Generator coherency and area detection in large power systems

Vahidnia, Arash; Ledwich, Gerard; Palmer, Edward; Ghosh, Arindam

doi:10.1049/iet-gtd.2012.0091

Cited by 76 publications

(65 citation statements)

References 17 publications

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“…In [14], two wide-area protection schemes both on synchrophasor measurements are presented for controlled islanding of the Uruguayan electrical power system. An approach for identifying coherent generators of power systems is presented in [15] by using spectrum analysis of the generators velocity variations. In [16], an algorithm based on principal component analysis is presented for identifying coherent generators of an interconnected power system by using the measured data sets of generator speeds and bus angles.…”

Section: Introductionmentioning

confidence: 99%

Controlled islanding schemes for interconnected power systems based on coherent generator group identification and wide-area measurements

Lin

Wen

Zhao

et al. 2016

J. Mod. Power Syst. Clean Energy

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A reasonable islanding strategy of a power system is the final resort for preventing a cascading failure and/or a large-area blackout from occurrence. In recent years, the applications of wide area measurement systems (WAMS) in emergency control of power systems are increasing. Therefore, a new WAMS-based controlled islanding scheme for interconnected power systems is proposed. First, four similarity indexes associated with the trajectories of generators are defined, and the weights of these four indexes are determined by using the well-developed entropy theory. Then, a coherency identification algorithm based on hierarchical clustering is presented to determine the coherent groups of generators.Secondly, an optimization model for determining controlled islanding schemes based on the coherent groups of generators is developed to seek the optimal cutset. Finally, a 16-generator 68-bus power system and a reduced WECC 29-unit 179-bus power system are employed to demonstrate the proposed WAMS-based controlled islanding schemes, and comparisons with existing slow coherency based controlled islanding strategies are also carried out.

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Section: Introductionmentioning

confidence: 99%

Controlled islanding schemes for interconnected power systems based on coherent generator group identification and wide-area measurements

Lin

Wen

Zhao

et al. 2016

J. Mod. Power Syst. Clean Energy

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“…While in paper [13], author has used spectral analysis for detecting the coherency, the low frequency signal is separated out by low pass filter and then the spectrum analysis is done. The spectrum analysis is for finding the cross-correlation between the generator's signals.…”

Section: Generator Coherency In Real Timementioning

confidence: 99%

“…Initially, modal analysis is performed on the system to investigate the low frequency inter-area modes and participation factor of the generators [17], [18]. The dynamic simulation of system model, having exciters excited by sinusoidal signal at 10 Hz and loads being perturbed [13] by 5% around the linearized operating point is conducted to validate the presence of inter-area modes via estimation of spectral density in the generator signals.…”

Section: Proposed Approachmentioning

confidence: 99%

Time-varying coherency study using TFC

Shweta

Kishor

Uhlen

et al. 2017

2017 IEEE Manchester PowerTech

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-An assessment of the dynamic interactions between generators will provide valuable information which could improve control action and hence maintain stability in the interconnected system. The paper presents the study on dynamic interaction in terms of coherency established among the generators following a particular event. Time Frequency Coherency (TFC) method is applied to trace the coherency among the generators. The dominant inter-area modes on which TFC is applied has been extracted from empirical mode decomposition of the swing curve. The phase difference between the dominant modes will verify and refine the coherency results. The potential of TFC in power system application has been evaluated on test cases, power system model & Phasor Measurement Unit (PMU) signals.

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“…Many researches have been conducted in this field, such as dynamic equivalents [1][2][3], model analysis [4,5] and identification [6,7], singular perturbation techniques [8], Hankel norm approximation [9], balanced realization approach [10], etc. There are already some effective theories and applications published on linear power system model reduction.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear power system model reduction based on empirical Gramians

Zhao

Xiaoming

Ren

2017

Journal of Electrical Engineering

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An effective nonlinear model reduction approach, empirical Gramians balanced reduction approach, is studied, to reduce the computation complexity in nonlinear power system model application. The realization procedure is: firstly, computing the empirical controllable and observable Gramians matrices of nonlinear power system model, secondly, by these two matrices, computing the balance transformation matrix to obtain the balanced system model of the original model, then, computing the controllable and observable matrices of the balanced system to obtain the diagonal Hankel singular matrix. Finally, deciding the lower-order subspace to obtain the reduced power system model. A 15-machine power system model is taken as an example to perform the reduction simulation analysis.K e y w o r d s: power system, nonlinear model reduction, empirical Gramians, balanced truncation

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Generator coherency and area detection in large power systems

Cited by 76 publications

References 17 publications

Controlled islanding schemes for interconnected power systems based on coherent generator group identification and wide-area measurements

Controlled islanding schemes for interconnected power systems based on coherent generator group identification and wide-area measurements

Time-varying coherency study using TFC

Nonlinear power system model reduction based on empirical Gramians

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