Esprit 22695

SLOEGAT Project. Short and long-term Optimization of Energy Generation And Trading.

Funding Organization: European Union, ESPRIT Programme. December 1996 - May 1999.

Members and partners

UPC members
  • Narcís Nabona
  • F. Javier Heredia
  • Jordi Castro
  • José Antonio González
  • Universitat Politècnica de Catalunya
  • Universidad de Aachen
  • Iberdrola
  • VEW Alemania
  • SIEMENS Austria

Introduction and Objectives

The project aims to develop, implement and test --on a high performance computing platform-- a software system for simulating and optimizing the planning process for energy generation and trading coordination in large electricity generating systems, both in the short- (1 day-1 week) and medium- to long-term (one-two years). In this process, special consideration will be given to the growing importance of energy trading problem in a deregulated market.

The goal is to develop and implement suitable mathematical algorithmic approaches for a parallel, high-performance environment, so that the solution times for a large-size case of the above problem lies in the range of:

-  10-15 minutes for the short term planning problem, and

-  0,5-1 hour for the medium- and long-term planning problem

The currently available systems cannot attempt to solve the problem optimally. They only provide implementable solutions by addressing the problem as a sequence of subproblems which, on the one hand require a computing effort that should be affordable to present systems and, on the other hand, do not by any means  guarantee the global optimum of the solution. The proposed project addresses the improvement of both the quality (better planning, lower costs) and the efficiency (less response time) of the electric power planning and management-related activities of the electric utilities.



  • J. Castro, J.A. González, HTCOOR Program documentation , Technical Report DR 2000/12, Dept. of Statistics and Operations Research, Universitat Politècnica de Catalunya, 2000. 

Conference presentations

  • J. Castro, Computational experience with a parallel implementation of an interior-point algorithm for multicommodity flows, 19th IFIP TC7 Conference on System Modelling and Optimization, Cambridge (England), July 1999.