LCL type grid-connected inverter control method and device

Abstract

The present application discloses a method and device for controlling an LCL-type grid-connected inverter. The method includes: obtaining a first state of a first LCL-type grid-connected inverter at a first moment, wherein the first state includes at least: two-phase current and two-phase voltage between the first LCL-type grid-connected inverter and the power grid, and two-phase current and two-phase voltage inside the first LCL-type grid-connected inverter; using a deep reinforcement learning model to analyze the first state, and making a decision to obtain a three-phase switching action of the first LCL-type grid-connected inverter, wherein the deep reinforcement learning model is obtained by iteratively training a deep Q network using multiple experience elements in an experience replay pool; and controlling the first LCL-type grid-connected inverter according to the three-phase switching action obtained by the decision. The present application solves the technical problem that when the related nonlinear control technology controls the LCL-type grid-connected inverter, there is poor control accuracy and control stability.