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

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

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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.

Item Type: Article (Journal)
Uncontrolled Keywords: model predictive control (MPC); energy management system (EMS); renewable energy (RE); renewable energy sources (RES); energy storage system (ESS); solar photovoltaic (PV); microgrid (MG); distributed energy resources (DERs)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy. Powerplants
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK4001 Applications of electric power
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Kulliyyah of Engineering
Depositing User: dr siti hajar yusoff
Date Deposited: 22 May 2023 09:26
Last Modified: 06 Jun 2023 11:06
URI: http://irep.iium.edu.my/id/eprint/104730

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