Title :
Comparison between multi-band and self-tuned fuzzy power system stabilizers
Author :
Hussein, T. ; Elshafei, A.L. ; Bahgat, A.
Author_Institution :
Electr. Power & Machines Dept, Cairo Univ., Cairo
Abstract :
Our purpose is to compare the performance of the IEEE standard multi-band power system stabilizer to that of a proposed self-tuned fuzzy stabilizer. The comparison is based on a bench mark system that consists of a 4-machine two-area power system. The objective is to damp local- and inter-area modes of oscillations that appear following large disturbances. The proposed stabilizer is hierarchical. It consists of two fuzzy systems. The first one provides an excitation signal while the second one acts online as a supervisor to tune the scaling factors of the first. The consequents of the rule base of the supervisory fuzzy system are set based on particle swarm optimization. Effects of loading conditions, fault locations, and loosing a generating unit are investigated by simulations. The merits of the proposed stabilizer are highlighted.
Keywords :
IEEE standards; damping; fault location; fuzzy control; particle swarm optimisation; power system control; power system stability; 4-machine two-area power system; IEEE standard; fault locations; multiband power system stabilizer; oscillation damping; particle swarm optimization; self-tuned fuzzy stabilizer; supervisory fuzzy system; Control systems; Frequency; Fuzzy logic; Fuzzy systems; Power system control; Power system faults; Power system interconnection; Power system modeling; Power system simulation; Power systems; fuzzy logic control; multi-machine system; power system stabilizer; supervisory control;
Conference_Titel :
Control and Automation, 2008 16th Mediterranean Conference on
Conference_Location :
Ajaccio
Print_ISBN :
978-1-4244-2504-4
Electronic_ISBN :
978-1-4244-2505-1
DOI :
10.1109/MED.2008.4602034
