DocumentCode :
3591573
Title :
Frequency control of multi-area power system network using PSO based LQR
Author :
Kumari, Naresh ; Jha, A.N.
Author_Institution :
Dept. of Electr., Electron. & Commun. Eng., ITM Univ., Gurgaon, India
fYear :
2014
Firstpage :
1
Lastpage :
6
Abstract :
The mathematical modeling of two area network with interconnected thermal power systems has been done on the state space and an optimal control system technique known as Linear Quadratic Regulator (LQR) along with proportional integral (PI) controller is designed for the frequency response enhancement of the system in this paper. The PI controller gains are taken as the optimal state-feedback gains along with other state variables of the system for automatic generation control(AGC). The reheat turbine for thermal areas have been considered for the system. When the load on the system changes the variation in the frequency should be minimum for a system with properly designed automatic generation control. To enhance the frequency response against the load changes, the optimal controller known as Linear Quadratic Regulator (LQR) is tuned by powerful computationally intelligent technique Particle Swarm Optimization (PSO). In the present work first the block diagram of the two area interconnected thermal power system is designed. Then the state equations for the power system are obtained for the different states in the block diagram to develop the state space model. The proposed PSO based LQR technique for automatic load frequency control of two area thermal power system has been developed by using MATLAB/SIMULINK.
Keywords :
PI control; frequency control; frequency response; linear quadratic control; particle swarm optimisation; power generation control; thermal power stations; MATLAB; PI controller; PSO based LQR; SIMULINK; automatic generation control; automatic load frequency control; frequency response enhancement; interconnected thermal power system; linear quadratic regulator; multi-area power system network; optimal controller; optimal state-feedback gain; particle swarm optimization; proportional integral controller; reheat turbine; state equations; state space model; Aerospace electronics; Frequency control; MATLAB; Mathematical model; Power systems; Regulators; Turbines; Automatic generation control; Linear Quadratic Regulator; PI controller; Particle Swarm Optimization; Transfer Function; optimal control; state equations; state space model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power India International Conference (PIICON), 2014 6th IEEE
Print_ISBN :
978-1-4799-6041-5
Type :
conf
DOI :
10.1109/34084POWERI.2014.7117761
Filename :
7117761
Link To Document :
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