Open AccessDesign of a novel intelligent damping controller for unified power flow controller in power system connected offshore power applications
Author(s) -
Lin WheiMin,
Lu KaiHung,
Ou TingChia
Publication year - 2015
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2014.1188
Subject(s) - control theory (sociology) , controller (irrigation) , pid controller , electric power system , control engineering , artificial neural network , open loop controller , computer science , intelligent control , permanent magnet synchronous generator , power (physics) , engineering , control (management) , artificial intelligence , magnet , temperature control , mechanical engineering , physics , closed loop , quantum mechanics , agronomy , biology
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.