Planeamiento de la expansión de sistemas de transmisión considerando contingencias y demanda incierta
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This paper presents a methodology and a mathematical model to solve the expansion planning problem that takes into account the effect of contingencies in the planning stage, and considers the demand as a stochastic variable within a specified range. In this way, it is possible to find a solution that minimizes the investment costs guarantying reliability and minimizing future load shedding. The mathematical model of the expansion planning can be represented by a mixed integer nonlinear programming problem. To solve this problem a specialized Genetic Algorithm combined with Linear Programming was implemented.
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Genetic algorithms, Power system reliability, Transmission planning, Uncertain demand
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Espanhol
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Revista Facultad de Ingenieria, n. 48, p. 188-200, 2009.
