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The effects of the high penetration of renewable energies on the reliability and vulnerability of interconnected electric power systems

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TLDR
In this article, the reliability and vulnerability of electrical networks are jointly analyzed to quantify systems' performance by increasing and decreasing renewable resources and the degree of coupling of electrical infrastructures.
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This article is published in Reliability Engineering & System Safety.The article was published on 2021-11-01. It has received 23 citations till now. The article focuses on the topics: Vulnerability assessment & Reliability (statistics).

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Citations
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Journal ArticleDOI

Identifying and assessing power system vulnerabilities to transmission asset outages via cascading failure analysis

TL;DR: In this article , the authors present a methodology for power system vulnerability assessment that couples an AC-based cascading failure simulation model and a meta-heuristic optimization procedure, which is applied to the IEEE 118-bus test system and the Swiss power grid.
Journal ArticleDOI

Identifying and assessing power system vulnerabilities to transmission asset outages via cascading failure analysis

TL;DR: In this paper, the authors present a methodology for power system vulnerability assessment that couples an AC-based cascading failure simulation model and a meta-heuristic optimization procedure, which is applied to the IEEE 118-bus test system and the Swiss power grid.
Journal ArticleDOI

Effects of High Level of Penetration of Renewable Energy Sources on Cascading Failure of Modern Power Systems

TL;DR: In this paper , the authors incorporate the dynamical process of frequency control in modeling cascading failure and assessing the robustness of power systems with a high level of penetration of renewable energy sources.
Journal ArticleDOI

Joint optimization of structure and protection of interdependent infrastructure networks

TL;DR: In this article , a joint optimization method for the two phases based on an incomplete-information game under the situation of intentional attacks was proposed for the joint optimization of interdependency structure and protection.
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A decision theoretic framework for reliability-based optimal wind turbine selection

TL;DR: In this article , the optimal wind turbine selection is studied in terms of the capacity factor of wind turbine generator and the Expected Energy not Supplied which is one of the most commonly used reliability indices for power systems.
References
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Journal ArticleDOI

Metaheuristic searching genetic algorithm based reliability assessment of hybrid power generation system

TL;DR: The MSGA technique used for evaluating the reliability and adequacy of generation systems integrated with wind/Solar energy is developed and can be used to test the power capacity forecasting scheme of the hybrid power generation system with the wind, solar and storage.
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A graph-based modelling framework for vulnerability analysis of critical sequences of events in power systems

TL;DR: A vulnerability analysis methodology based on the modelling framework is proposed that allows for identifying how critical consequences might occur as well as estimating their likelihoods of occurring and incorporates a possibilistic uncertainty analysis to explicitly capture uncertainties associated with the likelihood of events.
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Reliability based modeling of hybrid solar/wind power system for long term performance assessment

TL;DR: In this article, an analytical expression for the theoretical distribution of the power output of the hybrid system by taking into account the reliability values of renewable energy components is derived and used to compute the energy index of reliability (EIR).
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An ACOPF-based bilevel optimization approach for vulnerability assessment of a power system

TL;DR: This paper linearizes and transforms the proposed ACOPF-based mathematical framework into a one-level mixed-integer linear program (MILP) using the duality theory and some proposed linearization techniques, and demonstrates the performance of the proposed MILP for vulnerability assessment.
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A data-driven approach to anomaly detection and vulnerability dynamic analysis for large-scale integrated energy systems

TL;DR: A systematic data-driven approach is proposed for detecting anomalies and analyzing the dynamics of IES vulnerability, and a method of complex network phase theory is proposed to model information propagation among IES nodes representative of the IES physical entities.
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