Reports from Jamia Millia Islamia Describe Recent Advances in Electrical Engineering (Rule-based Inferential System for Microgrid Energy Management System)

2022 JAN 21 (NewsRx) -- By a News Reporter-Staff News Editor at Electronics Daily -- A new study on Engineering - Electrical Engineering is now available. According to news reporting originating from New Delhi, India, by NewsRx correspondents, research stated, “The installation of grid-connected microgrids ($\mu {\rm{Gs}}$) is considered a suitable solution to enhance the modernization of distributed generation systems into smart grids. This realization has raised the need for the development of an energy management system $({{\rm{EMS}}})$ for achieving efficient monitoring, control, and management of the energy flows in the system.”

Our news editors obtained a quote from the research from Jamia Millia Islamia, “In this article, the fuzzy inference system (FIS) based EMS synthesis is proposed to efficiently control the distribution of energy flows of $\mu {\rm{G}}$ in real time. The FIS is further optimized using a genetic algorithm approach to achieve faster evaluation and robust EMS development. In the development process of the EMS, the graph theory-based representation of the $\mu {\rm{G}}$s is proposed for efficient representation of the energy demand and energy generation with the energy systems connected in the $\mu {\rm{G}}$. To assess the performance of the proposed EMS, a photovoltaic generation of 19.95 kWp and an aggregated load of 8 kWp are characterized along with a battery energy storage system to form a $\mu {\rm{G}}$.”

According to the news editors, the research concluded: “The results identified the benefits of the proposed approach regarding profit generated and battery usage during the $\mu {\rm{G}}$ operation.”

This research has been peer-reviewed.

For more information on this research see: Rule-based Inferential System for Microgrid Energy Management System. IEEE Systems Journal, 2021:1-10. IEEE Systems Journal can be contacted at: Ieee-inst Electrical Electronics Engineers Inc, 445 Hoes Lane, Piscataway, NJ 08855-4141, USA. (Institute of Electrical and Electronics Engineers - http://www.ieee.org/; IEEE Systems Journal - http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4267003)

The news editors report that additional information may be obtained by contacting Ahteshamul Haque, Jamia Millia Islamia, Dept. of Electrical Engineering, Adv Power Elect Res Lab, New Delhi 110025, India. Additional authors for this research include Varaha Satya Bharath Kurukuru, Mohammed Ali Khan and Sanjeevikumar Padmanaban.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1109/jsyst.2021.3094403. 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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