The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL
Transactions ID Number: 88-128
Full Name: Muhammad Salman Yousuf
Position: Researcher
Age: ON
Sex: Male
Address: P O Box 76 KFUPM, Dhahran
Country: SAUDI ARABIA
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E-mail address: salmanyousuf@gmail.com
Other E-mails: syousuf@kfupm.edu.sa
Title of the Paper: PSO based Single and Two Interconnected Area Predictive Automatic Generation Control
Authors as they appear in the Paper: Muhammad S. Yousuf, Hussain N. Al-Duwaish, Zakariya M. Al-Hamouz
Email addresses of all the authors: syousuf@kfupm.edu.sa, hduwaish@kfupm.edu.sa, zhamouz@kfupm.edu.sa
Number of paper pages: 14
Abstract: This paper presents a Particle Swarm Optimization (PSO) based Model Predictive Control (MPC) scheme applied to Automatic Generation Control (AGC) systems. The proposed scheme formulates the MPC as an optimization problem and PSO is used to find its solution. Single area AGC model is taken incorporating Generation Rate Constraint (GRC) nonlinearities and constraints on the control input. Two interconnected area AGC system excluding nonlinearity is also studied. The simulation results draw several comparisons to preceding literature showing significant improvements and signifying the strengths of the proposed MPC scheme. Furthermore, performance of controller is also explored for varying power demands, different GRC values and parameter variations.
Keywords: Model Predictive Control, Particle Swarm Optimization, Automatic Generation Control, Load Frequency Control, Nonlinear Predictive Control, Optimization Problem
EXTENSION of the file: .pdf
Special (Invited) Session: PSO Based Predictive Nonlinear Automatic Generation Control
Organizer of the Session: 645-140
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