Model predictive control based energy management system literature assessment for RES integration

Over the past few decades, the electric power industry evolved in response to growing concerns about climate change and the rising price of fossil fuels. The usage of renewable energy sources (RES) rose as a remedy for these problems. The increased penetration of RES in the existing generation syste...

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Main Authors: Tumeran, Nor Liza, Yusoff, Siti Hajar, Gunawan, Teddy Surya, Abu Hanifah, Mohd Shahrin, Zabidi, Suriza Ahmad, Pranggono, Bernardi, Mohd Yunus, Muhammad Sharir Fathullah, Mohd Sapihie, Siti Nadiah, Halbouni, Asmaa Hani
Format: Article
Language:English
English
Published: Multidisciplinary Digital Publishing Institute (MDPI) 2023
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Online Access:http://irep.iium.edu.my/104730/2/104730_Model%20predictive%20control%20based%20energy%20management%20system_SCOPUS.pdf
http://irep.iium.edu.my/104730/3/104730_Model%20predictive%20control%20based%20energy%20management%20system.pdf
http://irep.iium.edu.my/104730/
https://www.mdpi.com/1996-1073/16/8/3362/pdf?version=1681202733
https://doi.org/10.3390/en16083362
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spelling my.iium.irep.1047302023-06-06T03:06:30Z http://irep.iium.edu.my/104730/ Model predictive control based energy management system literature assessment for RES integration Tumeran, Nor Liza Yusoff, Siti Hajar Gunawan, Teddy Surya Abu Hanifah, Mohd Shahrin Zabidi, Suriza Ahmad Pranggono, Bernardi Mohd Yunus, Muhammad Sharir Fathullah Mohd Sapihie, Siti Nadiah Halbouni, Asmaa Hani TK1001 Production of electric energy. Powerplants TK4001 Applications of electric power Over the past few decades, the electric power industry evolved in response to growing concerns about climate change and the rising price of fossil fuels. The usage of renewable energy sources (RES) rose as a remedy for these problems. The increased penetration of RES in the existing generation system increased the need for an intelligent energy management system (EMS) so that the system can operate in any possible circumstances. Many sectors of society, including the education sector, are working to realize the importance of this sustainable energy system. This paper reviews the process of selecting an efficient control technique for continuous power flow from different RES to meet the load demand requirement using an enhanced model predictive control (MPC)-based EMS framework. This EMS is a software platform to provide fundamental support services and applications to deliver the functionality needed for the effective operation of electrical generation and transmission facilities to ensure adequate security of energy supply at minimum cost. The centralized EMS with technical objectives focusing on power quality and seamless power flow can be achieved through dynamically enhanced MPC. Multidisciplinary Digital Publishing Institute (MDPI) 2023-04-11 Article PeerReviewed application/pdf en http://irep.iium.edu.my/104730/2/104730_Model%20predictive%20control%20based%20energy%20management%20system_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/104730/3/104730_Model%20predictive%20control%20based%20energy%20management%20system.pdf Tumeran, Nor Liza and Yusoff, Siti Hajar and Gunawan, Teddy Surya and Abu Hanifah, Mohd Shahrin and Zabidi, Suriza Ahmad and Pranggono, Bernardi and Mohd Yunus, Muhammad Sharir Fathullah and Mohd Sapihie, Siti Nadiah and Halbouni, Asmaa Hani (2023) Model predictive control based energy management system literature assessment for RES integration. Energies, 16 (8). pp. 1-27. ISSN 1996-1073 https://www.mdpi.com/1996-1073/16/8/3362/pdf?version=1681202733 https://doi.org/10.3390/en16083362
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic TK1001 Production of electric energy. Powerplants
TK4001 Applications of electric power
spellingShingle TK1001 Production of electric energy. Powerplants
TK4001 Applications of electric power
Tumeran, Nor Liza
Yusoff, Siti Hajar
Gunawan, Teddy Surya
Abu Hanifah, Mohd Shahrin
Zabidi, Suriza Ahmad
Pranggono, Bernardi
Mohd Yunus, Muhammad Sharir Fathullah
Mohd Sapihie, Siti Nadiah
Halbouni, Asmaa Hani
Model predictive control based energy management system literature assessment for RES integration
description Over the past few decades, the electric power industry evolved in response to growing concerns about climate change and the rising price of fossil fuels. The usage of renewable energy sources (RES) rose as a remedy for these problems. The increased penetration of RES in the existing generation system increased the need for an intelligent energy management system (EMS) so that the system can operate in any possible circumstances. Many sectors of society, including the education sector, are working to realize the importance of this sustainable energy system. This paper reviews the process of selecting an efficient control technique for continuous power flow from different RES to meet the load demand requirement using an enhanced model predictive control (MPC)-based EMS framework. This EMS is a software platform to provide fundamental support services and applications to deliver the functionality needed for the effective operation of electrical generation and transmission facilities to ensure adequate security of energy supply at minimum cost. The centralized EMS with technical objectives focusing on power quality and seamless power flow can be achieved through dynamically enhanced MPC.
format Article
author Tumeran, Nor Liza
Yusoff, Siti Hajar
Gunawan, Teddy Surya
Abu Hanifah, Mohd Shahrin
Zabidi, Suriza Ahmad
Pranggono, Bernardi
Mohd Yunus, Muhammad Sharir Fathullah
Mohd Sapihie, Siti Nadiah
Halbouni, Asmaa Hani
author_facet Tumeran, Nor Liza
Yusoff, Siti Hajar
Gunawan, Teddy Surya
Abu Hanifah, Mohd Shahrin
Zabidi, Suriza Ahmad
Pranggono, Bernardi
Mohd Yunus, Muhammad Sharir Fathullah
Mohd Sapihie, Siti Nadiah
Halbouni, Asmaa Hani
author_sort Tumeran, Nor Liza
title Model predictive control based energy management system literature assessment for RES integration
title_short Model predictive control based energy management system literature assessment for RES integration
title_full Model predictive control based energy management system literature assessment for RES integration
title_fullStr Model predictive control based energy management system literature assessment for RES integration
title_full_unstemmed Model predictive control based energy management system literature assessment for RES integration
title_sort model predictive control based energy management system literature assessment for res integration
publisher Multidisciplinary Digital Publishing Institute (MDPI)
publishDate 2023
url http://irep.iium.edu.my/104730/2/104730_Model%20predictive%20control%20based%20energy%20management%20system_SCOPUS.pdf
http://irep.iium.edu.my/104730/3/104730_Model%20predictive%20control%20based%20energy%20management%20system.pdf
http://irep.iium.edu.my/104730/
https://www.mdpi.com/1996-1073/16/8/3362/pdf?version=1681202733
https://doi.org/10.3390/en16083362
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