Predictive PI Control for Maximum Power Point Tracking and DC-Link Voltage Regulation of PMVG-Based Wind Turbine Systems

Abstract

Achieving maximum power extraction and reliable power transfer from the wind turbine systems (WTSs) to the grid network is essential. Hence, machine and grid-side converters utilize cascaded proportional-integral (PI) controllers to achieve the abovementioned objective. However, the conventional controller's performance gets delayed due to mismatched machine parameters and slow dynamic response. Therefore, this study aims to propose an advanced control method combining the predictive scheme principle and PI control's merits for maximizing the power extraction from permanent magnet vernier generator (PMVG)-based WTS. For this purpose, a generalized predictive approach-based PI scheme is initially presented in the machine-side converter to regulate the generator speed. Similarly, the same approach-based dc-link voltage control is presented in the grid side converter to handle the capacitor voltage and optimize the power delivery at the point of common coupling. Further, the stability conditions of designed controllers are verified by carrying out pole placement analysis. Finally, the superiority of the proposed methods is demonstrated using the simulation and experimental configuration of a grid-connected 5 kW PMVG-based WTS.