Model Predictive Control Based Energy Management System Literature Assessment for RES Integration

Nor Liza Tumeran, Siti Hajar Yusoff (), Teddy Surya Gunawan (), Mohd Shahrin Abu Hanifah, Suriza Ahmad Zabidi, Bernardi Pranggono (), Muhammad Sharir Fathullah Mohd Yunus, Siti Nadiah Mohd Sapihie and Asmaa Hani Halbouni
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Nor Liza Tumeran: Electrical and Computer Engineering Department, International Islamic University Malaysia, Kuala Lumpur 53100, Malaysia
Siti Hajar Yusoff: Electrical and Computer Engineering Department, International Islamic University Malaysia, Kuala Lumpur 53100, Malaysia
Teddy Surya Gunawan: Electrical and Computer Engineering Department, International Islamic University Malaysia, Kuala Lumpur 53100, Malaysia
Mohd Shahrin Abu Hanifah: Electrical and Computer Engineering Department, International Islamic University Malaysia, Kuala Lumpur 53100, Malaysia
Suriza Ahmad Zabidi: Electrical and Computer Engineering Department, International Islamic University Malaysia, Kuala Lumpur 53100, Malaysia
Bernardi Pranggono: School of Computing and Information Science, Anglia Ruskin University, Cambridge CB1 1PT, UK
Muhammad Sharir Fathullah Mohd Yunus: Electrical and Computer Engineering Department, International Islamic University Malaysia, Kuala Lumpur 53100, Malaysia
Siti Nadiah Mohd Sapihie: Petronas Research Sdn Bhd, Bandar Baru Bangi 43000, Malaysia
Asmaa Hani Halbouni: Electrical and Computer Engineering Department, International Islamic University Malaysia, Kuala Lumpur 53100, Malaysia

Energies, 2023, vol. 16, issue 8, 1-27

Abstract: 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.

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) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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