Performance evaluation of an intelligent decoupled stationary reference PLL for grid synchronization of five-phase wind power conversion system

Autor: Chandramohan, Kalaivani, Rajambal, K.
Zdroj: Journal of Ambient Intelligence and Humanized Computing; 20240101, Issue: Preprints p1-17, 17p
Abstrakt: The one of most prominent issues of wind power conversion system (WPCS) is grid synchronization. Grid connected high power wind generation is the most potent growing technology with advances in megawatt capacity wind turbine, large power generators and power converters. Large power WPCS demands multiphase induction generator possessing more advantages which prevails the three-phase generator. This paper incorporates the vital converters and controller for building a model of grid interfaced five-phase WPCS. This study is developed in Matlab. A new hybrid Decoupled stationary reference frame phase-locked loop (dαβPLL) is employed for synchronization of grid which combines the advantages of double decoupled synchronous reference frame PLL (ddsrfPLL) and stationery reference frame PLL (αβPLL). The simulation results from the developed model investigate the machine functionality and power output for varying wind velocities. The enumerated modeling aspect represents the system response for various wind speeds. The paper confirms the competence of five-phase induction generator (FPIG) with better fault tolerance and significant power output with decrease in phase current. This investigation proposes and compares the different PLLs for various grid fault conditions and suggests dominance of the proposed Decoupled stationary reference PLL (dαβPLL).
Databáze: Supplemental Index