Publication detail

A Real Model of a Micro-Grid to Improve Network Stability

MARCOŇ, P. SZABÓ, Z. VESELÝ, I. ZEZULKA, F. SAJDL, O. ROUBAL, Z. DOHNAL, P.

Original Title

A Real Model of a Micro-Grid to Improve Network Stability

Type

journal article in Web of Science

Language

English

Original Abstract

This paper discusses the smart energy model of a smart grid using a significant share of renewable energy sources combined with intelligent control that processes information from a smart metering subsystem. An algorithm to manage the microgrid via the demand-response strategy is proposed, accentuating the requirement that the total volume of energy produced from renewable sources is consumed. Thus, the system utilizes the maximum of renewable sources to reduce CO2 emissions. Another major benefit provided by the algorithm lies in applying the current weather forecast to predict the amount of energy in the grid; electricity can then be transferred between the local and the main backup batteries within the grid, and this option enables the control elements to prepare for a condition yet to occur. Individual parts of the grid are described in this research report together with the results provided by the relevant algorithm.

Keywords

demand-response strategy; micro-grid; renewable sources; simulation; smart metering; stability; weather forecast

Authors

MARCOŇ, P.; SZABÓ, Z.; VESELÝ, I.; ZEZULKA, F.; SAJDL, O.; ROUBAL, Z.; DOHNAL, P.

Released

30. 7. 2017

Publisher

MDPI

Location

Basel, Switzerland

ISBN

2076-3417

Periodical

Applied Sciences - Basel

Number

8

State

Swiss Confederation

Pages from

1

Pages to

16

Pages count

16

URL

https://www.mdpi.com/2076-3417/7/8/757

Full text in the Digital Library

http://hdl.handle.net/11012/69306

BibTex

@article{BUT138071,
  author="Petr {Marcoň} and Zoltán {Szabó} and Ivo {Veselý} and František {Zezulka} and Ondřej {Sajdl} and Zdeněk {Roubal} and Přemysl {Dohnal}",
  title="A Real Model of a Micro-Grid to Improve Network Stability",
  journal="Applied Sciences - Basel",
  year="2017",
  number="8",
  pages="1--16",
  doi="10.3390/app7080757",
  issn="2076-3417",
  url="https://www.mdpi.com/2076-3417/7/8/757"
}