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Course, academic year 2017/2018
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Introduction to Smart Grids - NOPT056
Czech title: Úvod do inteligentních energetických sítí
Guaranteed by: Department of Theoretical Computer Science and Mathematical Logic (32-KTIML)
Faculty: Faculty of Mathematics and Physics
Actual: from 2016 to 2017
Semester: winter
E-Credits: 3
Hours per week, examination: winter s.:1/1 Ex [hours/week]
Capacity: unlimited
Min. number of students: unlimited
State of the course: taught
Language: Czech, English
Teaching methods: full-time
Additional information: https://ktiml.mff.cuni.cz/~fink/teaching/smart_grids/
Guarantor: RNDr. Jiří Fink, Ph.D.
Classification: Informatics > Informatics, Software Applications, Computer Graphics and Geometry, Database Systems, Didactics of Informatics, Discrete Mathematics, External Subjects, General Subjects, Computer and Formal Linguistics, Optimalization, Programming, Software Engineering, Theoretical Computer Science
Annotation -
Last update: T_KTI (16.04.2015)

A smart grid is a modernized electrical grid that uses analog or digital information and communications technology to gather and act on information in an automated fashion to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity. Aim of the course is introducting students to the recent problems in modern energy systems, mathematic modelling and optimization methods used to control electrical devices.
Aim of the course - Czech
Last update: RNDr. Jiří Fink, Ph.D. (01.05.2018)

Cílem předmětu je seznámit studenty se současnými problémy v energetice, s matematickým modelováním jednotlivých problémů a optimalizačními algoritmy používanými k jejich řešení. Dále se studenti naučí napsat program simulující zvolený model na počítači.

Course completion requirements - Czech
Last update: RNDr. Jiří Fink, Ph.D. (01.05.2018)

Zkoušku je možno splnit některými z následujících možností.

vlastní projekt nebo publikace

prezentace demonstračního projektu testujícího technologie Smart Grids v praxi

prezentace článku

klasická zkouška

Podrobnosti musí být předem konzultovány s vyučujícím. Náročnější projekt nebo vědecká publikace může pokračovat k ročníkovému projektu, softwarovému projektu, bakalářské nebo diplomové práci.

Literature -
Last update: RNDr. Jiří Fink, Ph.D. (01.05.2018)

Y. A. Çengel and A. J. Ghajar. Heat and mass transfer: fundamentals and applications. McGraw-Hill, 2011.

J. Fink, J.L. Hurink, and A. Molderink. Mathematical modelling of devices and flows in energy systems. Submitted, 2014.

Çengel, Yunus A., and Michael A. Boles. "6-7." Thermodynamics: An Engineering Approach. 7th ed. New York: McGraw-Hill, 2011. 299. Print.

Beale R. and Jackson T.: Neural Computing: An Introduction, IOP Publishing, Bristol and Philadelphia, 1990

Syllabus -
Last update: RNDr. Jiří Fink, Ph.D. (01.05.2018)

A smart grid is a modernized electrical grid that uses analog or digital information and communications technology to gather and act on information in an automated fashion to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity.

One the main problems in Smart Grids is balancing energy production and consumption. In 20th century, the production of electricity was concentrated in a group of large power stations (mainly coal, nuclear or water) and these sources were designed to be able to control their output according to demands. However in recent years, the production from renewable energy sources (especially solar and wind) have been significantly increasing. These sources cannot be easily controlled and furthermore, their future output is hard to estimate. Therefore, devices and batteries are being developed to be able to plan their consumption according to the availability of the electricity network. Efficient usage of these devices requires advanced algorithms that can estimate production and consumption of energy, schedule each devices according to their possibilities and dynamically react on every event in real time.

Syllabus

Introduction: We will discuss recent problems in the area of Smart Grids which we will study during the semestr

Mathematical modelling: We will describe studied problems using mathematical tools

Algorithms: We will present some methods and algorithms used in Smart Grids

Simulation: We will discuss how to write a program that simulates some approaches used in Smart Grids

Entry requirements:

Basic knowledge of mathematical modelling and optimization, e.g. Optimization metods

Course Page:

https://ktiml.mff.cuni.cz/~fink/teaching/smart_grids/

 
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