Robust optimization based energy dispatch in smart grids considering demand uncertainty
European Workshop on Advanced Control and Diagnosis (ACD)
In this study we discuss the application of robust optimization to the problem of economic energy dispatch in smart grids. Robust optimization based MPC strategies for tackling uncertain load demands are developed. Unexpected additive disturbances are modelled by defining an affine dependence between the control inputs and the uncertain load demands. The developed strategies were applied to a hybrid power system connected to an electrical power grid. Furthermore, to demonstrate the superiority of the standard Economic MPC over the MPC tracking, a comparison (e.g average daily cost) between the standard MPC tracking, the standard Economic MPC, and the integration of both in one-layer and two-layer approaches was carried out. The goal of this research is to design a controller based on Economic MPC strategies, that tackles uncertainties, in order to minimise economic costs and guarantee service reliability of the system.
Robust optimization, smart grids, demand uncertainty
M. Nassourou, V. Puig and J. Blesa. Robust optimization based energy dispatch in smart grids considering demand uncertainty, 13th European Workshop on Advanced Control and Diagnosis, 2016, Lille, Vol 783 of Journal of Physics: Conference Series, pp. 012033, 2017.