NEURAL NETWORK BASED UHVDC FOR ENHANCEMENT OF TRANSIENT COMPENSATION IN OFFSHORE WIND POWER PLANT

Abstract

This paper presents a novel neural network controller improving compensation of transients and fast power transfer between a large scale offshore wind power plant and onshore high voltage direct current transmission (HVDC). The onshore HVDC is reconfigured with series and shunt compensators which named as unified-HVDC. In proposed work, the transient management scheme is done using DQ control technique. The compensation component is determined in such a way to minimize power oscillation and overshoots. The proposed control technique is analyzed using proportional integral (PI) controller and neural network controller. The test system is evaluated in MATLAB simulink environement.