D 2018

Towards Discovering the Limits of Smart Grid Communication Infrastructure

KADLEC, Miroslav, Jan ROSECKÝ, Filip PROCHÁZKA, Barbora BÜHNOVÁ, Tomáš PITNER et. al.

Basic information

Original name

Towards Discovering the Limits of Smart Grid Communication Infrastructure

Authors

KADLEC, Miroslav (203 Czech Republic, belonging to the institution), Jan ROSECKÝ (203 Czech Republic), Filip PROCHÁZKA (203 Czech Republic), Barbora BÜHNOVÁ (203 Czech Republic, belonging to the institution) and Tomáš PITNER (203 Czech Republic, belonging to the institution)

Edition

Cham, Switzerland, Governing Business Systems, p. 87-99, 13 pp. 2018

Publisher

Springer

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

RIV identification code

RIV/00216224:14330/18:00102096

Organization unit

Faculty of Informatics

ISBN

978-3-319-66034-9

ISSN

UT WoS

000448236300005

Keywords in English

Smart grid Communication; Modeling; Simulation

Tags

Reviewed
Změněno: 31/5/2022 14:19, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

The concept of Smart Grid enforces standard power grid with intelligent devices and communication network to add new functionality to the power distribution system. The concept builds upon enormous volumes of metering and monitoring data, and thus also a robust communication infrastructure. Apart from pilot projects, modeling and simulation plays an important role in smart grids design, since it provides an opportunity to effectively benchmark and compare particular technologies, especially for its communication infrastructure. In this paper, we summarize the specifics of communication in smart grids. Then, we provide an extensive review on particular approaches to smart grids simulation, which are analyzed and compared. Finally, we present GridMind, a new Smart grid simulation software that enhances the quality and usability of executed simulations, describe its features and the simulation process, and discuss its application in real projects.

Links

MUNI/A/0997/2016, interní kód MU
Name: Aplikovaný výzkum na FI: vyhledávacích systémy, bezpečnost, vizualizace dat a virtuální realita.
Investor: Masaryk University, Applied research at FI: search systems, security, data visualization and virtual reality, Category A