Mitigation of negative impacts of distributed generation on LV distribution networks through microgrid management systems

M. A. Zehir*, A. Batman, M. A. Sonmez, A. Font, D. Tsiamitros, D. Stimoniaris, V. Zacharaki, C. Orth, M. Bagriyanik, A. Ozdemir, E. Dialynas

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

Renewable based distributed generation (DG) particularly in low voltage (LV) distribution networks may cause voltage limit violations, line overloads and increase in network losses. Siting and sizing of DG penetrations are generally done according to the worst case scenarios. However, since these cases occur rarely in long term operation, a realistic design enables more DG penetration. There are numerous conventional methods, each having several benefits and drawbacks. Local energy management systems can also be part of the solution. This study investigates the negative steady state operational impacts of DG on LV distribution networks and proposes a microgrid management approach to mitigate those impacts. A field data-based virtual test bed is used to simulate undervoltage and overvoltage issues and a microgrid energy management approach is developed and tested to minimize the negative impacts on the network. Moreover, Digital Audio Broadcasting (DAB) as data transmission means in microgrids, is discussed as an adaptable communication solution for its real-world implementation.

Original languageEnglish
Title of host publication2017 IEEE Manchester PowerTech, Powertech 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509042371
DOIs
Publication statusPublished - 13 Jul 2017
Event2017 IEEE Manchester PowerTech, Powertech 2017 - Manchester, United Kingdom
Duration: 18 Jun 201722 Jun 2017

Publication series

Name2017 IEEE Manchester PowerTech, Powertech 2017

Conference

Conference2017 IEEE Manchester PowerTech, Powertech 2017
Country/TerritoryUnited Kingdom
CityManchester
Period18/06/1722/06/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Funding

This research is funded as a part of “Smart Electric Energy Management and Buildings Energy Efficiency Technologies-SEEMBEET” by “The Scientific and Technological Research Council of Turkey (TUBITAK)” and “General Secretariat for Research and Technology (GSRT)”. VII. ACKNOWLEDGEMENT This research is funded by TUBITAK as a part of “113E286 Smart Electric Energy Management and Buildings Energy Efficiency Technologies-SEEMBEET” project. The authors wish to acknowledge financial support provided by the Committee of Special Accounts for Research Funds of Western Macedonia University of Applied Sciences (ELKE TEIWM, Grant number: 80160)"

FundersFunder number
Buildings Energy Efficiency Technologies-SEEMBEET
Committee of Special Accounts for Research Funds of Western Macedonia University of Applied Sciences
ELKE TEIWM80160
TUBITAK113E286
General Secretariat for Research and Technology
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

    Keywords

    • Energy management
    • Microgrids
    • Power system simulation
    • Smart grids

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