Probabilistic Evaluation of Substation Criticality Based on Static and Dynamic System Performances

Silva, Armando M. Leite da; Violin, Airton; Ferreira, C. Machado; Machado, Zulmar S.

doi:10.1109/tpwrs.2013.2293626

Cited by 20 publications

(15 citation statements)

References 21 publications

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“…In this stage, the constraints are represented by (2), (3), and also by the maximum power outputs of the generating units (6): (6) where and are, respectively, the lower and upper bounds of the generated power at node .…”

Section: A Static Rankingmentioning

confidence: 99%

“…Controlled or intentional islanding [1], algebraic network theory [2], polyhedral dynamics [3], artificial intelligence based search methods [4], and spectral graph theory [5] are among those techniques proposed to find critical equipment and vulnerability indices. Recently, a novel probabilistic-based method to incorporate substations related outages in composite system reliability evaluation was presented in [6], but with emphasis on the substation reliability.…”

Section: Introductionmentioning

confidence: 99%

“…In relation to the use of probabilistic methods to assess the criticality of the network nodes, one can identify several works [6], [16]- [23]. These methods are more oriented to the reliability assessment of the bulk system, since they require failure and repair cycle's characterization of the equipment.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Method for Ranking Critical Nodes in Power Networks Including Load Uncertainties

Silva

Jardim²,

Lima

et al. 2016

IEEE Trans. Power Syst.

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This paper presents a new method for ranking critical nodes in bulk power systems. The proposed approach is able to offer a list of nodes or substations, from which system planners can easily identify those facilities with more urgent investment needs. The ranking process includes both static (via optimal power flow) and dynamic (via transient stability) performance analyses to assess deterministic indices. These indices measure the static and dynamic vulnerabilities of the network. As an extension of the deterministic approach, a new ranking based on the same indices is evaluated through a Monte Carlo simulation, considering several load scenarios modeled through uncertainties and the related generating dispatches. Applications in a test system presenting the rank of critical nodes are provided and discussed.Index Terms-Adequacy and security analyses, fast transient stability assessment, load uncertainties, nodal ranking, substation criticality.

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Section: A Static Rankingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Method for Ranking Critical Nodes in Power Networks Including Load Uncertainties

Silva

Jardim²,

Lima

et al. 2016

IEEE Trans. Power Syst.

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show abstract

“…Stability analysisoriented research is mainly based on the evaluation of the violation of the limit of power system quantities and the behavior of the generator under contingency conditions. Some methods [2][3][4][5] proposed for stability assessment in the latest literature were based on risk or probabilistic, pattern recognition, and time domain simulation (TDS) techniques. TSA is directly concerned about the large disturbance.…”

Section: Introductionmentioning

confidence: 99%

“…TSA is directly concerned about the large disturbance. A risk-based methodology was proposed in [2][3][4]. A probabilistic small-disturbance stability analysis (PSSA) method with uncertainties was proposed by Preece and Milanović [2].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Transient Stability through Coherent Machine Identification by Using Least-Square Support Vector Machine

Soni

Saxena

Gupta

et al. 2018

Modelling and Simulation in Engineering

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Transient stability assessment (TSA) of the power system is a crucial issue with escalating demands and large operational constraints. Real-time TSA allows for deciding and monitoring of the relevant preventive/corrective control actions depending on the dynamic behavior of the system components. To assess this, coherency of generating machines is to be found. After determination of the coherent machines, any corrective or preventive action can be initiated by the system operator to maintain stability of the system during occurrence of any severe contingency. e Transient Severity Index (TSI) introduced in this paper has proven to be an interesting alternative for determining generator coherency. Furthermore, the numerical values of this index are employed to construct a supervised learning-based classifier and the ranking method with the help of system load and generation as input features. is framework employs the support vector machine (SVM) to perform the ranking of the generators based on severity and classify them into vulnerable and nonvulnerable machines. e results are validated on the IEEE 10generator, 39-bus test (New England) system. It is observed that the proposed index and the supervised learning engine give satisfactory results and both are aligned with the published approaches.

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Ranking and quantifying the effects of load model parameters on power system stability

Zhu

Milanović

Hasan

2019

IET Generation, Transmission & Distribution

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Probabilistic Evaluation of Substation Criticality Based on Static and Dynamic System Performances

Cited by 20 publications

References 21 publications

A Method for Ranking Critical Nodes in Power Networks Including Load Uncertainties

A Method for Ranking Critical Nodes in Power Networks Including Load Uncertainties

Assessment of Transient Stability through Coherent Machine Identification by Using Least-Square Support Vector Machine

Ranking and quantifying the effects of load model parameters on power system stability

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