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- Abhinav Kumar Singh, Ravindra Singh, Bikash C. Pal
- IEEE Trans. Smart Grid
- 2015

This paper focuses on the refinement of standard Hilbert Huang transform (HHT) technique to accurately characterize time varying, multi components inter area oscillations. Several improved masking techniques for Empirical Mode Decomposition (EMD) and a local Hilbert transformer are proposed and a number of issues regarding their use and interpretation are… (More)

- E. Barocio, Bikash C. Pal, Davide Fabozzi, Nina F. Thornhill
- 2013 IREP Symposium Bulk Power System Dynamics…
- 2013

In this paper, a multivariate statistical projection method based on Principal Component Analysis (PCA) is proposed for detecting and extracting unusual or anomalous events from wide-area monitoring data. The method combines PCA with statistical test to detect and analyze anomalous dynamic events from measured data. Simulations based on a transient… (More)

This paper demonstrates the enhancement of inter-area mode damping by multiple flexible ac transmission systems (FACTS) devices. Power system damping control design is formulated as an output disturbance rejection problem. A decentralized damping control design based on the mixed-sensitivity formulation in the linear matrix inequality (LMI) framework is… (More)

- Balarko Chaudhuri, Rajat Majumder, Bikash C. Pal
- IEEE Trans. Contr. Sys. Techn.
- 2004

This paper demonstrates the application of multiple-model adaptive control (MMAC) strategy for robust damping of low-frequency electromechanical oscillation in an interconnected power system. The control algorithm uses a model-based approach to account for the variability and uncertainty involved in the postdisturbance dynamics of the system. Conventional… (More)

- Krishna K. Anaparthi, Nina F. Thornhill, Bikash C. Pal
- 2005

In this letter, a new technique to identify coherent generators in large interconnected power system using measurements of generator speed and bus angle data has been presented. This is based on the application of principal component analysis (PCA) to measurements obtained from simulation studies that represent examples of interarea events. The results of… (More)

- Rajat Majumder, Balarko Chaudhuri, Bikash C. Pal, Qing-Chang Zhong
- IEEE Trans. Contr. Sys. Techn.
- 2005

This brief illustrates a control design procedure for handling time delays encountered in transmitting the remote signals in power systems. A unified Smith predictor (USP) approach is used to formulate the control design problem in the standard mixed sensitivity framework. The solution to the problem is sought numerically using linear matrix inequalities… (More)

This paper shows that conic programming is an effective tool to solve robust power system stabilizer (PSS) design problems, namely coordinated gain tuning and coordinated phase and gain tuning. Design robustness is achieved by simultaneously considering several operating scenarios. The method is implemented through a sequence of conic programming runs that… (More)

-This paper presents a novel approach to the monitoring of inter-area oscillation frequency and damping using multivariate analysis techniques. A twostep method is presented (i) Independent Component Analysis for the detection of inter-area modes and estimation of their frequencies, and (ii) Random Decrement for the estimation of mode damping. The method is… (More)

- Jukka Turunen, Jerry Thambirajah, +6 authors Tuomas Rauhala
- 2011

This paper describes three data driven methods to monitor electromechanical oscillations in interconnected power system operation. The objective is to compare and contrast the performance of the methods. The accuracy of damping ratio and frequency of oscillations are the measures of the performance of the algorithms. The advantages and disadvantages of… (More)