Dynamic adaptation of droop control curves for microgrid connected inverters with variable input power

In this work a strategy for response dynamic optimization of a microgrid composed of an infinite bus (utility) and two inverters is proposed. Through the differential evolution technique, the optimized parameters of the droop control characteristics for operation in several equilibrium points are obtained. With an artificial neural network, these parameters are corrected for each operating point in order to ensure the stability as well as reduced settling time and damped response free of overshoot. The stability after changes in the operation point and the generalized dynamic response optimization are evaluated through simulation results using the software Matlab/Simulink
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and experimental results of the proposed microgrid.