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Key words

  • Electricity markets
  • Renewable energies
  • MIBEL
  • Optimization
  • Mathematical programming modeling
  • Operations research
  • Electric power systems
  • Electricity generation management

Group on Numerical Optimitzation and Modeling

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General description of the activity

For over two decades the energy team of the GNOM group has been developing and applying advanced optimization procedures as well as mathematical modeling solutions to Power Systems. Publicly funded research projects and industrial projects have been carried out over the years on a national and international level with finantial support of the Spanish administration and with the cooperation of several European electric utilities. The expertise of the GNOM group in electricity market optimization relies on a deep knowledge of the Iberian Electricity Market (MIBEL).

  • The short-term focus (one day to one week) entails the development of stochastic programming models for the joint optimization of the generation bid to the day-ahead, AGC (reserve) and intraday markets, while taking into account futures and bilateral contracts, greenhouse emission constraints and risk.
  • In the medium term (a few-months to  two-years) our procedures address the equilibrium solution of generation planning in pure pool or mixed markets with bilateral contracts, taking into account the impact of wind power and photovoltaic generation, as well as emission caps. Stochastic programming techniques are employed and constraints to limit the risk of profit loss are included.

Specific areas of research energy field

  • Mathematical modeling of electric power system operation, and of generation management in medium and in short term, and in on-line optimization (state estimation, secure optimum dispatch and contingency analisys)
  • Optimal management of classical, low-emission, and emission-free generation technologies in an electricity market.
  • Integration of renewable energies in the electricity markets.
  • Optimal management and operations of emerging  energy technologies (microgrids, wind-hydro systems,…)
  • Optimal management of emission limits.