Title :
Design an optimized power system stabilizer using NSGA-II based on fuzzy logic principle
Author :
Babaei, Ebrahim ; Golestaneh, Faranak ; Shafiei, Mohammadsajjad ; Galvani, Sadjad
Author_Institution :
Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz, Iran
Abstract :
Damping of electro-mechanical oscillations in interconnected power systems is important to guarantee secure and stable operation of the system. Power system stabilizers (PSSs) are applied to damp these oscillations. To overcome flows associated with conventional algorithm of PSS design, a modified version of non-dominated sorting genetic algorithm is used to regulate the PSS parameters in this paper. Additionally, fuzzy logic principle is employed to develop PSS in order to improve the stability and reliability of the power systems subjected to disturbances. Two-area (four-machine) power system is considered as the case study in this paper. PSS parameters are obtained for four PSS connected to four generators. The effectiveness of the proposed algorithm in damping the system oscillations during overall disturbances is evaluated. The simulation results illustrate this issue.
Keywords :
control system synthesis; damping; fuzzy control; genetic algorithms; optimal control; power system interconnection; power system reliability; power system stability; NSGA-II; electro-mechanical oscillation damping; fuzzy logic principle; interconnected power system; nondominated sorting genetic algorithm; optimized power system stabilizer; power system reliability; stable operation; Fuzzy logic; Generators; Niobium; Optimization; Oscillators; Power system stability; Stability analysis; Power system stablizer; fuzzy logic control; non-dominated sorting genetic algorithm;
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on
Conference_Location :
Niagara Falls, ON
Print_ISBN :
978-1-4244-9788-1
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2011.6030540