Impact of model detail of synchronous machines on real-time transient stability assessment

Weckesser, Tilman; Jóhannsson, Hjörtur; Østergaard, Jacob

doi:10.1109/irep.2013.6629364

Cited by 39 publications

(34 citation statements)

References 18 publications

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“…However, the model is based on simplifying (and unrealistic) assumptions, which makes its applications difficult. In order to fill this gap and further analyze more realistic networks, high-order models have been recently considered [360][361][362]. One of the issues pursued by these approaches is the precise understanding of effects of network structures on the collective behavior of power-grids.…”

Section: Power-gridsmentioning

confidence: 99%

“…In comparison to the second-order Kuramoto model (292), this shows different stability behavior due to the evolution of voltage dynamics and should provide more realistic features of real power grids. Furthermore, considering voltage dynamics could yield even higher dimensional model [360]. For an overview of modern achievements and current open problems on the interdisciplinary research on power-grid dynamics we refer the reader to two recently published open issues [372,373] and to the survey by Dörfler and Bullo [35], which offers an comprehensive review on applications of networks of phase oscillators to technological systems.…”

Section: Power-gridsmentioning

confidence: 99%

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The Kuramoto model in complex networks

et al. 2016

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Synchronization of an ensemble of oscillators is an emergent phenomenon present in several complex systems, ranging from social and physical to biological and technological systems. The most successful approach to describe how coherent behavior emerges in these complex systems is given by the paradigmatic Kuramoto model. This model has been traditionally studied in complete graphs. However, besides being intrinsically dynamical, complex systems present very heterogeneous structure, which can be represented as complex networks. This report is dedicated to review main contributions in the field of synchronization in networks of Kuramoto oscillators. In particular, we provide an overview of the impact of network patterns on the local and global dynamics of coupled phase oscillators. We cover many relevant topics, which encompass a description of the most used analytical approaches and the analysis of several numerical results. Furthermore, we discuss recent developments on variations of the Kuramoto model in networks, including the presence of noise and inertia. The rich potential for applications is discussed for special fields in engineering, neuroscience, physics and Earth science. Finally, we conclude by discussing problems that remain open after the last decade of intensive research on the Kuramoto model and point out some promising directions for future research.

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Section: Power-gridsmentioning

confidence: 99%

Section: Power-gridsmentioning

confidence: 99%

The Kuramoto model in complex networks

et al. 2016

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“…A family of fast assessment methods are being developed in the SOSPO 1 project [1] to achieve a secure operation of complex power systems by using realtime algorithms that rely on PMUs. A number of methods have been developed to achieve those objectives [2][3][4][5][6][7][8][9], based on fast computation of the Thévenin impedances [10] and innovative methodologies.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty in real-time voltage stability assessment methods based on Thévenin equivalent due to PMU's accuracy

Perez

Moller

Jóhannsson

et al. 2014

IEEE PES Innovative Smart Grid Technologies, Europe

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This article studies the influence of PMU's accuracy in voltage stability assessment, considering the specific case of Thévenin equivalent based methods that include wide-area information in its calculations. The objective was achieved by producing a set of synthesized PMU measurements from a time domain simulation and using the Monte Carlo method to reflect the accuracy for the PMUs. This is given by the maximum value for the Total Vector Error defined in the IEEE standard C37.118. Those measurements allowed to estimate the distribution parameters (mean and standard deviation) of the studied voltage stability indices and grid transformation coefficients which have applications in voltage stability assessment. The obtained distributions have a direct impact in the number of samples needed for estimating system parameters and compromise between timescale and uncertainty in those estimations is shown.

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“…This means that e.g. the rotor dynamics of synchronous generators are at least represented by a 4 th -order model, which was suggested in [18].…”

Section: Static and Dynamic System Parametersmentioning

confidence: 99%

An Improved On-line Contingency Screening for Power System Transient Stability Assessment

Weckesser

Jóhannsson

Glavić

et al. 2017

Electric Power Components and Systems

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This paper presents a contingency screening method and a framework for its on-line implementation. The proposed method carries out contingency screening and on-line stability assessment with respect to first-swing transient stability. For that purpose, it utilizes the single machine equivalent method and aims at improving the prior developed contingency screening approaches. In order to determine vulnerability of the system with respect to a particular contingency, only one time-domain simulation needs to be performed. An early stop criteria is proposed so that in a majority of the cases the simulation can be terminated after a few hundred milliseconds of simulated system response. The method's outcome is an assessment of the system's stability and a classification of each considered contingency. The contingencies are categorized by exploiting parameters of an equivalent one machine infinite bus system. A novel island detection approach, appropriate for an on-line application since it utilizes efficient algorithms from graph theory and enables stability assessment of individual islands, is also introduced. The New England and New York system as well as the large-scale model of the Continental-European interconnected system are used to test the proposed method with respect to assessment accuracy and computation time.

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Impact of model detail of synchronous machines on real-time transient stability assessment

Cited by 39 publications

References 18 publications

The Kuramoto model in complex networks

The Kuramoto model in complex networks

Uncertainty in real-time voltage stability assessment methods based on Thévenin equivalent due to PMU's accuracy

An Improved On-line Contingency Screening for Power System Transient Stability Assessment

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