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| Format: | Artículo científico |
| Sprache: | en |
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Universidad de Costa Rica
2017
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| Online-Zugang: | https://www.redalyc.org/articulo.oa?id=44170538007 |
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Inhaltsangabe:
- Controlled Islanding with Special Consideration of Parallel Power System Restoration Constraints Pablo Fernández Porras Jairo Quirós Tortós Ingeniería Graph theory spectral clustering intentional controlled islanding parallel power system restoration Intentional Controlled Islanding (ICI) can prevent blackouts by splitting the system into islands following a severe disturbance. Post-islanding events, however, might lead to instabil- ities that can result into blackouts within one or more islands. Although it is critical to ensure that the islands can be restored in the case of local blackouts, this has not been addressed in the literature. To fill this gap, this paper proposes an ICI method that considers not only the typical ICI constraints, but also Parallel Power System Restoration (PPSR) constraints. The traditional islanding problem for minimal power-flow disruption ensuring the typical generator coherency constraint is extended to include at least one blackstart unit within each island and to exclude various branches from possible solutions. To understand the extent to which each island can be restored, the method quantifies the active and reactive power generation available within each island to determine the maximum load that can be picked up. By applying the proposed ICI method, the restoration process can be facilitated and speeded up. Simulation studies on two IEEE test systems are used to demonstrate the effectiveness of the method in determining an islanding solution that considers PPSR constraints with different network topologies and sizes. 2017 artículo científico 1409-2441 https://www.redalyc.org/articulo.oa?id=44170538007 en http://www.redalyc.org/revista.oa?id=441 Ingeniería. Revista de la Universidad de Costa Rica application/pdf Universidad de Costa Rica Ingeniería. Revista de la Universidad de Costa Rica (Costa Rica) Num.1 Vol.27