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Investigators from IIT Report New Data on Modern Power Systems and Clean Energy (Discovering communities for microgrids with spatial-temporal net energy)

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Energy Daily News

2020 JAN 16 (NewsRx) -- By a News Reporter-Staff News Editor at Energy Daily News -- New research on Energy - Modern Power Systems and Clean Energy is the subject of a report. According to news reporting from Chicago, Illinois, by NewsRx journalists, research stated, “Smart grid has integrated an increasing number of distributed energy resources to improve the efficiency and flexibility of power generation and consumption as well as the resilience of the power grid. The energy consumers on the power grid, e.g., households, equipped with distributed energy resources can be considered as ‘microgrids’ that both generate and consume electricity.”

Funders for this research include Division of Computer and Network Systems, Air Force Office of Scientific Research, WISER, Maryland Procurement Office.

The news correspondents obtained a quote from the research from IIT, “In this paper, we study the energy community discovery problems which identify energy communities for the microgrids to facilitate energy management, e.g., load balancing, energy sharing and trading on the grid. Specifically, we present efficient algorithms to discover such communities of microgrids considering both their geo-locations and net energy (NE) over any period.”

According to the news reporters, the research concluded: “Finally, we experimentally validate the performance of the algorithms using both synthetic and real datasets.”

For more information on this research see: Discovering communities for microgrids with spatial-temporal net energy. Journal of Modern Power Systems and Clean Energy, 2019;7(6):1536-1546. Journal of Modern Power Systems and Clean Energy can be contacted at: Springeropen, Campus, 4 Crinan St, London, N1 9XW, England.

Our news journalists report that additional information may be obtained by contacting Y. Hong, IIT, Dept. of Computer Sciences, 10 W 31ST St, Chicago, IL 60616, United States. Additional authors for this research include S.Y. Xie, H. Wang, D. Jin, S.B. Wang, H.B. Lu and Q. Liu.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1007/s40565-019-0543-4. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

 

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