Computational framework combining static and transient power system security evaluation using uncertainties

Takahata, Amélia Yukie; Santos, Marcelos Groetaers dos; Taranto, G.N.; Schilling, M.T.

doi:10.1016/j.ijepes.2015.02.042

Cited by 9 publications

(2 citation statements)

References 59 publications

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“…Reference 88 presents a shortened and efficient method for presenting the power grid uncertainties. These uncertainties are considering in the probabilistic SSA calculations.…”

Section: Special Casesmentioning

confidence: 99%

Static security assessment of power systems: A review

Gholami

Sanjari

Safari

et al. 2020

Int Trans Electr Energ Syst

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Summary The security assessment, based on which determinant decisions should be made for power system design, control and operation, is a challenging issue for utility engineers and network designers, especially in large‐scale power systems. Numerous methods have been proposed and implemented for this purpose, and a variety of indices have been suggested to address the static security condition of power networks. Large‐scale datasets of measurements in continually expanding power systems necessitate advanced knowledge in big data analytics. In this review paper, numerical techniques and machine learning‐based methods are reviewed as two main categories for static security assessment in power systems based on principal features of static security status classification such as type of classifier, the static security index, and feature selection and extraction methods. This paper can be used as a useful reference for static security assessment of power systems.

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“…Reference 88 presents a shortened and efficient method for presenting the power grid uncertainties. These uncertainties are considering in the probabilistic SSA calculations.…”

Section: Special Casesmentioning

confidence: 99%

Static security assessment of power systems: A review

Gholami

Sanjari

Safari

et al. 2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…State enumeration method has been used for probabilistic SSSA but limited to small and medium power system sizes. The evaluation of eigenvalues becomes impossible for all operating conditions for large systems 12 . The Monte‐Carlo (MC) method has been widely used in power system computations such as reliability assessment, 13 security, 14 and planning 15 .…”

Section: Introductionmentioning

confidence: 99%

Cooperative coevolutionary algorithms for optimalPSStuning based onMonte‐Carloprobabilistic small‐signal stability assessment

Chabane

Ladjici

Hellal

et al. 2020

Int Trans Electr Energ Syst

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Summary This article presents a robust and optimal PSS tuning with the Monte‐Carlo approach for probabilistic small‐signal stability analysis in electric power systems under uncertainties. The uncertainties are mainly related to renewable energy and include production and demand in power systems. Additionally, lines and transformers contingencies have also been added. Probabilistic models of these uncertainties are constructed considering their characteristics. Subsequently, probabilistic small‐signal stability assessment of the power system is carried out based on modal analysis via Monte‐Carlo simulation. The proposed method is tested by analyzing the eigenvalues of New England New York benchmark system, where stable, unstable, and oscillatory modes are first identified in the deterministic framework and extended to a probabilistic context as the deterministic one is limited for particular operating states. Additionally, local and inter‐area modes of electromechanical oscillation are classified, and PSS optimal placement and tuning are performed to ensure sufficient damping under uncertainties. Relevant discussion of stability enhancement using the proposed approach has been illustrated.

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Short-term vs long-term reliance: Development of a novel approach for diversity of fuels for electricity in energy security

Kosai

Unesaki

2020

Applied Energy

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Computational framework combining static and transient power system security evaluation using uncertainties

Cited by 9 publications

References 59 publications

Static security assessment of power systems: A review

Static security assessment of power systems: A review

Cooperative coevolutionary algorithms for optimalPSStuning based onMonte‐Carloprobabilistic small‐signal stability assessment

Short-term vs long-term reliance: Development of a novel approach for diversity of fuels for electricity in energy security

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