Title :
Using artificial intelligence techniques for solving power systems problems at undergraduate level
Author :
King, Robert T F Ah ; Rughooputh, Harry C S
Author_Institution :
Mauritius Univ., Reduit, Mauritius
Abstract :
This paper describes the concept and use of artificial intelligence techniques for solving problems in electrical power systems in the final year of an undergraduate programme in Electrical and Electronic Engineering. Nowadays, the analysis and design of power systems involve numerical computer modeling and simulations. Besides the classical techniques, which are conventionally used for analyzing power systems, artificial intelligence techniques have come up as a logical solution to the large-scale, non-linear nature inherent in such systems as can be observed in power systems literature. The integration of these new techniques for power system analysis enables better understanding of the subject with hands-on practice on personal computers through simulations. Existing programmes in power systems in most universities can easily be extended to include a module in AI applications in power systems.
Keywords :
artificial intelligence; computer aided instruction; electrical engineering education; neural nets; power system analysis computing; Electrical and Electronic Engineering; artificial intelligence techniques; electrical power systems; power system analysis; power systems problems; problem solving; Analytical models; Artificial intelligence; Computational modeling; Computer simulation; Power engineering and energy; Power engineering computing; Power system analysis computing; Power system modeling; Power system simulation; Power systems;
Conference_Titel :
Industrial Technology, 2003 IEEE International Conference on
Print_ISBN :
0-7803-7852-0
DOI :
10.1109/ICIT.2003.1290229