Structural vulnerability in transmission systems: Cases of Colombia and Spain

Correa, Gabriel J.; Yusta, José M.

doi:10.1016/j.enconman.2013.10.011

Cited by 23 publications

(15 citation statements)

References 21 publications

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“…We use the geodesic vulnerability index ( ν) and impact on connectivity (S) to measure the functionality of the combined electric power and gas network, with respect to the stable condition, when the functionality of a node is compromised. These indexes have been applied to both IEEE test networks and actual electrical networks [26,27]. Although the potential of these indexes has been shown in electrical networks, they have not been applied in coupled networks, which is the goal of this work.…”

Section: Measures Of Vulnerability In Networkmentioning

confidence: 99%

Applying Complex Network Theory to the Vulnerability Assessment of Interdependent Energy Infrastructures

2019

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In this paper, we evaluate the use of statistical indexes from graph theory as a possible alternative to power-flow techniques for analyzing cascading failures in coupled electric power and natural gas transmission systems. Both methodologies are applied comparatively to coupled IEEE and natural gas test networks. The cascading failure events are simulated through two strategies of network decomposition: Deliberate attacks on highly connected nodes and random faults. The analysis is performed by simulating successive N-k contingencies in a coupled network, where the network structure changes with the elimination of each node. The suitability of graph-theoretic techniques for assessing the vulnerability of interdependent electric power and natural gas infrastructures is demonstrated.

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Section: Measures Of Vulnerability In Networkmentioning

confidence: 99%

Applying Complex Network Theory to the Vulnerability Assessment of Interdependent Energy Infrastructures

2019

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“…Important variables, such as voltage, power, efficiency, and state of charge (SOC) during charging (P B(b,t) > 0) and discharging (P B(b,t) ≤ 0) conditions have been estimated. Definitions of battery voltage, efficiency, and SOC are shown in (28), (29), and (30), respectively, while some of their operating constraints are presented in (31) and (32). Calculation of battery voltage during charging and discharging is explained in (33) and (34), respectively.…”

Section: Model Of Distributed Bessmentioning

confidence: 99%

“…In this subsection, the vulnerability [32] of MG configuration of Figure 4 is analysed. Specifically, CIs shown in Figures 9 and 11 have been used to evaluate the vulnerability of the whole system against contingencies intentionally created (CIC) on the renewable and CG subsystems, respectively.…”

Section: Vulnerability Assessment Of Autonomous Mgmentioning

confidence: 99%

Mitigating Energy System Vulnerability by Implementing a Microgrid with a Distributed Management Algorithm

2019

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This work presents a management strategy for microgrid (MG) operation. Photovoltaic (PV) and wind generators, as well as storage systems and conventional units, are distributed over a wide geographical area, forming a distributed energy system, which is coordinated to face any contingency of the utility company by means of its isolated operation. The management strategy divides the system into three main layers: renewable generation, storage devices, and conventional units. Interactions between devices of the same layer are determined by solving an economic dispatch problem (EDP) in a distributed manner using a consensus algorithm (CA), and interactions between layers are determined by means of a load following strategy. In this way, the complex behaviour of PV and wind generation, the battery storage system, and conventional units has been effectively combined with CA to solve EDP in a distributed manner. MG performance and its vulnerability are deeply analysed by means of an illustrative case study. From the observed results, vulnerability under extreme conditions could be reduced up to approximately 30% by coupling distributed renewable generation and storage capacity with an energy system based on conventional generation.

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“…En el caso español, por ejemplo, la red de transporte suma más de 50.000 Km de líneas eléctricas, pero las redes de distribución superan los 500.000 Km [38]. Es importante tener presente que la tarea de protección de estas infraestructuras tan extensas y numerosas debe realizarse en la medida que sea viable técnica y económicamente.…”

Section: Cadena De Valor De Infraestructuras Eléctricasunclassified

Seguridad Energética y Protección de Infraestructuras Críticas

Correa-Henao

Yusta²

2013

Lámpsakos

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En los últimos años se ha intensificado la preocupación de todos los países y gobiernos por la seguridad del abastecimiento energético, y particularmente sobre la protección de las infraestructuras críticas para el suministro de energía. A los marcos de referencia internacionales de la Directiva 2008/114/CE de la UE y el Plan Nacional de Protección de Infraestructuras de EE.UU de 2009, se suma en España la reciente aprobación de la Ley 8/2011 y del Real Decreto 704/2011 sobre identificación y protección de infraestructuras críticas. En este artículo se muestran, en el marco de estas referencias, distintas estrategias internacionales de organización de la protección de infraestructuras. También se propone un marco conceptual para la identificación de riesgos en infraestructuras eléctricas mediante mapas de riesgos interconectados.

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Structural vulnerability in transmission systems: Cases of Colombia and Spain

Cited by 23 publications

References 21 publications

Applying Complex Network Theory to the Vulnerability Assessment of Interdependent Energy Infrastructures

Applying Complex Network Theory to the Vulnerability Assessment of Interdependent Energy Infrastructures

Mitigating Energy System Vulnerability by Implementing a Microgrid with a Distributed Management Algorithm

Seguridad Energética y Protección de Infraestructuras Críticas

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