A DDS-Based Energy Management Framework for Small Microgrid Operation and Control

Youssef, Tarek A.; El Hariri, Mohamad; Elsayed, Ahmed T.; Mohammed, Osama A.

doi:10.1109/TII.2017.2756619

Title: A DDS-Based Energy Management Framework for Small Microgrid Operation and Control

Abstract

The smart grid is seen as a power system with realtime communication and control capabilities between the consumer and the utility. This modern platform facilitates the optimization in energy usage based on several factors including environmental, price preferences, and system technical issues. In this paper a real-time energy management system (EMS) for microgrids or nanogrids was developed. The developed system involves an online optimization scheme to adapt its parameters based on previous, current, and forecasted future system states. The communication requirements for all EMS modules were analyzed and are all integrated over a data distribution service (DDS) Ethernet network with appropriate quality of service (QoS) profiles. In conclusion, the developed EMS was emulated with actual residential energy consumption and irradiance data from Miami, Florida and proved its effectiveness in reducing consumers’ bills and achieving flat peak load profiles.

Authors:

Youssef, Tarek A. ^[1]; El Hariri, Mohamad ^[1]; Elsayed, Ahmed T. ^[1]; Mohammed, Osama A. ^[1]

Florida International Univ., Miami, FL (United States)

Publication Date:: Tue Sep 26 00:00:00 EDT 2017

Research Org.:: Florida International Univ. (FIU), Miami, FL (United States)

Sponsoring Org.:: USDOE Office of Electricity (OE)

OSTI Identifier:: 1406112

Grant/Contract Number:: OE0000779

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Transactions on Industrial Informatics

Additional Journal Information:: Journal Volume: 14; Journal Issue: 3; Journal ID: ISSN 1551-3203

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; Cyber-physical systems; data distribution service; energy management; online optimization; quality of service

Citation Formats


                    Youssef, Tarek A., El Hariri, Mohamad, Elsayed, Ahmed T., and Mohammed, Osama A. A DDS-Based Energy Management Framework for Small Microgrid Operation and Control.  United States: N. p., 2017. 
Web.  doi:10.1109/TII.2017.2756619.

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                    Youssef, Tarek A., El Hariri, Mohamad, Elsayed, Ahmed T., & Mohammed, Osama A. A DDS-Based Energy Management Framework for Small Microgrid Operation and Control.  United States.  https://doi.org/10.1109/TII.2017.2756619

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                    Youssef, Tarek A., El Hariri, Mohamad, Elsayed, Ahmed T., and Mohammed, Osama A. Tue .  
"A DDS-Based Energy Management Framework for Small Microgrid Operation and Control".  United States.  https://doi.org/10.1109/TII.2017.2756619.  https://www.osti.gov/servlets/purl/1406112.

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@article{osti_1406112,

  title        = {A DDS-Based Energy Management Framework for Small Microgrid Operation and Control},

  author       = {Youssef, Tarek A. and El Hariri, Mohamad and Elsayed, Ahmed T. and Mohammed, Osama A.},

  abstractNote = {The smart grid is seen as a power system with realtime communication and control capabilities between the consumer and the utility. This modern platform facilitates the optimization in energy usage based on several factors including environmental, price preferences, and system technical issues. In this paper a real-time energy management system (EMS) for microgrids or nanogrids was developed. The developed system involves an online optimization scheme to adapt its parameters based on previous, current, and forecasted future system states. The communication requirements for all EMS modules were analyzed and are all integrated over a data distribution service (DDS) Ethernet network with appropriate quality of service (QoS) profiles. In conclusion, the developed EMS was emulated with actual residential energy consumption and irradiance data from Miami, Florida and proved its effectiveness in reducing consumers’ bills and achieving flat peak load profiles.},

  doi          = {10.1109/TII.2017.2756619},

  journal      = {IEEE Transactions on Industrial Informatics},

  number       = 3,

  volume       = 14,

  place        = {United States},

  year         = {Tue Sep 26 00:00:00 EDT 2017},

  month        = {Tue Sep 26 00:00:00 EDT 2017}

}

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https://doi.org/10.1109/TII.2017.2756619

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Works referencing / citing this record:

Hardware-in-the-Loop Validation of Energy Management Systems for Microgrids: A Short Overview and a Case Study
journal, November 2018

Casolino, Giovanni; Russo, Mario; Varilone, Pietro
Energies, Vol. 11, Issue 11
DOI: 10.3390/en11112978

Energy Management Systems for Microgrids: Main Existing Trends in Centralized Control Architectures
journal, January 2020

Espín-Sarzosa, Danny; Palma-Behnke, Rodrigo; Núñez-Mata, Oscar
Energies, Vol. 13, Issue 3
DOI: 10.3390/en13030547

Pre-Processing of Energy Demand Disaggregation Based Data Mining Techniques for Household Load Demand Forecasting
journal, July 2018

Ebrahim, Ahmed F.; Mohammed, Osama A.
Inventions, Vol. 3, Issue 3
DOI: 10.3390/inventions3030045

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Title: A DDS-Based Energy Management Framework for Small Microgrid Operation and Control

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