PSO based predictive nonlinear automatic generation control

Authors:
Muhammad S. Yousuf;Hussain N. Al-Duwaish;Zakariya M. Al-Hamouz
Affiliations:
Department of Electrical Engineering, King Fahd University of Petroleum & Minerals, Dhahran, Kingdom of Saudi Arabia;Department of Electrical Engineering, King Fahd University of Petroleum & Minerals, Dhahran, Kingdom of Saudi Arabia;Department of Electrical Engineering, King Fahd University of Petroleum & Minerals, Dhahran, Kingdom of Saudi Arabia
Venue:
ACMOS'10 Proceedings of the 12th WSEAS international conference on Automatic control, modelling & simulation
Year:
2010

Citing 2
Cited 1

Model predictive control: theory and practice—a survey

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On the computation of all global minimizers through particle swarm optimization

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PSO based single and two interconnected area predictive automatic generation control

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Abstract

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.