| Subject Area | Energy |
|---|---|
| Semester | Semester 7 – Fall |
| Type | Elective |
| Teaching Hours | 4 |
| ECTS | 6 |
| Prerequisites |
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| Course Director |
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Intelligent methods are introduced with emphasis on neural networks, fuzzy systems and expert systems, support vector machines, Bayesian and Gaussian processes, with applications to power and energy transmission and distribution networks.
Emphasis is given on the intelligent control and operation of complex energy production and distribution systems, intelligent diagnostics and accident prevention and smart load forecasting.
The course presents the fundamentals of power generation, energy demand, advantages and disadvantages of various energy systems, including costs of production and transmission of energy, energy forecasts, regulatory and legal frameworks, environmental, economic and political dimensions of energy systems and energy markets.
This course is a basic introductory course on the concepts and structure of smart grids and distribution networks. The material of the course aims to introduce students to the basic concepts of smart grids and distribution networks, the structure of intelligent systems, the operating characteristics of smart grids and distribution networks and analysis and models of basic components of smart grids and distribution networks.
It also refers to introductory concepts of interconnected power systems, so that the student will acquire an overall understanding of the procedures and methodologies for analyzing and resolving an intelligent system. In this sense, the course is the basis on which specific methodologies and techniques of smart grids and distribution networks are developed in individual special courses.
Finally, the aim of the course is to promote understanding of the importance of smart grids and distribution networks in the modern economy.
Upon successful completion of this course the student will be able to:
- understand the basic and critical characteristics of smart grids and distribution networks, their connection with the overall production, transmission and distribution of electrical energy.
- apply tools and techniques to analyze and solve load flow problems and intelligent systems
- Analyze and calculate the basic elements of an smart grid and distribution network.
- Work with the fellow students to create and present a team project in a smart grid and distribution network study including system analysis, distribution load flow, stability, and basic mathematical models