Using model predictive control in renewable energy sources

Rosli, Anis Najwa and Yusoff, Siti Hajar and Mansor, Hasmah and Mohd Sapihie, Siti Nadiah and Muhamad Fahmi, Muhammad Aqil Muqri (2024) Using model predictive control in renewable energy sources. In: 9th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2023, 17-18 October 2023, Kuala Lumpur, Malaysia.

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Abstract

The integration of renewable energy sources (RES) poses challenges due to their intermittent nature and the requirement for grid stability and reliability. This study explores the application of Model Predictive Control (MPC) as an advanced control strategy for effective RES integration. MPC utilizes mathematical models and prediction algorithms to optimize power flow, manage system dynamics, and mitigate the intermittent nature of RES. Simulations conducted using Simulink and MATLAB platforms demonstrate the effectiveness of the MPC controller in improving grid stability, optimizing power generation, and accommodating fluctuating RES output. The results highlight the potential of MPC to enhance the integration of RES into the power grid, paving the way for a sustainable and resilient energy infrastructure. Additionally, a comparison between the MPC controller and the Proportional Integral (PI) controller was performed, indicating that MPC outperforms the PI controller.

Item Type:	Proceeding Paper (Other)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy. Powerplants
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:	17 Jan 2024 09:15
Last Modified:	09 Feb 2024 16:00
URI:	http://irep.iium.edu.my/id/eprint/110193

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