Systems of Artificial Inteligence in Power System

Course title: Systems of Artificial Inteligence in Power System

Code: 3ФЕИТ04З026

Number of credits (ECTS): 6

Weekly number of classes: 3+1+1+0

Prerequisite for enrollment of the subject: None

Course Goals (acquired competencies): Acquisition of expert knowledge about the engineering aspects of expert systems, fuzzy-logic systems, neural networks and genetic algorithms, and the possibilities for their application in power engineering and engineering management.

Total available number of classes: 180

Course Syllabus: Historical development and ongoing challenges to artificial intelligence systems. Characteristics of expert systems. Presenting expert knowledge with rules. Boolean and multi-valued logic. Engineering aspects of fuzzy-logical systems. The theory of the fuzzy set. Fuzzy numbers and operations with them. Fuzzy logic controllers and their application in the electric power system. Neural networks. Types of activation function and Learning methods. Application of neural networks for the load forecast, inflow in HPP, wind speed, solar radiation. Fuzzy neural network. ANFIS models Introduction to genetic algorithms - selection, recombination of mutations, population algorithms. Application of the genetic algorithms in the power engineering. evolutionary computation Evolutionary algorithms and computation.

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