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1 Introduction In the research of complicated electrical engineering, the emergence of phasor measurement units (PMU) is a landmark event [ 1 – 5 ]. In the late 1980s, the development of PMU originated in Virginia Polytechnic Institute and State University (Virginia Tech). Two academicians of relay protection field in the National Academy of Engineering, Arun G. Phadke and James S. Throp, took the lead to bring forward synchronous phasor measurement arithmetic and developed the early PMU equipment [ 6 – 9 ]. The spread of wide area measurement system (WAMS) and

coordinate supplementary damping controller for HVDC and SVC were then designed based on projective control principle. The criterion of synthetic residue is adopted in choosing the proper input wide area signals. Eigenvalue analysis and time domain simulations were performed on a two-area system and the results demonstrated the effectiveness of the proposed controller. KEYWORDS: wide area measurement system, projective control, synthetic residue criterion, test signal I. INTRODUCTION In China large distance between power generation and load center is patent. When

Verfahren zur Dämpfung von Leistungs- pendelungen, die wesentlichen Erkenntnisse zum Reg- lerdesign, zuWechselwirkungen zwischen den beteiligten Komponenten und zu Optimierungsansätzen sowie den Stand der Implementierungspraxis. Darüber hinaus wer- den besondere Anforderungen an Wide Area Measure- ment Systems vorgestellt. Auch wird die aktuelle Metho- denvielfalt und daraus resultierend die Notwendigkeit einer standardisierten Vergleichbarkeit innovativer Kon- zepte verdeutlicht. Schlüsselwörter: Power System Stabilizer, FACTS, HVDC, Wide Area Measurement Systems, Praxis

1 Introduction Power systems continuously undergo changes due to stochastic nature of loads. Each change in load leads to an oscillatory response from the power system. This is due to the dynamic nature of the power generation system. The power system oscillations are observed in most of the measured variables such as bus voltage, transmission line currents, branch powers and in the frequency as well. With development of wide-area measurement systems (WAMS), the availability of data sample at rate suitable for power system oscillations measurement has improved

a disturbance (“synchronizing effect”), thereby reducing the susceptability to loss of synchronism. The damping of swings can be improved using auxiliary damping controllers, e.g., Power System Stabilizers in generator excitation systems. The advent of Wide-Area Measurement Systems (WAMS) [1] and the deployment of HVDC and FACTS devices have ushered in new possibilities in the design of robust and effective controls for improving angular stability. FACTS devices like Thyristor Controlled Series Compensator (TCSC) and Static Synchronous Series Compensator (SSSC

Nomenclature/Abbreviations U and V Matrices S singular values X measurements in the matrix form XR estimated matrix X m Number of PMUs t time interval r number of singular values PMU phasor measurement units PDC phasor data concentrators WAMS Wide Area Measurement Systems EHV extra high voltage SVD singularvalues decomposition EVD eigenvalues decomposition CS compressive sampling CR compression ratio KMO Kaiser-Meyer-Olkin PCA principal component analysis PRINCOMP principal components 1 Introduction Power Transmission systems are experiencing fast and

real-time measurement equipments to measure the dynamic response of wind generators. This paper proposes a method based on wide-area trajectory sensitivities to identify the parameters of FSIG-based (Fixed Speed Induction Generator) wind farms. By this method, the data recorded by Wide Area Measurement System (WAMS) are used to process identification, which satisfies the requirement from grid companies. This paper gives a detailed description on the modelling of identification, the analysis of trajectory sensitivity and the algorithm to solve the optimization problem

[ 16 ]. Measurement-based methods are critical for wide area control, so few wide area measurement systems (WAMS) based methods on controlled islanding are reviewed. A generalized statistical approach [ 17 ] computes coherency measure between loads and generators, allowing for an online update of the clusters to determine islanding boundaries. However, [ 17 ] extracts bus grouping features from an offline analysis. In Ref. [ 18 ], the authors determine the islanding boundaries in real time with ANFIS. However, ANFIS stability predictor derives the database from

] B. Naduvathuparambil, M. C. Valenti and A. Feliachi, “Communication Delays Wide Area Measurement Systems”, Proceedings of the thirty-fourth Southeastern Symposium on System Theory , Huntsville, 2002.

spread across India is a challenging task, emphasizing the need to adopt smart-grid technology. The wide-area measurement system (WAMS) is an effective smart grid technology that is used for grid monitoring as well as wide-area protection and control in real-time. Considering the importance of WAMS, central and state utilities in India have started adopting this technology. This paper highlights one such experience from the Indian grid with a review of the relevant literature survey presented in the beginning. The utilization of the synchrophasor system for event