Comparative studies on non-convex optimization methods for transmission network expansion planning
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Data
1998-08-01
Autores
Gallego, R. A.
Monticelli, A.
Romero, R.
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Editor
Institute of Electrical and Electronics Engineers (IEEE)
Resumo
We have investigated and extensively tested three families of non-convex optimization approaches for solving the transmission network expansion planning problem: simulated annealing (SA), genetic algorithms (GA), and tabu search algorithms (TS). The paper compares the main features of the three approaches and presents an integrated view of these methodologies. A hybrid approach is then proposed which presents performances which are far better than the ones obtained with any of these approaches individually. Results obtained in tests performed with large scale real-life networks are summarized.
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Palavras-chave
simulated annealing, genetic algorithm, tabu search, network static expansion planning, combinatorial optimization
Como citar
IEEE Transactions on Power Systems. New York: IEEE-Inst Electrical Electronics Engineers Inc., v. 13, n. 3, p. 822-828, 1998.