Ir arriba
Información del artículo

Robust Cournot strategies in electricity markets using possibilistic optimization

F.A. Campos, J. Villar, J. Barquín

Cournot equilibrium is one of the theoretical approaches more used to model market behavior in electricity industry. However, it is highly influenced by the residual demand curves of the market agents, which are usually difficult to estimate precisely, being necessary to consider uncertainty for a correct modeling. Traditionally, Probability Theory has been the standard mathematical tool for uncertainty modeling. However, several of its well known drawbacks, reminded in this paper, suggest the convenience of using other mathematical tools, such as Possibility Theory, that can model, not only uncertainty, but also imprecision and vagueness. In this paper, a possibilistic Cournot Equilibrium is formulated by means of a possibilistic optimization problem, when the residual demand uncertainty is modeled with possibility distributions. Additionally two dual and complementary approaches are applied to compute a robust crisp solution using crisp optimization and some interesting results for a real-size electricity system show the robustness of the proposed methodologies when different risk attitudes for the agents are considered.

Palabras clave: Electricity market, Cournot game theory, Possibility Theory, Fuzzy programming

WSEAS Transactions on Business and Economics. Volumen: 3 Numero: 3 Páginas: 93-100

Publicado en papel: Marzo 2006.

F.A. Campos, J. Villar, J. Barquín. Robust Cournot strategies in electricity markets using possibilistic optimization. WSEAS Transactions on Business and Economics. vol. 3, no. 3, pp. 93-100, Marzo 2006.

    Líneas de investigación:
  • *Modelado, Simulación y Optimización
  • *Planificación táctica a medio plazo

pdf  Previsualizar
pdf Solicitar el artículo completo a los autores

Aviso legal  |  Política de cookies |  Política de Privacidad

© Universidad Pontificia Comillas, Escuela Técnica Superior de Ingeniería - ICAI, Instituto de Investigación Tecnológica

Calle de Santa Cruz de Marcenado, 26 - 28015 Madrid, España - Tel: (+34) 91 5422 800