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Analysis of Model Predictive Control-Based Energy Management System Performance to Enhance Energy Transmission

Author

Listed:
  • Israth Jahan Chowdhury

    (Department of Electrical and Computer Engineering, Kulliyyah of Engineering, International Islamic University Malaysia, Kuala Lumpur 53100, Malaysia)

  • Siti Hajar Yusoff

    (Department of Electrical and Computer Engineering, Kulliyyah of Engineering, International Islamic University Malaysia, Kuala Lumpur 53100, Malaysia)

  • Teddy Surya Gunawan

    (Department of Electrical and Computer Engineering, Kulliyyah of Engineering, International Islamic University Malaysia, Kuala Lumpur 53100, Malaysia)

  • Suriza Ahmad Zabidi

    (Department of Electrical and Computer Engineering, Kulliyyah of Engineering, International Islamic University Malaysia, Kuala Lumpur 53100, Malaysia)

  • Mohd Shahrin Bin Abu Hanifah

    (Department of Electrical and Computer Engineering, Kulliyyah of Engineering, International Islamic University Malaysia, Kuala Lumpur 53100, Malaysia)

  • Siti Nadiah Mohd Sapihie

    (Petronas Sdn Bhd, Bandar Baru Bangi, Kajang 43000, Malaysia)

  • Bernardi Pranggono

    (School of Computing and Information Science, Anglia Ruskin University, Cambridge CB1 1PT, UK)

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.

Suggested Citation

  • Israth Jahan Chowdhury & Siti Hajar Yusoff & Teddy Surya Gunawan & Suriza Ahmad Zabidi & Mohd Shahrin Bin Abu Hanifah & Siti Nadiah Mohd Sapihie & Bernardi Pranggono, 2024. "Analysis of Model Predictive Control-Based Energy Management System Performance to Enhance Energy Transmission," Energies, MDPI, vol. 17(11), pages 1-19, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:11:p:2595-:d:1403448
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    References listed on IDEAS

    as
    1. He, Kaijian & Yu, Lean & Lai, Kin Keung, 2012. "Crude oil price analysis and forecasting using wavelet decomposed ensemble model," Energy, Elsevier, vol. 46(1), pages 564-574.
    2. 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 & Asm, 2023. "Model Predictive Control Based Energy Management System Literature Assessment for RES Integration," Energies, MDPI, vol. 16(8), pages 1-27, April.
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