Title :
Dynamic stability enhancement of power system using PSO optimized fuzzy power system stabilizer
Author :
Arora, Ritika ; Dahiya, Surender
Author_Institution :
Dept. of Electr. Eng., D.C.R. Univ. of Sci. & Technol., Sonepat, India
Abstract :
This paper presents the PSO optimized fuzzy logic power system stabilizer (FPSS) to enhance the dynamic stability of the entire power system using PHILLIPS HEFFRON MODEL for single machine infinite bus (SMIB) system. Various input and output parameters of the fuzzy logic controller are optimized using the Particle swarm optimization (PSO) technique to achieve better results and enhanced stability. Out of the various choices for input to the fuzzy logic controller, the angular speed deviation Aio and acceleration Δώ are taken as the input to fuzzy logic controller. Moreover the behavior of the conventional controller, fuzzy logic controller and PSO optimized FPSS is compared for various parameters.
Keywords :
fuzzy control; particle swarm optimisation; power system dynamic stability; FPSS; PSO; PSO optimized fuzzy power system stabilizer; SMIB system; angular speed deviation; dynamic stability enhancement; fuzzy logic controller; particle swarm optimization; power system; single machine infinite bus system; Acceleration; Fuzzy logic; Niobium; Oscillators; Power system stability; Stability analysis; Zirconium; Fuzzy logic controller (FLC); Simulink; dynamic stability; power system stabilizer; swarm optimization (PSO);
Conference_Titel :
Power India International Conference (PIICON), 2014 6th IEEE
Print_ISBN :
978-1-4799-6041-5
DOI :
10.1109/34084POWERI.2014.7117618
