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A SURVEY ON THE APPLICATION OF ROUGH SET THEORY IN POWER SYSTEMS

Shu Hongchun , Sun Xiangfei , Yu Jilai ( Kunming University of Science and Technology, Kunming 650051, China) ( Harbin Institute of Technology, Harbin 150001, China)  
Rough set (RS) theory is a newly developed soft-computing tool to deal with information with vagueness and uncertainty. It has been received much attention of researchers around the world and applied to many domains successfully such as pattern recognition, predictive modeling and medical diagnosis and decision analysis, et al. But little headway has been made in power systems. In order to propel the further study on the aspect of RS in power systems, the main fruits of RS are surveyed in equipment fault diagnosis, electric distribution network fault diagnosis, transient stability classification, data mining and voltage and reactive power control respectively. Furthermore, the paper discusses the application potentials of RS in data mining in power market, and the combination of RS with other artificial intelligence technologies, such as expert system, ANN, fuzzy theory and multi-agent system. Meanwhile, several open problems are proposed.
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