Title :
Intelligent predictive control methods for synchronous power system
Author :
Yousuf, Muhammad S. ; Rizvi, S.Z. ; Al-Duwaish, Hussain N.
Author_Institution :
Electr. Eng. Dept., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Abstract :
In this paper, an intelligent Model Predictive Controller (MPC) for a Synchronous Power Machine on Infinite Bus (SMIB) is proposed. Owing to the nonlinear and multi-variable nature of the SMIB system, calculating optimal control signals can be difficult. To solve this problem, a novel scheme of predictive controller in tandem with heuristic optimization algorithms is proposed. Numerical simulations are carried out and performance of the controller under different conditions and in combination with different optimizers is analysed in detail. Comparison is made with the performance of existing SMIB controllers present in the literature and improvements are observed.
Keywords :
intelligent control; optimal control; optimisation; power system control; predictive control; synchronous machines; heuristic optimization; infinite bus; intelligent control; model predictive controller; numerical simulations; optimal control signals; power system; synchronous power machine; Equations; Genetic algorithms; Mathematical model; Optimization; Power system stability; Predictive models;
Conference_Titel :
Computational Intelligence in Control and Automation (CICA), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9902-1
DOI :
10.1109/CICA.2011.5945742
