Power system expansion planning under uncertainty

Abstract
This paper describes a methodology for expansion planning of power systems under several uncertainty factors such as demand growth, fuel cost, delay in project completion, financial constraints etc. The solution approach is based on stochastic optimization techniques, decision analysis, and multiobjective tradeoff analysis. Case studies with the Brazilian system are presented and discussed.

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