Robustness assessment of the expansion of coupled electric power and natural gas networks under cascading failures

Beyza, Jesus; Yusta, José M.

doi:10.1049/iet-gtd.2018.5799

Cited by 15 publications

(11 citation statements)

References 39 publications

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“…In this particular case, reconnecting the hub nodes increases structural robustness and facilitates the redistribution of flows within the system. This phenomenon is well studied in network science [16].…”

Section: B Resilience Assessmentmentioning

confidence: 94%

“…In this document, the 400 kV power grid in Spain is used to test the disintegration and recovery procedures developed. This electrical network is made up of more than 21,000 km of high-voltage power lines, more than 1000 substations, and more than 80,000 MVA of transformation capacity [16].…”

Section: Current Topology Of the Spanish High-voltage Power Systemmentioning

confidence: 99%

“…Scale-free network of the Spanish high-voltage power system. characteristics of real complex systems [16]. These types of graphs are useful for evaluating the structural robustness and vulnerability of networks and characterising their topological properties through centrality measures [19].…”

Section: Current Topology Of the Spanish High-voltage Power Systemmentioning

confidence: 99%

“…Reliability, vulnerability, and resilience assess the operation and performance of the power grid, so it is necessary to study them together to minimise the interruption of the power supply in the event of contingencies. Here, it is important to note that there is only related work on the joint consideration of reliability and vulnerability, and documents on vulnerability and resilience are barely receiving any attention [16]. Because of the above, this paper presents an original procedure based on complex network theory to sequentially study the vulnerability and resilience of electrical infrastructures.…”

Section: Introductionmentioning

confidence: 99%

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Vulnerability and Resilience Assessment of Power Systems: From Deterioration to Recovery via a Topological Model based on Graph Theory

Beyza

Bravo²,

García-Paricio

et al. 2020

2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)

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Traditionally, vulnerability is the level of degradation caused by failures or disturbances, and resilience is the ability to recover after a high-impact event. This paper presents a topological procedure based on graph theory to evaluate the vulnerability and resilience of power grids. A cascading failures model is developed by eliminating lines both deliberately and randomly, and four restoration strategies inspired by the network approach are proposed. In the two cases, the degradation and recovery of the electrical infrastructure are quantified through four centrality measures. Here, an index called flow-capacity is proposed to measure the level of network overload during the iterative processes. The developed sequential framework was tested on a graph of 600 nodes and 1196 edges built from the 400 kV high-voltage power system in Spain. The conclusions obtained show that the statistical graph indices measure different topological aspects of the network, so it is essential to combine the results to obtain a broader view of the structural behaviour of the infrastructure.

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Section: B Resilience Assessmentmentioning

confidence: 94%

Section: Current Topology Of the Spanish High-voltage Power Systemmentioning

confidence: 99%

Section: Current Topology Of the Spanish High-voltage Power Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Vulnerability and Resilience Assessment of Power Systems: From Deterioration to Recovery via a Topological Model based on Graph Theory

Beyza

Bravo²,

García-Paricio

et al. 2020

2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)

Self Cite

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“…In case of the fault of the IES itself or external attack, the IES lines, pipelines or equipment may cease operating, and the resulting impairment of the network transmission performance in a running network is to be assessed with certain indexes 40,41 . In consideration of the physical properties of IES, at present, the indexes measuring the reliability of IES include:…”

Section: Reliability Assessment Of Ies Based On Complex Network Theorymentioning

confidence: 99%

Reliability assessment of integrated energy systems based on complex network theory

Pan

Yan

Gao

et al. 2022

Engineering Reports

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As integrated energy systems (IES) continue to undergo development and advancement, the degree of coupling between subsystems and their complexity are also on the rise, posing a challenge for the reliability assessment of such systems. The conventional method is unable to explain the interaction between subsystems as well as system-level phenomena. The complex network theory is needed to provide a deeper analysis. Firstly, this paper introduces the basic concept and analysis tools of complex network theory. Secondly, the topological network model and the identification indexes of weak links for the IES are summarized as the basis for reliability assessment. Then, the reliability assessment indexes and assessment methods are sorted out for the IES based on the complex network theory; and further, the measures to optimize the reliability of the IES are put forward. Finally, from the perspective of complex network theory, directions for future research on the reliability assessment of IES are suggested.

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Long-Term Reserve Expansion of Integrated Electricity and Gas Systems for Risk Mitigation

Zhang

Ding

Bao

et al. 2023

Risk Modeling, Analysis and Control of Multi-Energy Systems

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Robustness assessment of the expansion of coupled electric power and natural gas networks under cascading failures

Cited by 15 publications

References 39 publications

Vulnerability and Resilience Assessment of Power Systems: From Deterioration to Recovery via a Topological Model based on Graph Theory

Vulnerability and Resilience Assessment of Power Systems: From Deterioration to Recovery via a Topological Model based on Graph Theory

Reliability assessment of integrated energy systems based on complex network theory

Long-Term Reserve Expansion of Integrated Electricity and Gas Systems for Risk Mitigation

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