[J]．IEEE Trans on Power System,2011,26(3)：1724-1732．
[16]
Gomez-Exposito A,Gomez-Quiles C,de la Villa Jaen A．Bilinear power system state estimation[J]．IEEE Trans on Power Systems,2012, 27(1)：493-501．
[17]
Chen Q,Chen Y,Ma J,et al．A novel linear dynamic state estimation approach based on exactly linear measurement equations[C]//Hong Kong：2014 International Conference on Electrical and Electronic Engineering．
[18]
卓亮,陈利跃,何星．基于混合量测的动态状态估计算法研究[J]．控制工程,2013,20(1)：155-157．Zhuo Liang,Chen Liyue,HeXing．Study for mixed measurement-based dynamic state estimation algorithm[J]．Control Engineering of China,2013,20(1)：155-157(in Chinese)．
[19]
占荣辉,张军．非线性滤波理论与目标跟踪应用[M]．北京：国防工业出版社,2013：40-46．
[20]
李大路,李蕊,孙元章．混合量测下基于UKF的电力系统动态状态估计[J]．电力系统自动化,2010,34(17)：17-21．Li Dalu,Li Rui,Sun Yuanzhang．Power system dynamic state estimation with mixed measurements based on UKF[J]．Automation of Electric Power Systems,2010,34(17)：17-21(in Chinese)．
[21]
李强,周京阳,于尔铿,等．基于混合量测的电力系统状态估计混合算法[J]．电力系统自动化,2006,29(19)：31-35．Li Qiang,Zhou Jingyang,Yu Erkeng,et al．A hybrid algorithm for power system state estimation based on PMU measurement and SCADA measurement[J]．Automation of Electric Power Systems,2006,29(19)：31-35(in Chinese)．
[22]
卫志农,李阳林,郑玉平．基于混合量测的电力系统线性动态状态估计算法[J]．电力系统自动化,2007,31(6)：39-43．Wei Zhinong,Li Yanglin,ZhengYuping．A mixed measurement-based linear dynamic state estimation algorithm for power systems[J]．Automation of Electric Power Systems,2007,31(6)：39-43(in Chinese)．
[23]
卫志农,周奕,李阳林,等．基于信息融合理论的动态状态估计探讨[J]．电力系统自动化,2008,32(4)：103-107．Wei Zhinong,Zhou Yi,Li Yanglin,et al．Discussion on dynamic state estimation based on information fusion theory[J]．Automation of Electric Power Systems,2008,32(4)：103-107(in Chinese)．
[24]
Valverde G,Terzija V．UnscentedKalman filter for power system dynamic state estimation[J]．IET Generation,Transmission& Distribution,2011,5(1)：29-37．
[25]
赵洪山,田甜．基于自适应无迹卡尔曼滤波的电力系统动态状态估计[J]．电网技术,2014,38(1)：188-192．Zhao Hongshan,TianTian．Dynamic state estimation for power system based on an adaptive unscented Kalman filter[J]．Power System Technology,2014,38(1)：188-192(in Chinese)．
