On-line optimization of the power supplied in a microgrid prototype

This paper presents the power supply on-line optimization in a Microgrid prototype. The power supply is formulated as a linear programming problem. With this formulation, a new recurrent neural network which solves linear programming is proposed and applied to the supply problem. The main features of the proposed system are the fixed convergence time to the programming solution and the fixed parameters number despite of the optimization problem dimension. That is, there is a time independent to the initial conditions in which the system converges to the solution and, the proposed structure can be easily scaled from a small to a higher dimension problem.