Recent Study on Optimal Economic Dispatch in Microgrids with Renewable Energy Sources

Due to the opening of the energy market and agreements for the reduction of pollution emissions, the
use of microgrids attracts more attention in the scientific community, but the management of the
distribution of electricity has new challenges. This paper considers different distributed generation
systems as a main part to design a microgrid and the resources management is defined in a period
through proposed dynamic economic dispatch approach. The inputs are obtained by the model
predictive control algorithm considering variations of both pattern of consumption and generation
systems capacity, including conventional and renewable energy sources. Furthermore, the proposed
approach considers a benefits program to customers involving a demand restriction and the costs of
regeneration of the pollutants produced by conventional generation systems. The dispatch strategy
through a mathematical programming approach seeks to reduce to the minimum the fuel cost of
conventional generators, the energy transactions, the regeneration of polluted emissions and, finally,
includes the benefit in electricity demand reduction satisfying all restrictions through mathematical
programming strategy. The model is implemented in LINGO 17.0 software (Lindo Systems, 1415
North Dayton Street, Chicago, IL, USA). The results exhibit the proposed approach effectiveness
through a study case under different considerations. The improve operation of the analyzed microgrid
is achieved due that the proposed problem formulation regards different variables and possible
scenarios of loads and renewable energy generation capacity. The obtained results by the proposed
algorithm in 24 periods of analysis in the study interval, guarantee that the output adjustment level of
each generator of the microgrid can be defined in the best possible value.