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

• Members and partners
• Introduction and Objectives
• Results
  • Publications
    
  • Conference presentations 

Members and partners

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:
 

-  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.
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Results

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

• J.A. González, J. Castro, The long-term hydrothermal coordination model implemented in the HTCOOR package , Research Report DR 2000/11, Dept. of Statistics and Operations Research, Universitat Politècnica de Catalunya, 2000.
  

• C. Beltran, F. J. Heredia, Augmented Lagrangean Relaxation and Decomposition Applied to the Short-Term Hydrothermal Coordination Problem, 19th IFIP TC7 Conference on System Modelling and Optimization, Cambridge, U.K., 12-16/07/1999. 

• 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. 

• F. J. Heredia, Computational study of NOXCB: an optimization code for the nonlinear network flow problem with linear side constraints, 19th IFIP TC7 Conference on System Modelling and Optimization, Cambridge, U.K., 12-16/07/99.
• N. Nabona, Probabilistic long-term coordination of hydrothermal electric power generation using a multi-interval Bloom and Gallant model and expected hydrogeneration contribution functions, 19^th IFIP TC7 Conference on System Modelling and Optimization, Cambridge University, Cambridge, G.B, 1999.
• C. Beltran, F. J. Heredia, Short-Term Hydrothermal Coordination by Augmented Lagrangean Relaxation: a new Multiplier Updating, IX Congreso Latino-Iberoamericano de Investigación Operativa, Buenos Aires, Argentina, 31-4/08/98. 
• F. J. Heredia, N. Nabona, Planificación Hidrotérmica a Corto Plazo. Optimización de un modelo acoplado de flujos no lineales en red, XVIII Congreso Nacional de Estadística e Investigación Operativa, València, Spain, 11-14/03/1997.
• N. Nabona, Solutions to the short-term hydrothermal coordination of electricity generation by specialized QP IP algorithms,  Euro XV – Informs XXXIV Joint International Meeting. Universidad  Politècnica de Catalunya, Barcelona, 1997.