Active management of renewable energy sources for maximizing power production
A decentralized control strategy for DG based on Neural Networks is presented. The innovative control strategy is capable to maximize active power production by DG. The proposed strategy presents a unified controller for inverter connected DG plants. The control actions do not require massive communication infrastructures. The controller immunity from unforeseen operation variations has been proved.
renewable energy sources neural network distributed generation distribution networks reactive power support voltage control