Plenary Lecture, ARTIFICIAL INTELLIGENCE, KNOWLEDGE ENGINEERING and DATA BASES (AIKED '09), Cambridge, UK, February 21-23, 2009

Plenary Lecture

Computational Intelligence Techniques in Solving Power System Problems

Associate Professor Ismail Musirin
Centre of Electrical Power Engineering Studies (CEPES)
Faculty of Electrical Engineering
Universiti Teknologi MARA

Abstract: This plenary lecture presents the application of computational intelligence techniques in solving power system problems. In power system, the transmission grid network is normally very large and bulky; therefore the on-line study is normally not recommended due to their complexity. In order to solve this, offline study is the most recommended technique; representing the system models into their mathematical relationship and solve them using any optimization techniques. Amongst the popular computational intelligence techniques are Genetic Algorithm (GA), Evolutionary Programming (EP), Artificial Immune System (AIS), Particle Swarm Optimization (PSO) and Ant Colony Optimization Technique (ACO). In this lecture, the applications of EP, AIS, PSO and ACO in solving various power system optimization problems will be addressed, such as; maximum loadability identification for power system load, reactive power planning schemes and economic power dispatch. In maximum loadability identification, the maximum permissible load is optimized for several selected load buses; which allows the power system operators to identify the weak and secure buses in the system. Reactive power planning is a scheme used to alleviate voltage limit in a system through voltage stability improvement technique and/or loss minimization. Implementations on reliability test systems revealed their feasibility for further implementation on practical systems. On the other hand, economic power dispatch is used to determine the amount of power to be dispatched by the generators within the acceptable economic constraints. Comparative studies of various optimization techniques highlighted the most suitable computational intelligence optimization techniques for a particular power system problem.

Brief Biography of the Speaker:
Assoc. Prof. Dr. Ismail Musirin is currently the Chair, Centre of Electrical Power Engineering Studies (CEPES), Faculty of Electrical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia. He received Bachelor of Electrical Engineering (Hons) from University of Technology Malaysia (UTM) in 1990, MSc in Pulsed Power Technology from University of Strathclyde, United Kingdom and PhD in Electrical Engineering from Universiti Teknologi MARA (UiTM) in 2005. As of now, he has initiated the 1st International Power Engineering and Optimization Conference (PEOCO) held in June, 2007. The 2nd PEOCO2008 was organized in June 2008 and 3rd PEOCO will be organized in June 2009, where he is the organizing chair. He has reviewed numerous technical papers for publication in the IEEE transactions and conferences, IET journals, WSEAS transactions and conferences and several conferences and journals. He has published more than 100 technical papers in the international journals and conferences. His research interest includes computational intelligence, power system optimizations, voltage stability studies, loss minimizations, reactive power control schemes and computational mathematics.



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