DocumentCode :
554945
Title :
Design of PSO-based fuzzy gain scheduling PI controller for four-area interconnected AGC system after deregulation
Author :
Guolian Hou ; Lina Qin ; Xinyan Zheng ; Jianhua Zhang
Author_Institution :
North China Electr. Power Univ., Beijing, China
fYear :
2011
fDate :
11-13 Aug. 2011
Firstpage :
72
Lastpage :
76
Abstract :
A fuzzy gain scheduling PI controller based on particle swarm optimization (PSO) is proposed for multi-area interconnected automatic generation control (AGC) system after deregulation in this paper. Approved PSO algorithm has been used for optimizing parameters of fuzzy logic controller to maintain global optimum. This control scheme adopts new area control error (ACE) which takes time error and inadvertent interchange accumulation into account. Distribution company (DISCO) participation matrix (DPM) is introduced to simulate the bilateral contracts. The proposed approach achieves better dynamic performance compared with conventional proportional and integral (PI) controller and fuzzy logic controller (FLC) in four-area reheat thermal and hydro AGC system.
Keywords :
PI control; contracts; control system synthesis; electricity supply industry deregulation; fuzzy control; hydroelectric power stations; particle swarm optimisation; power generation control; power system interconnection; thermal power stations; DISCO participation matrix; PSO-based fuzzy gain scheduling PI controller design; area control error; automatic generation control system; bilateral contract simulation; distribution company participation matrix; four-area interconnected AGC system; four-area reheat hydro AGC system; four-area reheat thermal AGC system; fuzzy logic controller; inadvertent interchange accumulation; parameter optimization; particle swarm optimization; time error; Control systems; Dynamic scheduling; Hydraulic turbines; Niobium; Particle swarm optimization; Presses;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Mechatronic Systems (ICAMechS), 2011 International Conference on
Conference_Location :
Zhengzhou
Print_ISBN :
978-1-4577-1698-0
Type :
conf
Filename :
6024977
Link To Document :
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