Chowdhury, Israth Jahan and Yusoff, Siti Hajar and Gunawan, Teddy Surya and Ahmad Zabidi, Suriza and Abu Hanifah, Mohd Shahrin and Mohd Sapihie, Siti Nadiah and Pranggono, Bernardi (2024) Analysis of model predictive control-based energy management system performance to enhance energy transmission. Energies, 17 (11). pp. 1-19. E-ISSN 1996-1073
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Abstract
A supervisory control system using Model Predictive Control (MPC) has been designed to evaluate the efficiency of wind and solar power and is consistent with the cost function in the supervisory MPC optimization problem. A two-layer Economic Model Predictive Control (EMPC) framework has been developed and has improved results such as cost reductions compared to recent advanced methods. A speed Generalized Predictive Control (GPC) scheme intended for wind energy conversion systems was developed last year, with simulation results indicating superior performance over previous models. A Hierarchical Distributed Model Predictive Control (HDMPC) can work under different weather conditions with improved economic performance and keep a good balance between power delivery and load demand. An energy management system (EMS), built on the basis of MPC, can be quite lucrative for the sphere in the present climate scenario, with the selection and testing of suitable algorithms, controlled processes, cost functions, and a set of constraints as well as with proper optimizations carried out. Previous research indicates that an MPC-based EMS has the potential to be a good solution to manage energy well and also introduced it to the world experimentally. The key intention of this research study is to explore the existing advances that have been introduced and to analyze their performance in terms of cost function, different sets of constraints, variant conversion processes, and scalability to achieve more optimized operation of MPC-based EMS.
| Item Type: | Article (Review) |
|---|---|
| Uncontrolled Keywords: | renewable energy sources; energy storage system; energy management system; Model Predictive Control |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3001 Distribution or transmission of electric power. The electric power circuit 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 Kulliyyah of Engineering > Department of Electrical and Computer Engineering |
| Depositing User: | dr siti hajar yusoff |
| Date Deposited: | 13 Jun 2024 09:31 |
| Last Modified: | 21 Jun 2024 15:21 |
| URI: | http://irep.iium.edu.my/id/eprint/112624 |
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