Identification of coherent groups and PMU placement for inter-area monitoring based on graph theory

Ríos, Mario Alberto Gaviria; Gómez, Óscar

doi:10.1109/isgt-la.2011.6083180

Cited by 28 publications

(23 citation statements)

References 12 publications

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“…The methodologies underlying these approaches are diverse, e.g. artificial neural network (ANN) [11], particle swarm optimization and k-means (PSO-KM) algorithm [12], graph theory [13], partitioning around medoids (PAM) [14], hierarchical clustering [15], self-organizing feature maps [16], Fast-Fourier transform (FFT) [17], [18], Hilbert-Huang transform (HHT) [19] and Principal Component Analysis (PCA) [20], [21]. Despite having the advantages over model-based approaches, these techniques have some limitations, for instance, the ANN algorithm requires excessive off-line training data to train the neural network in order to identify the coherent generators.…”

Section: State Of the Artmentioning

confidence: 99%

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

Ariff

Pal

2013

IEEE Trans. Power Syst.

132

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Abstract-This paper presents a novel approach to the coherency identification technique in interconnected power system using independent component analysis (ICA). The ICA is applied to the generator speed and bus angle data to identify the coherent areas of the system. The results of the application of ICA using simulated data from 16-machine 68-bus system model and on data gathered through UK University-based WideArea Measurement System are presented. The approach is able to identify the cluster of generators and buses following a disturbance in the system. It is also demonstrated that the approach is robust in the presence of noise in measured signal, which is an important factor to be considered for assessing the effectiveness of any measurement-based technique.Index Terms-Coherency identification, wide-area measurement, measurement-based, independent component analysis, power system

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Section: State Of the Artmentioning

confidence: 99%

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

Ariff

Pal

2013

IEEE Trans. Power Syst.

132

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“…Approaches Based on System Aspects: Apart from the observability criterion, researchers in the past proposed approaches to identify optimal locations based on other criterion such as state estimation [23], [24], voltage stability [25], transient stability [26], [27], vulnerability [28], [29], and coherency [30]. An approach for placement of PMUs considering both topological and system aspects is proposed in [31].…”

Section: Introductionmentioning

confidence: 99%

Approach for Multistage Placement of Phasor Measurement Units Based on Stability Criteria

Kumar

Thukaram

2016

IEEE Trans. Power Syst.

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Identification of optimal locations to deploy the phasor measurement units (PMUs) is a preliminary task in wide area monitoring and control of power systems. Given the cost and other associated restrictions, it is highly unlikely for any utility to install all the required number of PMUs to ensure the complete observability of the network. This necessitates judicious identification of locations in the network to deploy the PMUs. Ideally, the choice of location must depend on the intended purpose. In this paper, an approach for placement of PMUs considering both the stability and topological aspects is presented. First, a probabilistic framework based on proximity to instability is proposed to rank the generators/load buses in the order of vulnerability. Subsequently, a binary integer linear programming formulation is proposed to identify the optimal locations considering both stability and topological aspects. The optimal locations obtained using the proposed approach ensures a priori observability of most vulnerable buses in addition to enhancing the network observability. Results on IEEE 39-bus system and 246-bus equivalent system of Indian southern grid are presented to illustrate the proposed approach.Index Terms-Observability, phasor measurement units, transient stability, voltage stability, vulnerability.

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“…13 Some approaches to the solution of OPP problem in system perspective may be worth mentioning here. A novel approach has been suggested 14 by Rios et al with graph theory to identify the coherent groups of generators and to install PMU for inter-area oscillation monitoring and control. Two major drawbacks of this approach have been identified as the system may not be decomposable in meaningful clusters always, and secondly, coherent regions are dynamic in nature, so this approach cannot assure robust PMU placement.…”

Section: Introductionmentioning

confidence: 99%

PMU‐based power system component monitoring scheme satisfying complete observability with multicriteria decision support

Chatterjee

Ghosh

Roy

2019

Int Trans Electr Energ Syst

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Summary Modern power system operates in stressed conditions due to fickle loads, high penetration of renewables, and complex control strategies. The failure of any power system asset may lead to protract power interruption or even catastrophic failures. Synchrophasor‐based extensive research advancements in wide area measurement, protection, and control (WAMPAC) systems are solving critical operation and control problems of the power system. This paper proposes a new combinatorial methodology for monitoring the prime power system components in preference to complete observability of the system. A multicriteria decision support (MCDS) approach, analytical hierarchy process (AHP), has been used to prepare a ranking according to component bus priority for synchrophasor measurement unit installation. The priority list is further processed with intelligent search technique (IST) to compute the optimal solution for synchrophasor meter placement, ensuring complete observability, maximum measurement redundancy, and coverage of prime system components with direct monitoring. Some practical contingencies related to synchrophasor meters placement problem like single meter loss or line outage have also been considered for the case studies. The efficiency of the proposed method has been verified with IEEE 14‐bus, 24‐bus, 30‐bus, 57‐bus, and 118‐bus and New England 39‐bus test systems. To prove the superiority of the method, in essence of synchrophasor meter placement problems, the outcome has been compared with some of the existing methods from the literature.

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Identification of coherent groups and PMU placement for inter-area monitoring based on graph theory

Cited by 28 publications

References 12 publications

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

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

Approach for Multistage Placement of Phasor Measurement Units Based on Stability Criteria

PMU‐based power system component monitoring scheme satisfying complete observability with multicriteria decision support

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