Probabilistic Framework for Transient Stability Assessment of Power Systems With High Penetration of Renewable Generation

Papadopoulos, Panagiotis; Milanović, Jovica V.

doi:10.1109/tpwrs.2016.2630799

Cited by 155 publications

(132 citation statements)

References 49 publications

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“…On the other hand, a threshold of 360° means that two generators are one complete cycle away from each other after a disturbance, and it is expected that for this point instability has definitely occurred. Studies reporting the use of this threshold include [6,16,21,22,[27][28][29][30][31][32][33]. References [21,22] that investigated thresholds by conducting an extensive number of simulations for large systems found that instability actually occurs at thresholds lower than 360°, and also that these could be below and above 180°.…”

Section: Threshlolds Based On the Maximum Angle Differencementioning

confidence: 99%

“…2. It is adapted from [33] and previously applied by the authors in [30]. This approach is suited to the Transient Stability Assessment (TSA) of modern uncertain power networks with the inclusion of RES, reflecting thoroughly their statistical dynamic behavior.…”

Section: Probabilistic Framework For Determining the Angle Thresmentioning

confidence: 99%

“…The RES part of the network consists of a mix of Doubly Fed Induction Generators (DFIGs), representing wind generators and Full Converter Connected (FCC) units, representing wind generators and PV units, all of them with Fault Ride Through (FRT) capabilities. Complete data of the system components and models used can be found in [30,33].…”

Section: A Test Network and Modelling Criteriamentioning

confidence: 99%

“…Only three phase self-clearing faults are considered with a mean value of 14 cycles and a standard deviation of 6.67% to model their duration, which is selected to generate an appropriate number of stable/unstable cases for analysis. Complete information about the sampling of uncertainties can be found in [30,33].…”

Section: B Modelling Of Uncertaintiesmentioning

confidence: 99%

See 3 more Smart Citations

Analysis of Angular Threshold Criteria for Transient Instability Identification in Uncertain Power Systems

Morales

Milanović

Papadopoulos

2019

2019 IEEE Milan PowerTech

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This paper addresses the problem of finding a threshold (critical value of rotor angle) for the identification of transient instability by the sole use of the information on rotor angles. Several threshold values for rotor angles have been used in the past without a clear agreement on a standard value. In this paper a probabilistic approach to the problem is proposed, so that for any network a threshold can be defined based on set accuracy, while at the same time minimizing the instability identification time. Results demonstrate that highly accurate robust rotor angle thresholds can be found, even for highly uncertain power networks with a high penetration of Renewable Energy Sources (RES).

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Section: Threshlolds Based On the Maximum Angle Differencementioning

confidence: 99%

Section: Probabilistic Framework For Determining the Angle Thresmentioning

confidence: 99%

Section: A Test Network and Modelling Criteriamentioning

confidence: 99%

Section: B Modelling Of Uncertaintiesmentioning

confidence: 99%

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Analysis of Angular Threshold Criteria for Transient Instability Identification in Uncertain Power Systems

Morales

Milanović

Papadopoulos

2019

2019 IEEE Milan PowerTech

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“…A current controller, real (active)-reactive power PQ controller and over frequency power reduction control of the converter are included in the model. Further details about the system and references to the sources of data used in simulations can be found in [41][42][43][44][45][46] and appropriate system settings and computational tools downloaded from https://data.mendeley.com/.…”

Section: Examples Of Probabilistic Power System Stability Studies (A)mentioning

confidence: 99%

Probabilistic stability analysis: the way forward for stability analysis of sustainable power systems

Milanović

2017

Phil. Trans. R. Soc. A.

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Future power systems will be significantly different compared with their present states. They will be characterized by an unprecedented mix of a wide range of electricity generation and transmission technologies, as well as responsive and highly flexible demand and storage devices with significant temporal and spatial uncertainty. The importance of probabilistic approaches towards power system stability analysis, as a subsection of power system studies routinely carried out by power system operators, has been highlighted in previous research. However, it may not be feasible (or even possible) to accurately model all of the uncertainties that exist within a power system. This paper describes for the first time an integral approach to probabilistic stability analysis of power systems, including small and large angular stability and frequency stability. It provides guidance for handling uncertainties in power system stability studies and some illustrative examples of the most recent results of probabilistic stability analysis of uncertain power systems.This article is part of the themed issue 'Energy management: flexibility, risk and optimization'.

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Preventive‐Corrective Coordinated Transient Stability‐Constrained Optimal Power Flow under Uncertain Wind Power

2023

Stability‐Constrained Optimization for Modern Power System Operation and Planning

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Probabilistic Framework for Transient Stability Assessment of Power Systems With High Penetration of Renewable Generation

Cited by 155 publications

References 49 publications

Analysis of Angular Threshold Criteria for Transient Instability Identification in Uncertain Power Systems

Analysis of Angular Threshold Criteria for Transient Instability Identification in Uncertain Power Systems

Probabilistic stability analysis: the way forward for stability analysis of sustainable power systems

Preventive‐Corrective Coordinated Transient Stability‐Constrained Optimal Power Flow under Uncertain Wind Power

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