Reliability engineering & system safety, 2010-03, Vol.95 (3), p.173-181
2010
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- Autor(en) / Beteiligte
- Titel
- Optimal expansion of an existing electrical power transmission network by multi-objective genetic algorithms
- Ist Teil von
- Reliability engineering & system safety, 2010-03, Vol.95 (3), p.173-181
- Ort / Verlag
- Oxford: Elsevier Ltd
- Erscheinungsjahr
- 2010
- Quelle
- Elsevier ScienceDirect Journals
- Beschreibungen/Notizen
- In this paper, the optimal expansion of a power transmission network by addition of new connection links is addressed. Optimality is searched with respect to two objectives: the transmission reliability efficiency and the cost of the added transmission links. The multi-objective optimization problem is tackled by means of three different genetic algorithm paradigms, opportunely biased to give preference to solutions with a low number of added links, for practical applicability. The three approaches are applied to a reference power transmission network of the literature, the IEEE RTS 96; the results obtained are compared with respect to the efficacy of driving the search towards the preferred region of the solution space. Finally, an interpretation of the results is offered in terms of a properly defined reliability-based centrality measure.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0951-8320eISSN: 1879-0836DOI: 10.1016/j.ress.2009.09.007Titel-ID: cdi_hal_primary_oai_HAL_hal_00610500v1
- Format
- –
- Schlagworte
- Applied sciences, Critical infrastructures, Decision theory. Utility theory, Electrical engineering. Electrical power engineering, Electrical power engineering, Exact sciences and technology, Mathematical programming, Multi-objective genetic algorithm optimization, Operational research and scientific management, Operational research. Management science, Power networks and lines, Power transmission network, Reliability centrality measures, Reliability theory. Replacement problems