Contingency Analysis and Risk Assessment of Small Signal Instability

Arrieta, R.; Ríos, Mario Alberto Gaviria; Torres, Álvaro Pastor

doi:10.1109/pct.2007.4538579

Cited by 16 publications

(16 citation statements)

References 5 publications

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“…In this work, the authors propose a screening and ranking method for transient stability assessments based on the modal synchronizing torque coefficient of the synchronous machines, which is computed by eigenvalue sensitivity analysis. Additional to the aforementioned work, Arrieta et al [35], Baone et al [36], and Wang et al [37], also proposed contingency rankings based on eigenvalue analysis. The next step of the methodology is to simulate, for each operating point, the selected set of contingencies using time-domain dynamic simulations.…”

Section: Parameter Tuningmentioning

confidence: 99%

Active Splitting in Longitudinal Power Systems based on a WAMPC

et al. 2017

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This paper proposes an active splitting scheme especially suitable for longitudinal power systems (LPS). The proposed scheme is based on a modified out-of-step (OOS) algorithm combined with an angle difference method using synchrophasor measurements. The remedial actions are based on the detection of possible loss of synchronism due to severe disturbances. The scheme was tested on a detailed dynamic model of the Central Interconnected System of Chile, a good example of extreme LPS. Obtained results show that remedial actions taken by the proposed protection scheme are able to avoid the total collapse of the system during critical contingencies.

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Section: Parameter Tuningmentioning

confidence: 99%

Active Splitting in Longitudinal Power Systems based on a WAMPC

et al. 2017

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“…It has been shown in [21] that this approach provides sensitivity indices equivalent to the first-order effects described by (2). The FAST approach is not described in detail within this paper as initial results were inaccurate and the method was not further explored.…”

Section: B Variance-based Techniquesmentioning

confidence: 99%

Assessing the Applicability of Uncertainty Importance Measures for Power System Studies

Preece

Milanović

2016

IEEE Trans. Power Syst.

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This paper critically evaluates a number of uncertainty importance measures for use in power system stability studies. Sensitivity analysis of uncertain system parameters is vital as new technologies proliferate and the total level of system uncertainty grows. Accurate assessment of the importance of different uncertainties can guide power system operators towards parameters which will require the greatest levels of mitigation or increased monitoring in order to reduce the uncertainty and its subsequent impact. Local and global sensitivity analysis techniques are described and evaluated within this paper, including nonparametric methods, variance-based approaches, and distribution-based techniques. The techniques are illustrated using a large 295-bus realistic network model of a generic distribution system. Numerical experiments on dynamic models are used in order to assess the impact of uncertainties on the mitigation of system frequency excursions using single-site and distributed energy storage devices. Robin Preece (GS'10-M'13) received the B.Eng. degree in electrical and electronic engineering and Ph.D. degree from the University of Manchester, Manchester, U.K., in 2009 and 2013, respectively. He is currently a Lecturer in power systems engineering with the University of Manchester, Manchester, U.K. Jovica V. Milanović (M'95-SM'98-F'10) received the Dipl.Ing. and M.Sc. degrees from the University of Belgrade, Belgrade, Yugoslavia, the Ph.D. degree from the University of Newcastle, Newcastle, Australia, and the D.Sc. degree from the University of Manchester, Manchester, U.K., all in electrical engineering.Currently, he is a Professor of electrical power engineering,

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“…The pdf of the real part of the critical system state matrix eigenvalues (to determine the probabilistic instability) has been considered as normally distributed in [6], which is often not a correct assumption [7]. A small number of attempts to perform risk assessment of small-disturbance instability have been presented in [8][9][10]. However, these works solely focus on the probability of instability, ignoring the severity of the corresponding instability, and although very valuable, are not truly risk assessments.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Load on Risk-Based Small-Disturbance Security Profile of a Power System

Hasan

Preece

Milanović

2018

IEEE Trans. Power Syst.

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This paper establishes a generic severity function that can be used to produce power system security risk profiles. It is illustrated by analyzing the impacts of system load attributes on the small-disturbance rotor angle stability of a power system. The load attributes contributing to the oscillatory modes can be considered as inherent uncertain variables within power systems and include load power variations, load composition, and load model parameters. Uncertainty in the renewable power generation is also incorporated in the probabilistic modelling and risk assessment to demonstrate the flexibility of the approach. A novel approach is proposed to select the severity functions to logically represent small-disturbance security margin. The risk profile of a power system has been presented considering the probability density functions (pdfs) of power system critical modal damping and a selected set of severity functions. The analysis techniques developed are illustrated with a modified version of the 68-bus NETS-NYPS power system with a high amount of renewable power penetration. The relative importance of the load attributes and the impact of these attributes on stability boundaries has been identified at varying risk levels with respect to their contribution to small-disturbance stability.

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Contingency Analysis and Risk Assessment of Small Signal Instability

Cited by 16 publications

References 5 publications

Active Splitting in Longitudinal Power Systems based on a WAMPC

Active Splitting in Longitudinal Power Systems based on a WAMPC

Assessing the Applicability of Uncertainty Importance Measures for Power System Studies

The Influence of Load on Risk-Based Small-Disturbance Security Profile of a Power System

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