Journal ArticleDOI
A Robust Iterated Extended Kalman Filter for Power System Dynamic State Estimation
TLDR
In this paper, a robust iterated extended Kalman filter (EKF) based on the generalized maximum likelihood approach (termed GM-IEKF), is proposed for estimating power system state dynamics when subjected to disturbances.Abstract:
This paper develops a robust iterated extended Kalman filter (EKF) based on the generalized maximum likelihood approach (termed GM-IEKF) for estimating power system state dynamics when subjected to disturbances. The proposed GM-IEKF dynamic state estimator is able to track system transients in a faster and more reliable way than the conventional EKF and the unscented Kalman filter (UKF) thanks to its batch-mode regression form and its robustness to innovation and observation outliers, even in position of leverage. Innovation outliers may be caused by impulsive noise in the dynamic state model while observation outliers may be due to large biases, cyber attacks, or temporary loss of communication links of PMUs. Good robustness and high statistical efficiency under Gaussian noise are achieved via the minimization of the Huber convex cost function of the standardized residuals. The latter is weighted via a function of robust distances of the two-time sequence of the predicted state and innovation vectors and calculated by means of the projection statistics. The state estimation error covariance matrix is derived using the total influence function, resulting in a robust state prediction in the next time step. Simulation results carried out on the IEEE 39-bus test system demonstrate the good performance of the GM-IEKF under Gaussian and non-Gaussian process and observation noise.read more
Citations
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Journal ArticleDOI
Energy function analysis for power system stability
TL;DR: In this paper, the authors present an energy fundiment analysis for power system stability, focusing on the reliability of the power system and its reliability in terms of power system performance and reliability.
Journal ArticleDOI
Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work
Junbo Zhao,Antonio Gomez-Exposito,Marcos Netto,Lamine Mili,Ali Abur,Vladimir Terzija,Innocent Kamwa,Bikash C. Pal,Abhinav Kumar Singh,Junjian Qi,Zhenyu Huang,A. P. Sakis Meliopoulos +11 more
TL;DR: A unified framework is proposed to clarify the important concepts related to DSE, forecasting-aided state estimation, trackingstate estimation, and static state estimation and provide future research needs and directions for the power engineering community.
Journal ArticleDOI
Deep Learning-Based Interval State Estimation of AC Smart Grids Against Sparse Cyber Attacks
TL;DR: In this article, a scenario-based two-stage sparse cyber-attack models for smart grid with complete and incomplete network information are proposed, and an interval state estimation-based defense mechanism is developed innovatively in order to effectively detect the established cyber-attacks.
Journal ArticleDOI
Robust Unscented Kalman Filter for Power System Dynamic State Estimation With Unknown Noise Statistics
Junbo Zhao,Lamine Mili +1 more
TL;DR: A robust generalized maximum-likelihood unscented Kalman filter (GM-UKF) is developed that can detect bad phasor measurement unit measurements and incorrect state predictions, and filter out unknown Gaussian and non-Gaussian noises through the generalized maximum likelihood-estimator.
Journal ArticleDOI
Assessing Gaussian Assumption of PMU Measurement Error Using Field Data
TL;DR: This letter proposes a simple yet effective approach to assess the Gaussian phasor measurement unit measurement error assumption by using the stability property of a probability distribution and the concept of redundant measurement.
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TL;DR: In this article, the authors describe the simulation of a major power outage in Western North America on August 10, 1996 using a transient stability program, which is based on the WSCC dynamic database.
Journal ArticleDOI
Model validation for the August 10, 1996 WSCC system outage
TL;DR: In this paper, the authors describe the simulation of a major power outage in Western North America on August 10, 1996 using a transient stability program, which is based on the WSCC dynamic database.