Control of grid connected inverters using minimum variance adaptive architecture

This paper presents a system identification based minimum variance architecture for active and reactive power control of a Grid Connected Inverter (GCI). The controller is adaptive as the parameters in the control law are updated online based on identification that relate the output (active and reactive power) and the input (direct and quadrature axis voltage references). The main advantage of the proposed controller is the simplicity in design and its adaptability under varying operating conditions. The paper discusses the design of the controller and presents the simulation results from tests performed using MATLAB SimPowerSystems along with the Hardware-in-the-loop (HIL) implementation. The results show that the proposed controller can be a better alternative to the existing cascaded PI based vector control for grid connected inverters.