POWER FLOW OPTIMIZATION FOR GRID CONNECTED INVERTER USING EVOLUTIONARY ALGORITHM AND ADDITIONAL CONTROL LOOP

Abstract

In this work it is proposed to validate an evolutionary tuning algorithm in plants composed by a grid connected inverter. The optimization aims the tuning of the slopes of P-omega and Q-V curves so that the system is stable, damped and minimum settling time. Simulation and experimental results are presented to prove the feasibility of the proposed approach. However, experimental results demonstrate a compromising effect of grid frequency oscillations in the active power transferring. In addition, it was proposed an additional loop to compensate this effect ensuring a constant active power flow.