Smart Grids Integration and Modeling
Offered By: Delft University of Technology via edX
Course Description
Overview
Electrical power grids of the future will differ significantly from the power systems of the twentieth century. Current applications of smart grids around the world already solve some issues related to energy transmission. These include the small capacity and intermittent nature of renewable resources; the constraints of existing lines operated close to their thermal and stability limits; and uni-directional transmission from production to user. In addition, new ‘intelligent’ demand of products and devices such as electric vehicles and heat pumps demand changes in the way electricity is transmitted.
Why are smart grids the answer? Being robust and flexible, intelligent electrical power grids effectively coordinate energy supply and demand in a dynamic way. This enables the electricity from solar cells or wind farms, for example, to be incorporated within the distribution network. Biogas could be introduced locally within the gas network. Last but not least, smart grids also provide the flexibility needed to stimulate change in the energy market such as product innovation, privatization and internationalization.
Understanding smart grids is a must for advancing your career in the energy sector, particularly in the fields of renewable energies, governmental policy, or consultancy.
In the first course, you will be introduced to the layout of a smart grid, its components, its dynamics and the challenges in modeling and studying it. In the second course, you will put this knowledge into practice and develop your own models and scenarios to study and analyze the outcomes of some common smart grid disturbances.
Syllabus
Course 1: Smart Grids: The Basics
Understand the basics of smart grids. Learn about their heterogeneity, dynamics, control, and about security and assessment strategies.
Course 2: Smart Grids: Modeling
Learn to build a model of a smart power grid, and to diagnose the effects of disturbances from variable renewable energy resources and intelligent demand on the grid.
Courses
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The smart grid of the future is a complex electrical power system. Its study, design, and management requires the integration of knowledge from various disciplines including sustainability, technology and mathematics.
In this first course, you will be introduced to the definition of a smart grid, its heterogeneity, dynamics, control, security and assessment strategies. The challenge of modeling such a system is also discussed. A group of researchers will offer their expertise on these topics and will introduce the modeling method which will be used in the second course of this program.
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The smart grid of the future is a complex electrical power system. Its study, design, and management requires the integration of knowledge from various disciplines including sustainability, technology and mathematics.
Smart grids show a level of complexity and heterogeneity that often cannot be covered by analytical methods. Therefore, modeling and simulation are of great importance.
This course follows on from the first course where the key definitions, concepts and challenges in a smart grid are introduced. In this second course, you will apply modeling tools to study and analyze the performance of your self-designed intelligent electrical power grid. By modeling smart grids, you will explore the integration of renewable energy sources into a grid, its dynamics, control and cyber security.
Taught by
Kaikai Pan, Peter Palensky, Jose Rueda Torres, Digvijay Gusain and Ibrahim Diab
Tags
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