ANN Based HVDC Controller for Frequency Regulation of Power Systems with Wind Generation

This paper deals with the development of a Mat lab-simulink model of a new proposed scheme for grid connected off shore wind farm (OWF) on a VSC-HVDC Converter. The purpose of this simulation Model to getting better damping enhancement and voltage control. An equivalent PMSG is used here to operate the Off shore wind farm A frequency-domain approach based on a linearized system model using PQ theory techniques and a time-domain scheme based on a nonlinear system model subject to various disturbances are both employed to simulate the effectiveness of the proposed control scheme. In this paper we also implement the concept of artificial neural network, applied to the control strategy of HVDC controller. As the artificial neural network has the capability of better controlling of the system compared with the other conventional controllers. It can be concluded from the simulated results that the proposed ANN based HVDC joined with the designed damping controller is very effective to Balance the studied system under disturbance conditions.