Microgrid Energy Management System

Albert Kowalczyk; Adrian Włodarczyk; Jarosław Tarnawski

doi:10.1109/mmar.2016.7575125

Microgrid Energy Management System

Abstract

In the era of rapid development of "green energy” and storage devices, microgrids implemented in line with the concept of distributed generation can be an effective form of power management. There is a need for an efficient, optimal and reliable control of the combined infrastructure. The article presents a flexible, configurable microgrid's resources control system, which executes the task of meeting the electricity demand of local households with regard to economic issues. The system developed by the authors varies from the typical solutions available on the market - each user integrates its resources with the microgrid for personal gain. A decentralized control structure using controllers located in each household, built on open code optimizers and low-cost hardware was developed. In order to minimize the chances of a failure, a solution redundant in the aspects of communication and hot standby control devices was developed. A configurable optimization task, which takes into account settlement system between participants, as well as the possible need for withdrawal of the device, e.g. due to damage was defined. A comprehensive verification was done, using simulations for the sample microgrid with different ways of generating and storing.

Citations

8

CrossRef
0

Web of Science
1 3

Scopus

Authors (3)

Cite as

Full text

full text is not available in portal

full content of the article see on external site open in new tab

Keywords

Details

Category:: Conference activity
Type:: materiały konferencyjne indeksowane w Web of Science
Title of issue:: 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR) strony 157 - 162
Language:: English
Publication year:: 2016
Bibliographic description:: Kowalczyk A., Włodarczyk A., Tarnawski J..: Microgrid Energy Management System, W: 2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR), 2016, IEEE,.
DOI:: Digital Object Identifier (open in new tab) 10.1109/mmar.2016.7575125
Verified by:: Gdańsk University of Technology