Power response optimization of inverter grid parallel operation using V-ω and Q-V curves, and phase feedback based on genetic algorithm

The aim of this work is to optimize the response of a scheme to parallel an inverter to the grid. The approach not only is based on P-ω and Q-V curves, but also in phase angle feedback. This scheme requires determination of 4 parameters (K_d, K_p, K_v, ω_f), which interfere in the power dynamic response (overshoot and rise time). Trial and error method was used in the past resulting in poor performance. In this work, genetic algorithm is used to find the parameters set that leads to near optimum response. A brief review of the paralleling approach and the GA based methodology is presented; simulation results are given showing its feasibility.