Projekter pr. år
Abstract
Distribution system reconfiguration is an effective solution to reduce the consequences of a disaster through transferring loads to another feeder via automatic switches. Meanwhile, an optimal sequence of damage components repairments provides the operator with the opportunity to utilize components that play a critical role in restoring loads sooner. Motivated by the rise in penetration of renewable distributed generators in modern distribution systems, this paper aims to develop a robust reconfiguration and crew routing co-optimization method to cope with renewable and demand uncertainties while recovering from a disaster. The method optimizes the grid recovery process for the worst load/generation scenario and repeats the optimization every time step considering the activities before the current time step. Finally, a case study on the IEEE 33-bus distribution test network is investigated to analyze the efficiency of the method.
Originalsprog | Engelsk |
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Titel | 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) |
Forlag | IEEE |
Publikationsdato | 2022 |
Artikelnummer | 9810592 |
ISBN (Trykt) | 978-1-6654-1212-4 |
ISBN (Elektronisk) | 978-1-6654-1211-7 |
DOI | |
Status | Udgivet - 2022 |
Begivenhed | 17th International Conference on Probabilistic Methods Applied to Power Systems - Manchester, Storbritannien Varighed: 12 jun. 2022 → 15 jun. 2022 |
Konference
Konference | 17th International Conference on Probabilistic Methods Applied to Power Systems |
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Land/Område | Storbritannien |
By | Manchester |
Periode | 12/06/2022 → 15/06/2022 |
Navn | International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) |
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ISSN | 2642-6757 |
Fingeraftryk
Dyk ned i forskningsemnerne om 'A Robust MPC Method for Post-Disaster Distribution System Reconfiguration based on Repair Crew Routing'. Sammen danner de et unikt fingeraftryk.Projekter
- 1 Afsluttet
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REPEPS: REliable Power Electronic based Power System
Blaabjerg, F., Iannuzzo, F., Davari, P., Wang, H., Wang, X. & Yang, Y.
01/08/2017 → 01/12/2023
Projekter: Projekt › Forskning