Day-ahead dispatch optimization with dynamic thermal rating of transformers and overhead lines

Nicola Viafora*, Kateryna Morozovska, Syed Hamza Hasan Kazmi, Tor Laneryd, Patrik Hilber, Joachim Holbøll

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Several studies have demonstrated how Dynamic Line Rating (DLR) could be an effective solution for increasing transmission capacity of existing overhead lines. As opposed to Static Line Ratings (SLR), DLR allows for higher power flows depending on real time thermal state of conductors, which highly depend on actual weather conditions. Similarly, recent advances in transformer thermal modelling revealed the feasibility of Dynamic Transformer Rating (DTR) based on the temporal evolution of top oil and winding hot spot temperatures. However, the joint dynamic thermal rating of both overhead lines and transformers in transmission networks has not been thoroughly addressed yet in the literature. This paper proposes a day-ahead dispatch optimization problem based on DC-Optimal Power Flow, where transformer top oil and hot spot dynamics are directly accounted for together with dynamic line ratings of selected transmission lines. Simulated weather data from an actual power system are mapped to the IEEE RTS 24 bus system thus allowing for the estimation of DLR on several lines and the influence of ambient temperature on transformer rating. Results indicate the potential benefits that using DLR in conjunction with DTR could provide for the optimal power system dispatch. The proposed approach does not only indicate advantages compared to standard rating scenarios, but also shows a positive impact that dynamic line rating has on unlocking transformer constraints and vice versa.

Original languageEnglish
JournalElectric Power Systems Research
Volume171
Pages (from-to)194-208
ISSN0378-7796
DOIs
Publication statusPublished - 2019

Keywords

  • Dynamic line rating
  • Dynamic transformer rating
  • Optimal power dispatch
  • Power system optimization
  • Wind power integration

Cite this

@article{f4842e0d93b44ada99cc9ea41089bb20,
title = "Day-ahead dispatch optimization with dynamic thermal rating of transformers and overhead lines",
abstract = "Several studies have demonstrated how Dynamic Line Rating (DLR) could be an effective solution for increasing transmission capacity of existing overhead lines. As opposed to Static Line Ratings (SLR), DLR allows for higher power flows depending on real time thermal state of conductors, which highly depend on actual weather conditions. Similarly, recent advances in transformer thermal modelling revealed the feasibility of Dynamic Transformer Rating (DTR) based on the temporal evolution of top oil and winding hot spot temperatures. However, the joint dynamic thermal rating of both overhead lines and transformers in transmission networks has not been thoroughly addressed yet in the literature. This paper proposes a day-ahead dispatch optimization problem based on DC-Optimal Power Flow, where transformer top oil and hot spot dynamics are directly accounted for together with dynamic line ratings of selected transmission lines. Simulated weather data from an actual power system are mapped to the IEEE RTS 24 bus system thus allowing for the estimation of DLR on several lines and the influence of ambient temperature on transformer rating. Results indicate the potential benefits that using DLR in conjunction with DTR could provide for the optimal power system dispatch. The proposed approach does not only indicate advantages compared to standard rating scenarios, but also shows a positive impact that dynamic line rating has on unlocking transformer constraints and vice versa.",
keywords = "Dynamic line rating, Dynamic transformer rating, Optimal power dispatch, Power system optimization, Wind power integration",
author = "Nicola Viafora and Kateryna Morozovska and Kazmi, {Syed Hamza Hasan} and Tor Laneryd and Patrik Hilber and Joachim Holb{\o}ll",
year = "2019",
doi = "10.1016/j.epsr.2019.02.026",
language = "English",
volume = "171",
pages = "194--208",
journal = "Electric Power Systems Research",
issn = "0378-7796",
publisher = "Elsevier",

}

Day-ahead dispatch optimization with dynamic thermal rating of transformers and overhead lines. / Viafora, Nicola; Morozovska, Kateryna; Kazmi, Syed Hamza Hasan; Laneryd, Tor; Hilber, Patrik; Holbøll, Joachim.

In: Electric Power Systems Research, Vol. 171, 2019, p. 194-208.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Day-ahead dispatch optimization with dynamic thermal rating of transformers and overhead lines

AU - Viafora, Nicola

AU - Morozovska, Kateryna

AU - Kazmi, Syed Hamza Hasan

AU - Laneryd, Tor

AU - Hilber, Patrik

AU - Holbøll, Joachim

PY - 2019

Y1 - 2019

N2 - Several studies have demonstrated how Dynamic Line Rating (DLR) could be an effective solution for increasing transmission capacity of existing overhead lines. As opposed to Static Line Ratings (SLR), DLR allows for higher power flows depending on real time thermal state of conductors, which highly depend on actual weather conditions. Similarly, recent advances in transformer thermal modelling revealed the feasibility of Dynamic Transformer Rating (DTR) based on the temporal evolution of top oil and winding hot spot temperatures. However, the joint dynamic thermal rating of both overhead lines and transformers in transmission networks has not been thoroughly addressed yet in the literature. This paper proposes a day-ahead dispatch optimization problem based on DC-Optimal Power Flow, where transformer top oil and hot spot dynamics are directly accounted for together with dynamic line ratings of selected transmission lines. Simulated weather data from an actual power system are mapped to the IEEE RTS 24 bus system thus allowing for the estimation of DLR on several lines and the influence of ambient temperature on transformer rating. Results indicate the potential benefits that using DLR in conjunction with DTR could provide for the optimal power system dispatch. The proposed approach does not only indicate advantages compared to standard rating scenarios, but also shows a positive impact that dynamic line rating has on unlocking transformer constraints and vice versa.

AB - Several studies have demonstrated how Dynamic Line Rating (DLR) could be an effective solution for increasing transmission capacity of existing overhead lines. As opposed to Static Line Ratings (SLR), DLR allows for higher power flows depending on real time thermal state of conductors, which highly depend on actual weather conditions. Similarly, recent advances in transformer thermal modelling revealed the feasibility of Dynamic Transformer Rating (DTR) based on the temporal evolution of top oil and winding hot spot temperatures. However, the joint dynamic thermal rating of both overhead lines and transformers in transmission networks has not been thoroughly addressed yet in the literature. This paper proposes a day-ahead dispatch optimization problem based on DC-Optimal Power Flow, where transformer top oil and hot spot dynamics are directly accounted for together with dynamic line ratings of selected transmission lines. Simulated weather data from an actual power system are mapped to the IEEE RTS 24 bus system thus allowing for the estimation of DLR on several lines and the influence of ambient temperature on transformer rating. Results indicate the potential benefits that using DLR in conjunction with DTR could provide for the optimal power system dispatch. The proposed approach does not only indicate advantages compared to standard rating scenarios, but also shows a positive impact that dynamic line rating has on unlocking transformer constraints and vice versa.

KW - Dynamic line rating

KW - Dynamic transformer rating

KW - Optimal power dispatch

KW - Power system optimization

KW - Wind power integration

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DO - 10.1016/j.epsr.2019.02.026

M3 - Journal article

VL - 171

SP - 194

EP - 208

JO - Electric Power Systems Research

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SN - 0378-7796

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