Otro
Planeamiento de la expansión de sistemas de transmisión considerando contingencias y demanda incierta
Registro en:
Revista Facultad de Ingenieria, n. 48, p. 188-200, 2009.
0120-6230
WOS:000266123900019
2-s2.0-69649092779.pdf
2-s2.0-69649092779
Autor
Gallego Pareja, Luis Alfonso
Romero, Rubén Augusto
López Lezama, Jesús María
Resumen
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.