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DYNA
versión impresa ISSN 0012-7353
Resumen
TELLO-MAITA, Josimar y MARULANDA-GUERRA, Agustín. Optimization models for power systems in the evolution to smart grids: A review. Dyna rev.fac.nac.minas [online]. 2017, vol.84, n.202, pp.102-111. ISSN 0012-7353. https://doi.org/10.15446/dyna.v84n202.63354.
The present paper aims to describe the optimization models recently applied to the design and operation of power systems in the road to the formation of smart grids and to identify the trends, challenges and possible gaps existing in this field of study. The models described allow performing optimization of the design and operation of power systems considering aspects as renewable energies and its related variability, distributed generation and micro grids, demand-site management and energy storage systems. Conclusions point out that several of the models recently formulated need to be validated with real data and large-scale systems tests. Moreover, demand-site management and micro grids are aspects that lack of the development of complete optimal power flow models. Finally, the accurate forecasting of stochastic variables is necessary to accomplish a better adaptation of models to real behavior of the power system.
Palabras clave : optimization; renewable energies; smart grids; optimal power flow..