Over time the electric market has been growing with the insertion of several sources, in addition to storage devices, given this panorama, the question arises of how to dispatch the energy generated to meet the demand in a more economical and efficient way. This work presents the implementation of a mathematical model of mixed integer nonlinear programming for the problem of Alternating Current Optimal Power Flow (ACOPF) using the GAMS software. In order to solve the problem of allocation and optimal operation of storage devices in microgrids, as well as the optimal cycle of loading and unloading of this devices in a way to minimize system operational costs. The model observes grid constraints, such as the voltage profile within permissible limits, as well as the intermittency of renewable sources based on wind and solar energy, represented by variable dispatches during the operation. To...

Over time the electric market has been growing with the insertion of several sources, in addition to storage devices, given this panorama, the question arises of how to dispatch the energy generated to meet the demand in a more economical and efficient way. This work presents the implementation of a mathematical model of mixed integer nonlinear programming for the problem of Alternating Current Optimal Power Flow (ACOPF) using the GAMS software. In order to solve the problem of allocation and optimal operation of storage devices in microgrids, as well as the optimal cycle of loading and unloading of this devices in a way to minimize system operational costs. The model observes grid constraints, such as the voltage profile within permissible limits, as well as the intermittency of renewable sources based on wind and solar energy, represented by variable dispatches during the operation. To...

This paper proposes a procedure to minimize electrical losses present in industrial systems, through a specific program developed for this purpose, based on Genetic Algorithm, and written using MATLAB instructions.The minimization is realized with the placement of shunt capacitors connected to the buses. For validation of the proposed method, it is considered accuracy and speed, and the developed program´s results are compared with the results produced by traditional programs. The program avoids leading power factor at the bus connected with the power distribution company and the user may determine buses where he does not want the installation of capacitors. The Genetic Algorithm's fitness, responsible for guiding the optimization process, is the active power loss. Finally,  the program is applied to minimize active losses present at an industrial system, 38 buses.

This paper proposes a procedure to minimize electrical losses present in industrial systems, through a specific program developed for this purpose, based on Genetic Algorithm, and written using MATLAB instructions.The minimization is realized with the placement of shunt capacitors connected to the buses. For validation of the proposed method, it is considered accuracy and speed, and the developed program´s results are compared with the results produced by traditional programs. The program avoids leading power factor at the bus connected with the power distribution company and the user may determine buses where he does not want the installation of capacitors. The Genetic Algorithm's fitness, responsible for guiding the optimization process, is the active power loss. Finally,  the program is applied to minimize active losses present at an industrial system, 38 buses.