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Decentralized Model-Predictive Control of a Coupled Wind Turbine and Diesel Engine Generator System

Author

Listed:
  • Milad Shojaee

    (Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA)

  • Fatemeh Mohammadi Shakiba

    (Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA)

  • S. Mohsen Azizi

    (Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA
    School of Applied Engineering and Technology, New Jersey Institute of Technology, Newark, NJ 07102, USA)

Abstract

It is highly critical that renewable energy-based power generation units provide continuous and high-quality electricity. This requirement is even more pronounced in standalone wind–diesel systems where the wind power is not always constant or available. Moreover, it is desired that the extracted power be maximized in such a way that less fuel is consumed from the diesel engine. This paper proposes a novel method to design decentralized model-predictive controllers to control the frequency and power of a single standalone generation system, which consists of a wind turbine subsystem mechanically coupled with a diesel engine generator subsystem. Two decentralized model-predictive controllers are designed to regulate the frequency and active power, while the mechanical coupling between the two subsystems is considered, and no communication links exist between the two controllers. Simulation results show that the proposed decentralized controllers outperform the benchmark decentralized linear-quadratic Gaussian (LQG) controllers in terms of eliminating the disturbances from the wind and load power changes. Furthermore, it is demonstrated that the proposed control strategy has an acceptable robust performance against the concurrent variations in all parameters of the system as compared to the LQG controllers.

Suggested Citation

  • Milad Shojaee & Fatemeh Mohammadi Shakiba & S. Mohsen Azizi, 2022. "Decentralized Model-Predictive Control of a Coupled Wind Turbine and Diesel Engine Generator System," Energies, MDPI, vol. 15(9), pages 1-13, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3349-:d:808359
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    References listed on IDEAS

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    1. Mahto, Tarkeshwar & Mukherjee, V., 2017. "A novel scaling factor based fuzzy logic controller for frequency control of an isolated hybrid power system," Energy, Elsevier, vol. 130(C), pages 339-350.
    2. Ali Nandar, Cuk Supriyadi, 2013. "Robust PI control of smart controllable load for frequency stabilization of microgrid power system," Renewable Energy, Elsevier, vol. 56(C), pages 16-23.
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    1. Ashkan Safari & Hamed Kheirandish Gharehbagh & Morteza Nazari Heris, 2023. "DeepVELOX: INVELOX Wind Turbine Intelligent Power Forecasting Using Hybrid GWO–GBR Algorithm," Energies, MDPI, vol. 16(19), pages 1-22, September.

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