Adaptive Droop-Based Control for Active Power Sharing in Autonomous Microgrid for Improved Transient Performance

This article presents a decentralized adaptive droop-based control for active power sharing between the parallel inverters in autonomous microgrids. This article is focused on improving the transient performance of the system proposing a robust controller. The analysis does not require load current measurement where the Lyapunov analysis-based control takes load current as a disturbance to the system. The mathematical analysis takes a more practical form of LC filter configuration where the dynamics due to resistances across the LC is also considered. Controller gain conditions are considered by employing a detailed Lyapunov analysis. A comparative study of the conventional droop control with the proposed adaptive droop control is included in this article. MATLAB has been employed as the Simulink platform for the comparative study. In addition, for experimental verification, an FPGA-based hardware setup has been developed and the related results are presented to verify the real-time operation of the proposed adaptive control.

Automated summary

This article introduces a decentralized adaptive droop-based control for active power sharing between parallel inverters in autonomous microgrids, focusing on improving the transient performance of the system through proposing a robust controller. The proposed method does not require load current measurement and considers dynamics due to resistances across the LC filter configuration. Controller gain conditions are analyzed using a detailed Lyapunov analysis for practical application.