Resumen
This paper presents a methodology for resolving the transmission expansion planning problem by considering single contingency criteria (N-1). Each bus bar in the power system considered future demand uncertainty. The planning problem was divided into an investment problem (calculating investment costs) and an operative problem (resolving power flows). A modified evolutionary elitist non-dominated sorted genetic algorithm (NSGA-II) was used for resolving the investment problem, determining several investment proposals where feasibility was evaluated by solving the operative problem. On the other hand, a high order interior point (HOIP) method was proposed for solving load flow problems. The methodology was tested by using two systems found in the specialised literature: IEEE-24 bus and Garver or IEEE-6 bus systems. The results, when compared with traditional ones, showed the proposed method's power and the multi-objective technique's convenience.
Título traducido de la contribución | Multiobjective transmission expansion planning considering security and demand uncertainty |
---|---|
Idioma original | Español |
Páginas (desde-hasta) | 74-78 |
Número de páginas | 5 |
Publicación | Ingenieria e Investigacion |
Volumen | 29 |
N.º | 3 |
Estado | Publicada - dic. 2009 |
Publicado de forma externa | Sí |
Palabras clave
- DC model
- Demand uncertainty
- Evolutionary algorithm
- Interior point
- Multi-objective optimisation
- Single contingency criteria
- Transmission expansion planning