The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Optimal Generator Start-Up Strategy for Bulk Power System Restoration
Abstract
During system restoration, it is critical to utilize the available black-start (BS) units to provide cranking power to non-black-start (NBS) units in such a way that the overall system generation capability will be maximized. The corresponding optimization problem is combinatorial with complex practical constraints that can vary with time. This paper provides a new formulation of generator start-up sequencing as a mixed integer linear programming (MILP) problem. The linear formulation leads to an optimal solution to this important problem that clearly outperforms heuristic or enumerative techniques in quality of solutions or computational speed. The proposed generator start-up strategy is intended to provide an initial starting sequence of all BS or NBS units. The method can provide updates on the system MW generation capability as the restoration process progresses. The IEEE 39-Bus system, American Electric Power (AEP), and Entergy test cases are used for validation of the generation capability optimization. Simulation results demonstrate that the proposed MILP-based generator start-up sequencing algorithm is highly efficient.
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Citations
Cites
Energy Function Analysis for Power System Stability
Pai, M. A. (1989) · Springer eBooks · doi:10.1007/978-1-4613-1635-0 · Cited by 1,991
An expert system operational aid for restoration and loss reduction of distribution systems
Liu, C.-C., Lee, S. J., & Venkata, S. S. (1988) · IEEE Transactions on Power Systems · doi:10.1109/59.192914 · Cited by 482
Self-citationDevelopment of a Knowledge Based System for Power System Restoration
Sakaguchi, T., & Matsumoto, K. (1983) · IEEE Transactions on Power Apparatus and Systems · doi:10.1109/tpas.1983.317770 · Cited by 291
Power System Restoration - A Task Force Report
Adibi, M., Clelland, P., Fink, L., Happ, H., Kafka, R., Raine, J., Scheurer, D., & Trefny, F. (1987) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.1987.4335118 · Cited by 236
From generic restoration actions to specific restoration strategies
Fink, L. H., Liou, K.-L., & Liu, C.-C. (1995) · IEEE Transactions on Power Systems · doi:10.1109/59.387912 · Cited by 218
Self-citationComparative study of modern heuristic algorithms to service restoration in distribution systems
Toune, S., Fudo, H., Genji, T., Fukuyama, Y., & Nakanishi, Y. (2002) · IEEE Transactions on Power Delivery · doi:10.1109/61.974205 · Cited by 215
Comparative Study of Modern Heuristic Algorithms to Service Restoration in Distribution Systems
Toune, S., Fudo, H., Genji, T., Fukuyama, Y., & Nakanishi, Y. (2001) · IEEE Power Engineering Review · doi:10.1109/mper.2001.4311192 · Cited by 191
Optimal Restoration of Distribution Systems Using Dynamic Programming
Perez-Guerrero, R. E., Heydt, G. T., Jack, N. J., Keel, B., & Castelhano, A. R. (2008) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.2007.916112 · Cited by 149
Optimal Reconfiguration of Radial Distribution Systems Using a Fuzzy Mutated Genetic Algorithm
Prasad, K., Ranjan, R., Sahoo, N. C., & Chaturvedi, A. (2005) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.2005.844245 · Cited by 138
Guiding a power system restoration with an expert system
Kirschen, D. S., & Volkmann, T. L. (1991) · IEEE Transactions on Power Systems · doi:10.1109/59.76698 · Cited by 112
Cited by
Research on Resilience of Power Systems Under Natural Disasters—A Review
Wang, Y., Chen, C., Wang, J., & Baldick, R. (2016) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2015.2429656 · Cited by 1,116
Metadata
- Authors
- Sun, W., Liu, C.-C., & Zhang, L.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2011-08
- Volume
- 26
- Issue
- 3
- Pages
- 1357-1366
- ISSN
- 0885-8950 (ISSN-L)
- 1558-0679
- OpenAlex
- W2077388941
- Cited by
- 255
- References
- 12
- FWCI
- 3.74
- Type
- journal article
- Language
- en
- Open access
- closed
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