Hydrothermal coordination in the short- and long-term of electricity generation in a competitive market.

Funding Organization: Ministerio de Educación y Ciencia. January 2003 - December 2005.


UPC members
  • Narcís Nabona
  • F. Javier Heredia
  • Adela Pagés
  • Marcos J.  Rider
  • Albert Ferrer
  • Cristina Corchero 
  • Matteo Tesser
  • Jacek Gondzio
  • Eugenio Mijangos
  • Universitat Politècnica de Catalunya (UPC
  • Unión Fenosa

Introduction and objective

Several types of optimization techniques are employed for solving different problems in the hydrothermal coordination of electricity generation for an electric utility in a competitive environment (with generation bids).  The problem of long-term coordination is solved through a multi-interval Bloom and Gallant model, and that of the short-term coordination through Lagrangian relaxation techniques that consider several ways of solving the hydrothermal scheduling subproblems. There is also an attempt at finding a solution for several of the final subproblems in the goal optimization.

We rely on the cooperation of several electricity generation utilities for the supply of data, the details of their specific exploitation circumstances, and the analysis of results that are obtained from the developed codes.



  • N. Nabona, A. Pagès, A three-stage short-term electric power planning procedure for a generation company in a liberalized market. International Journal of Electric Power Systems. Volumen 29(5) (Junio 2007) 408 - 421.
  • A. Ferrer, Applying global optimization to a problem in short-term hydrotermal scheduling. Nonconvex Optimization and its Applications,(2005) Springer, 77:263-285.
  • A. Ferrer, Applicability of deterministic global optimization to the short-term hydrothermal coordination problem, (2004) UPC, Barcelona, España. DL:B.43567-2004   

Conference presentations

  • A. Pagès, N. Nabona, Column generation methods and a heuristic for solving the long-term electric power planning problem. SIAM Optimization Conference 2005 City Conf. Center, Estocolmo, Suecia. Mayo 2005. 
  • A. Pagès, J. Gondzio, N. Nabona, Interior point solution for the long term electric power planning problem using the Bloom and Gallant formulation, 22 Congreso IFIP TC7 on System Modeling and Optimization,  Torino (Italia), Julio 2005.
  • N. Nabona, Efficient IP methods to solve the short-term electric generation scheduling problem. Convergence principles and ill-conditioning,  Computational Management Science Conference, Université de Neuchâtel, Suiza, Abril 2004.