Design of a novel intelligent damping controller for unified power flow controller in power system connected offshore power applications

Abstract

This study proposes a unified power flow controller-based oscillation damping controller for use with a permanent magnet synchronous generator-based offshore power farm. A novel intelligent damping controller (NIDC) was used to increase the stability of power control and improves the performance, where the proposed NIDC consists of the adaptive critic network, the functional link-based Elman neural network (FLENN), the genetic ant colony optimisation algorithm (GACO) and proportional-integral-derivative (PID) linear damping controller. The PID damping controller analyses complex eigenvalues based on the theory of modern control. The node connecting weights of the FLENN and critic network are trained online. A GACO approach is developed to adjust the learning rates and thus improve the learning ability. The proposed NIDC can achieve better damping characteristics, and the internal power fluctuations can also be effectively alleviated.