Simulation of micro-grid energy storage inverter with neural network control

The study for inverter control was researched under the simulation system of single deviation-grid micro-grid energy storage inverter, the inverter output voltage and current waveforms under various conditions were obtained. The inverse model of the micro-grid energy storage inverter was identified based on the algorithm of back-propagation artificial neural network, and then the neural network internal model control scheme based on the design of inverse system was adopted to improve the power quality of the inverter output. The control scheme of the micro-grid energy storage inverter was realized by the Matlab/simulink platform, a simulation study was carried out. Results show that the neural network internal model control scheme based on the design of the inverse system has a better effect on controlling inverter compared to the conventional PI controller, and can be applied in the control system design of the micro-grid energy storage inverter.