Fast fault recovery of a grid integrated wind farm based HVDC Light transmission system

Abstract

Worldwide, wind energy is accepted as one of the foremost developed, cost-effective and proven renewable energy technologies to satisfy increasing electricity demands in an exceedingly sustainable manner. This paper investigates the fast AC fault recovery capability, fast and independent control of active and reactive power of the HVDC Light transmission system. These capabilities are most desired in future grids with high penetration of renewable energy sources like wind and solar. A negative sequence current controller is implemented for the wind turbine generator to mitigate the power oscillations and dc link voltage excursions within the HVDC Light system during fault conditions. Converters are controlled through adaptive neuro fuzzy inference system (ANFIS). The study system consisting of synchronous generator, a doubly fed induction generator (DFIG) based wind farm and voltage source converter based HVDC Light transmission system is modeled in Matlab/ Simpower Systems software. Simulation studies are carried out to demonstrate the effectiveness of the model for steady state and dynamic conditions.