TY - GEN
T1 - PSO based predictive nonlinear Automatic Generation Control
AU - Yousuf, Muhammad S.
AU - Al-Duwaish, Hussain N.
AU - Al-Hamouz, Zakariya M.
PY - 2010
Y1 - 2010
N2 - This paper presents a newly proposed Model Predictive (MPC) scheme featuring Particle Swarm Optimization (PSO) technique applied to nonlinear single area Automatic Generation Control (AGC). The proposed scheme formulates the MPC as an optimization problem and PSO is used to find its solution. Single area AGC model is used and it incorporates Generation Rate Constraint (GRC) nonlinearities and constraints on the control input. The simulations results show improvement over previous AGC methods reported in the literature and signify the strengths of the proposed MPC scheme. Furthermore, performance of controller is also explored for varying GRC values and power demands.
AB - This paper presents a newly proposed Model Predictive (MPC) scheme featuring Particle Swarm Optimization (PSO) technique applied to nonlinear single area Automatic Generation Control (AGC). The proposed scheme formulates the MPC as an optimization problem and PSO is used to find its solution. Single area AGC model is used and it incorporates Generation Rate Constraint (GRC) nonlinearities and constraints on the control input. The simulations results show improvement over previous AGC methods reported in the literature and signify the strengths of the proposed MPC scheme. Furthermore, performance of controller is also explored for varying GRC values and power demands.
KW - Automatic Generation Control
KW - Load frequency control
KW - Model predictive control
KW - Nonlinear predictive control
KW - Optimization problem
KW - Particle Swarm Optimization
UR - https://www.scopus.com/pages/publications/77957999398
M3 - Conference contribution
AN - SCOPUS:77957999398
SN - 9789549260014
T3 - 12th WSEAS International Conference on Automatic Control, Modelling and Simulation, ACMOS '10
SP - 87
EP - 92
BT - 12th WSEAS International Conference on Automatic Control, Modelling and Simulation, ACMOS '10
ER -