Abstract
The distribution network is the most exposed part of the electrical power system relative to different abnormal events; therefore, it reports the highest occurrence rates in terms of electrical and mechanical failures. The present project describes a strategy for restoring faulty areas after the occurrence of an abnormal event causing an outage; consequently, the proposed algorithm is not only focused on the maximization of the connected loads but also deals with the minimization of the switching operations by considering technical operational constraints. The remarked study has two stages: The first one finds an initial set of tie-line candidates using the spanning tree technique, while the second stage applies a genetic algorithm to determine the optimal solution considering all the constraints. Three cases studies have been used to test the proposed algorithm, then the simulation and results of IEEE 13, 37 and 94 node feeders depict the effectiveness of the restoration strategy.
| Original language | English |
|---|---|
| Article number | 6699 |
| Journal | Energies |
| Volume | 14 |
| Issue number | 20 |
| DOIs | |
| State | Published - 1 Oct 2021 |
Bibliographical note
Funding Information:Funding: This work was supported by Universidad Politécnica Salesiana and GIREI—Smart Grid Research Group under the project Automatic Protection Coordination of Overcurrent Relays on Distribution Networks.
Funding Information:
This work was supported by Universidad Polit?cnica Salesiana and GIREI?Smart Grid Research Group under the project Automatic Protection Coordination of Overcurrent Relays on Distribution Networks.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords
- Distribution system
- Genetic algorithms
- Network reconfiguration
- Service restoration
- Spanning tree techniques
