Title :
Evolutionary fuzzy control of flexible AC transmission system
Author :
Lu, Chun-Feng ; Juang, Chia-Feng
Author_Institution :
Dept. of Electr. Eng., Chung Chou Inst. of Technol., Yuan-Lin, Taiwan
fDate :
7/8/2005 12:00:00 AM
Abstract :
A fuzzy-controller design by the hybrid of genetic algorithm and particle-swarm optimisation (F-HGAPSO) is employed for a thyristor-controlled series capacitor (TCSC) to improve the transient stability of flexible AC transmission systems (FACTS). According to the variation of rotation speed, a fuzzy controller decides an approximate series capacitance to achieve a better dynamic response of FACTS. To design the fuzzy controller, a new design approach, the F-HGAPSO, is proposed. F-HGAPSO introduces the concept of the maturing phenomenon in nature into the evolution of individuals originally modelled by a genetic algorithm. The maturing phenomenon is mimicked by particle-swarm optimisation, where individuals enhance themselves based on social interactions and their private cognition. Simulations and comparisons with other approaches have demonstrated the effectiveness and efficiency of the proposed F-HGAPSO.
Keywords :
dynamic response; flexible AC transmission systems; fuzzy control; genetic algorithms; power capacitors; power system transient stability; power transmission control; thyristors; FACTS; TCSC; dynamic response; flexible AC transmission system; fuzzy control; genetic algorithm; particle-swarm optimisation; series capacitance; thyristor-controlled series capacitor; transient stability;
Journal_Title :
Generation, Transmission and Distribution, IEE Proceedings-
DOI :
10.1049/ip-gtd:20045052