207. An integrated optimization-simulation system for the repair sequence problem of electricity distribution networks
Invited abstract in session WE-7: Optimization applications III, stream Optimization applications.
Wednesday, 14:10 - 15:50Room: M:I
Authors (first author is the speaker)
| 1. | Atanu Maji
|
| Department of Computer, Automatic and Management Engineering, Sapienza University of Rome | |
| 2. | Anna Livia Croella
|
| Sapienza University of Rome | |
| 3. | Laura Palagi
|
| Department of Computer, Control, and Management Engineering A. Ruberti, Sapienza University of Rome | |
| 4. | Alberto Tofani
|
| ENEA |
Abstract
Electricity distribution networks are complex systems designed to deliver electricity from power stations to consumers efficiently. When disruptions occur, effective strategies are crucial to minimize the number of disconnected electrical stations and users. While some stations can swiftly reconnect via pre-installed automated switches or tele-controlled devices, others necessitate manual intervention from operator crews. We propose a Repair Sequence Optimization (RSO) approach for large power distribution grids that integrates an optimization model within the simulator RecSIM, developed by ENEA of Italy in collaboration with an electricity distributor Areti S.p.A. The RSO employs a mathematical model for the Repair Sequence problem, which can be formulated as scheduling for parallel identical machines.
We tested our approach on a realistic power distribution grid of a large metropolitan city, which shows the efficiency of the optimization procedure. Each simulation was performed considering a randomly generated scenario, whose results were subsequently analysed and verified to ensure consistency with actual restoration operations.
Keywords
- Mixed integer nonlinear optimization
- SS - Multi-Criteria Optimization and Real-World Applications
- Optimization under uncertainty and applications
Status: accepted
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