This paper presents a binary search algorithm
to deal with binary variables in mixed integer optimization
problems. One example of this kind of problem is the optimal
operation of hydrogen storage and energy sale and purchase
into a microgrids context. In this work was studied a system
composed by a microgrid that has a connection with the
external electrical network and a charging station for electric
cars. The system modeling was carried out by the Energy
Hubs methodology. The proposed algorithm transforms the
MIQP (Mixed Integer Quadratic Program) problem into a QP
(Quadratic Program) that is easier to solve. In this way the
overall control task is carried out the electricity purchase and
sale to the power grid, maximizes the use of renewable energy
sources, manages the use of energy storages and supplies the
charge of the parked vehicles.Ministerio de Economía y Competitividad DPI2013-46912-C2-1-RUniversidad de Sevilla CNPq401126/2014-5Universidad de Sevilla CNPq303702/2011-
