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Microgrid Energy Management System Based on Fuzzy Logic and Monitoring Platform for Data Analysis
Content Provider | MDPI |
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Author | Sumarmad, Khaizaran Abdulhussein Al Sulaiman, Nasri Wahab, Noor Izzri Abdul Hizam, Hashim |
Copyright Year | 2022 |
Description | Energy management and monitoring systems are significant difficulties in applying microgrids to smart homes. Thus, further research is required to address the modeling and operational parts of the system’s future results for various applications. This paper proposes a new technique for energy management in a microgrid using a robust control approach and the development of a platform for real-time monitoring. The developed controller is based on a fuzzy logic method used in the energy Internet paradigm with connected distributed generators (DGs) in the microgrid. The developed method regulates the power flow of the microgrid, and frequency/voltage regulation improved the load-management performance and monitoring system using the ThingSpeak platform for real-time data analysis. The MATLAB. simulation results show the feasibility and effectiveness of the proposed strategy and the introduced approach in microgrid control under various operating conditions. Additionally, the results show that the proposed monitoring platform facilitates real-time data analysis. |
Starting Page | 4125 |
e-ISSN | 19961073 |
DOI | 10.3390/en15114125 |
Journal | Energies |
Issue Number | 11 |
Volume Number | 15 |
Language | English |
Publisher | MDPI |
Publisher Date | 2022-06-03 |
Access Restriction | Open |
Subject Keyword | Energies Industrial Engineering Information and Library Science Internet of Things (iot) Microgrid Renewable Energy Fuzzy Logic Energy Management System Thingspeak |
Content Type | Text |
Resource Type | Article |