A computational model of mid-term outage scheduling for long-term system studies

Marin, Manuel; Karangelos, Efthymios; Wehenkel, Louis

doi:10.1109/PTC.2017.7980964

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A computational model of mid-term outage scheduling for long-term system studies

Marin, Manuel; Karangelos, Efthymios; Wehenkel, Louis

2017 • In PowerTech Manchester 2017 Proceedings

Peer reviewed

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https://hdl.handle.net/2268/207220

DOI
10.1109/PTC.2017.7980964

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Keywords :

Outage scheduling proxy; transmission systems; asset management

Abstract :

[en] This paper presents a computational model of the mid-term outage scheduling process of electric power transmis- sion assets, to be used in long-term studies such as mainte- nance policy assessments and system development studies, while accounting for the impact of outage schedules on short-term system operation. We propose a greedy algorithm that schedules the outages one by one according to their impact on system operation estimated via Monte-Carlo simulations. The model is implemented in JULIA and applied to the IEEE RTS-96.

Disciplines :

Electrical & electronics engineering

Author, co-author :

Marin, Manuel ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation

Karangelos, Efthymios ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation

Wehenkel, Louis ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation

Language :

English

Title :

A computational model of mid-term outage scheduling for long-term system studies

Publication date :

2017

Event name :

PowerTech Manchester 2017

Event organizer :

IEEE Power and Energy Society

Event date :

from 18-6-2017 to 22-6-2017

Main work title :

PowerTech Manchester 2017 Proceedings

Peer reviewed :

Peer reviewed

Tags :

CÉCI : Consortium des Équipements de Calcul Intensif

European Projects :

FP7 - 608540 - GARPUR - Generally Accepted Reliability Principle with Uncertainty modelling and through probabilistic Risk assessment

Available on ORBi :

since 09 February 2017

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