State estimation, the core of the Energy Management System (EMS) is a prerequisite for operation of modern power grid. It changed its emergence with the introduction of high speed Phasor Measurement Unit (PMU) based Wide-Area Measurement Systems (WAMS) featured with synchronous sampling later ...
Power system dynamic state estimation considering correlation of measurement error from PMU and SCADA Dynamic state estimation (DSE) accurately tracks the dy-namics of a power system and provides the evolution of the system state in real-time. This paper fo... Z Lu,Z Wei,Y Sun - 《Concurrenc...
Distributed Quasi-Dynamic State Estimation with both GPS-Synchronized and Non-Synchronized Data The distribution system always contains GPS-synchronized data and non-synchronized data. The application of both types of data in state estimation increase... B Xie,APS Meliopoulos,L Yu,... - North Ame...
Power system dynamic state estimation Power system transient stability Synchronous machine 2-axis-fourth-order model Extended Kalman Filter Phasor Measurement Unit Nonlinear control 摘要 This paper proposes Extended Kalman Filter (EKE) based dynamic state estimator for power systems using phasor measurement ...
The status quo and prospect of power system DSE(Dynamic State Estimation) are surveyedand some usual methods for DSE are compared briefly. The mathematical model of DSE based on EKF(Extended Kalman Filter) is described,and three kinds of improved algorithm are offered,which improves the self-adap...
Dynamic state estimation (DSE) accurately tracks the dynamics of a power system and provides the evolution of the system state in real-time. This paper focuses on the control and protection applications of DSE, comprehensively presenting different facets of control and protection challenges arising in...
It is shown through the Monte-Carlo method that the estimation accuracy and robustness of the proposed approach is better than those from any individual filtering algorithm. 展开 关键词: CKF dynamic state estimation EKF EnKF multi-model adaptive estimation PMU UKF ...
Unscented Kalman filter for power system dynamic state estimation A new estimation method for power system dynamic state estimation, the unscented Kalman filter (UKF), is presented. It is based on the application of the u... G Valverde,V Terzija - 《Iet Generation Transmission & Distribution》 ...
Adaptive estimation of the state-of-charge (SoC) for batteries is increasingly appealing, thanks to its ability to accommodate uncertain or time-varying mo... H Fang,X Zhao,Y Wang,... - 《Journal of Power Sources》 被引量: 0发表: 2014年 Dynamic state estimation in power system based on...
Wide area measurement system (WAMS) has been widely used in power system dynamic monitoring and control, such as low frequency identification and control, stability assessment and preventive control, etc. However, as a measurement tool, phasor measurement unit (PMU) has the measurement error and ba...