Coherency Identification in Interconnected Power System—An Independent Component Analysis Approach

Ariff, Mohd Farid Mohd; Pal, Bikash C.

doi:10.1109/tpwrs.2012.2217511

Cited by 132 publications

(67 citation statements)

References 27 publications

(34 reference statements)

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“…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. In [17], the independent component analysis method is applied for coherency identification of interconnected power systems with WAMS. The Fourier analysis method is proposed in [18] to identify the coherent groups of generators by analyzing the generator speed sets measured by WAMS.…”

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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“…Generators # 1-9, #15 and #16 are seen to have the largest contribution to a dominant mode around 0.39 Hz involving primarily the interaction between machines in areas 1, and areas 2 , 3 , 4 and 5 [12].…”

Section: A Test Case and Transient Analysismentioning

confidence: 93%

“…To allow comparisons with previous studies [12], a ten percent increment of mechanical input torque for 80 ms to each generator was applied. Measurements were recorded over 19 seconds at a rate of 100 samples per second for a total number of 1900 observations.…”

Section: A Test Case and Transient Analysismentioning

confidence: 99%

A Dynamic Mode Decomposition Framework for Global Power System Oscillation Analysis

Barocio

Pal

Thornhill

et al. 2015

IEEE Trans. Power Syst.

151

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Abstract--A global multiscale method based on a dynamic mode decomposition (DMD) algorithm to characterize the global behavior of transient processes recorded using wide-area sensors is proposed. The method interprets global dynamic behavior in terms of both, spatial patterns or shapes and temporal patterns associated with dynamic modes containing essentially singlefrequency components, from which the mode shapes, frequencies and growth and decay rates of the modes can be extracted simultaneously. These modes are then used to detect the coherent and dominant structures within the data.The technique is well suited for fast wide-area monitoring and assessment of global instability in the context of modern data fusion-based estimation techniques. Results of the application of the proposed method to large, high-dimensional data sets are encouraging.

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“…In our methodology, the value of r is the number of islands to be created. This value corresponds to the number of identified coherent groups of generators [4][5][6][7][8][9][10][11][12][13], as current practices (e.g., [23,24]) suggest that the number of islands should be equal to the number of coherent groups obtained after the severe disturbance. Note that, nevertheless, the proposed methodology can determine an islanding solution for any given number of islands.…”

Section: Eigenvalues Of the Laplacian Matricesmentioning

confidence: 99%

“…, are identified after a severe disturbance, e.g., using approaches such as those described in [24,29], our methodology will create islands such that each of these contains only coherent generators, as detailed below.…”

Section: Generator Coherencymentioning

confidence: 99%

Constrained spectral clustering‐based methodology for intentional controlled islanding of large‐scale power systems

Quirós-Tortós¹,

Sánchez-García

Brodzki

et al. 2015

IET Generation, Transmission & Distribution

118

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Abstract:Intentional controlled islanding is an effective corrective approach to minimise the impact of cascading outages leading to large-area blackouts. This paper proposes a novel methodology, based on constrained spectral clustering, that is computationally very efficient and determines an islanding solution with minimal power flow disruption, while ensuring that each island contains only coherent generators. The proposed methodology also enables operators to constrain any branch, which must not be disconnected, to be excluded from the islanding solution. The methodology is tested using the dynamic models of the IEEE 39-and IEEE 118-bus test systems. Time-domain simulation results for different contingencies are used to demonstrate the effectiveness of the proposed methodology to minimise the impact of cascading outages leading to large-area blackouts. In addition, a realistically sized system (a reduced model of the Great Britain network with 815 buses) is used to evaluate the efficiency and accuracy of the methodology in large-scale networks. These simulations demonstrate that our methodology is more efficient, in a factor of approximately 10, and more accurate than another existing approach for minimal power flow disruption.

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Coherency Identification in Interconnected Power System—An Independent Component Analysis Approach

Cited by 132 publications

References 27 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

A Dynamic Mode Decomposition Framework for Global Power System Oscillation Analysis

Constrained spectral clustering‐based methodology for intentional controlled islanding of large‐scale power systems

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