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Distribution network expansion planning under uncertainty: a hedging algorithm in an evolutionary approach

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4 Author(s)
Carvalho, P.M.S. ; Dept. de Engenharia Electrotecnica e de Comput., Inst. Superior Tecnico, Lisbon, Portugal ; Ferreira, L.A.F.M. ; Lobo, F.G. ; Barruncho, L.M.F.

The paper addresses the problem of distribution network expansion planning under uncertainty. The deterministic problem is itself a large-scale, complex, difficult-to-define one; the combinatorial nature of the decision making can be efficiently handled by a specific evolutionary approach, We develop, in the evolutionary optimization context, a hedging algorithm to deal with scenario representation of uncertainty; decision making results in a convergence process for the first stage naturally conflicting decisions. The process robustness is discussed and illustration is provided for a comprehensive example

Published in:

Power Industry Computer Applications., 1997. 20th International Conference on

Date of Conference:

11-16 May 1997