Reliability modeling of transmission networks: An explanatory study on further EHV underground cabling in the Netherlands

Nikoleta Kandalepa; Bart W. Tuinema; J.L. Rueda Torres; Mart A M M Van Der Meijden

doi:10.1109/ENERGYCON.2016.7513889

Reliability modeling of transmission networks: An explanatory study on further EHV underground cabling in the Netherlands

Nikoleta Kandalepa, Bart W. Tuinema, J.L. Rueda Torres, Mart A M M Van Der Meijden

Intelligent Electrical Power Grids

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

Recently, the installation of new overhead lines (OHLs) faces many challenges mainly due to social and environmental reasons. One solution with widespread public support is the installation of Extra High Voltage (EHV) AC XLPE Underground Cables (UGCs). Although it is encouraging from a social perspective, new challenges arise like concerns about the reliability impact. In this paper, an approach is developed, which examines how the installation of EHV UGCs influences the reliability of transmission networks. The approach accounts for short-term operational measures and calculates several reliability indicators. A numerical case study of the Dutch EHV transmission network is performed. Based on probabilistic sensitivity analysis, it is found that the most influencing factors on the indicators are the loading of the cable connection, the repair time and the cable configuration.

Original language	English
Title of host publication	2016 IEEE International Energy Conference, ENERGYCON 2016
Place of Publication	Red Hook, NY, USA
Publisher	IEEE Society
ISBN (Electronic)	978-1-4673-8463-6
DOIs	https://doi.org/10.1109/ENERGYCON.2016.7513889
Publication status	Published - 14 Jul 2016
Event	2016 IEEE International Energy Conference, ENERGYCON 2016 - Leuven, Belgium Duration: 4 Apr 2016 → 8 Apr 2016

Conference

Conference	2016 IEEE International Energy Conference, ENERGYCON 2016
Country/Territory	Belgium
City	Leuven
Period	4/04/16 → 8/04/16

Keywords

reliability analysis
reliability indicators
remedial actions
underground cables

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10.1109/ENERGYCON.2016.7513889

Cite this

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title = "Reliability modeling of transmission networks: An explanatory study on further EHV underground cabling in the Netherlands",

abstract = "Recently, the installation of new overhead lines (OHLs) faces many challenges mainly due to social and environmental reasons. One solution with widespread public support is the installation of Extra High Voltage (EHV) AC XLPE Underground Cables (UGCs). Although it is encouraging from a social perspective, new challenges arise like concerns about the reliability impact. In this paper, an approach is developed, which examines how the installation of EHV UGCs influences the reliability of transmission networks. The approach accounts for short-term operational measures and calculates several reliability indicators. A numerical case study of the Dutch EHV transmission network is performed. Based on probabilistic sensitivity analysis, it is found that the most influencing factors on the indicators are the loading of the cable connection, the repair time and the cable configuration.",

keywords = "reliability analysis, reliability indicators, remedial actions, underground cables",

author = "Nikoleta Kandalepa and Tuinema, {Bart W.} and {Rueda Torres}, J.L. and {Van Der Meijden}, {Mart A M M}",

year = "2016",

month = jul,

day = "14",

doi = "10.1109/ENERGYCON.2016.7513889",

language = "English",

booktitle = "2016 IEEE International Energy Conference, ENERGYCON 2016",

publisher = "IEEE Society",

note = "2016 IEEE International Energy Conference, ENERGYCON 2016 ; Conference date: 04-04-2016 Through 08-04-2016",

}

Kandalepa, N, Tuinema, BW, Rueda Torres, JL & Van Der Meijden, MAMM 2016, Reliability modeling of transmission networks: An explanatory study on further EHV underground cabling in the Netherlands. in 2016 IEEE International Energy Conference, ENERGYCON 2016., 7513889, IEEE Society, Red Hook, NY, USA, 2016 IEEE International Energy Conference, ENERGYCON 2016, Leuven, Belgium, 4/04/16. https://doi.org/10.1109/ENERGYCON.2016.7513889

Reliability modeling of transmission networks: An explanatory study on further EHV underground cabling in the Netherlands. / Kandalepa, Nikoleta; Tuinema, Bart W.; Rueda Torres, J.L. et al.
2016 IEEE International Energy Conference, ENERGYCON 2016. Red Hook, NY, USA: IEEE Society, 2016. 7513889.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Reliability modeling of transmission networks

T2 - 2016 IEEE International Energy Conference, ENERGYCON 2016

AU - Kandalepa, Nikoleta

AU - Tuinema, Bart W.

AU - Rueda Torres, J.L.

AU - Van Der Meijden, Mart A M M

PY - 2016/7/14

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AB - Recently, the installation of new overhead lines (OHLs) faces many challenges mainly due to social and environmental reasons. One solution with widespread public support is the installation of Extra High Voltage (EHV) AC XLPE Underground Cables (UGCs). Although it is encouraging from a social perspective, new challenges arise like concerns about the reliability impact. In this paper, an approach is developed, which examines how the installation of EHV UGCs influences the reliability of transmission networks. The approach accounts for short-term operational measures and calculates several reliability indicators. A numerical case study of the Dutch EHV transmission network is performed. Based on probabilistic sensitivity analysis, it is found that the most influencing factors on the indicators are the loading of the cable connection, the repair time and the cable configuration.

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DO - 10.1109/ENERGYCON.2016.7513889

M3 - Conference contribution

BT - 2016 IEEE International Energy Conference, ENERGYCON 2016

PB - IEEE Society

CY - Red Hook, NY, USA

Y2 - 4 April 2016 through 8 April 2016

ER -

Reliability modeling of transmission networks: An explanatory study on further EHV underground cabling in the Netherlands

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Keywords

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