Abstrait

Design of a Novel Intelligent Damping Controller for UPFC in Power System Connected Offshore Wind Power Applications

Whei-Min Lin , Kai-Hung Lu

This paper proposes a unified power flow controller (UPFC)-based oscillation damping controller for use with a permanent magnet synchronous generator (PMSG)-based offshore wave farm (OWF). A novel intelligent damping controller (NIDC) was used to increase the stability of power control and improve the performance, where the proposed NIDC consists of the adaptive critic network, the Functional Link based Elman Neural Network (FLENN), and PID linear damping controller. The UPFC is used with the NIDC to OWF, which is connected to a single-machine infinite-bus to improve system stability. The PID damping controller is analysis of complex eigenvalues based on a theory of modal control. The node connecting weights of the FLENN and critic network are trained online. The proposed NIDC can be used to achieve better damping characteristics. The internal power fluctuations in the power system can also be effectively alleviated under variable wind power generation