EURO-Online login
- New to EURO? Create an account
- I forgot my username and/or my password.
- Help with cookies
(important for IE8 users)
3906. Resource-constrained transmission maintenance scheduling problem
Invited abstract in session WB-6: Advancements of OR-analytics in statistics, machine learning and data science 17, stream Advancements of OR-analytics in statistics, machine learning and data science.
Wednesday, 10:30-12:00Room: 1013 (building: 202)
Authors (first author is the speaker)
| 1. | Amira Dems
|
| HydroQuebec research institute, Hydro-Quebec | |
| 2. | Alain Côté
|
| IREQ, Hydro-Québec | |
| 3. | Mohamed Gaha
|
| 4. | Quentin Cappart
|
| Computer and Software Engineering, Polytechnique Montréal | |
| 5. | Franklin Nguewouo
|
| Hydroquébec |
Abstract
The Transmission Maintenance Scheduling (TMS) is a strategic problem in asset management for electrical utilities around the worlds. It consists in generating an annual plan for the preventive maintenance of electric power transmission equipment. The resulting maintenance plan must ensure a continuous power flow during maintenance operations. It must also satisfy various constraints such as the stability of the network and the availability of skilled teams to fulfill the planned maintenance tasks. The proposed TMS problem is part of an important project for asset management at Hydro-Quebec (HQ). It is a variant addressing the human resource allocation constraints to ensure the feasibility of a maintenance plan (respecting the available number of technicians in each period). The problem is solved using a constraint-satisfaction approach and experiments are carried out on a HQ power subnetwork, with limits on the capacity of available electricians.
Keywords
- Decision Support Systems
- Practice of OR
- Utility Systems
Status: accepted
Back to the list of papers