Transmission network expansion planning considering contingencies and uncertain demand

Authors

  • Luis Alfonso Gallego-Pareja Universidad de Antioquia
  • Rubén Augusto Romero Universidad Estadual Paulista
  • Jesús María López-Lezama Universidad de Antioquia

Keywords:

Transmission planning, genetic algorithms, power system reliability, uncertain demand

Abstract


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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Author Biographies

Luis Alfonso Gallego-Pareja, Universidad de Antioquia

Grupo Gimel. Facultad de Ingeniería

Rubén Augusto Romero, Universidad Estadual Paulista

Laboratorio de Planeamiento de Sistemas de Energía Eléctrica

Jesús María López-Lezama, Universidad de Antioquia

Laboratorio de Planeamiento de Sistemas de Energía Eléctrica

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Published

2013-08-30

How to Cite

Gallego-Pareja, L. A., Romero , R. A., & López-Lezama, J. M. (2013). Transmission network expansion planning considering contingencies and uncertain demand . Revista Facultad De Ingeniería Universidad De Antioquia, (48), 188–200. Retrieved from https://revistas.udea.edu.co/index.php/ingenieria/article/view/16529