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Implementation Process Simulation and Performance Analysis for the Multi-Timescale Lookup-Table-Based Maximum Power Point Tracking under Variable Irregular Waves

Author

Listed:
  • Xuhui Yue

    (PowerChina HuaDong Engineering Corporation Limited, Hangzhou 311122, China
    Hangzhou Huachen Electric Power Control Corporation Limited, Hangzhou 311122, China)

  • Feifeng Meng

    (PowerChina HuaDong Engineering Corporation Limited, Hangzhou 311122, China
    Hangzhou Huachen Electric Power Control Corporation Limited, Hangzhou 311122, China)

  • Zhoubo Tong

    (PowerChina HuaDong Engineering Corporation Limited, Hangzhou 311122, China
    Hangzhou Huachen Electric Power Control Corporation Limited, Hangzhou 311122, China)

  • Qijuan Chen

    (Key Laboratory of Transients in Hydraulic Machinery, Ministry of Education, Wuhan University, Wuhan 430072, China)

  • Dazhou Geng

    (China Renewable Energy Engineering Institute, Beijing 100120, China)

  • Jiaying Liu

    (PowerChina HuaDong Engineering Corporation Limited, Hangzhou 311122, China
    Hangzhou Huachen Electric Power Control Corporation Limited, Hangzhou 311122, China)

Abstract

The efficacy of the multi-timescale lookup-table-based maximum power point tracking (MLTB MPPT) in capturing energy at various fixed sea states has already been demonstrated. However, it remains imperative to conduct a more comprehensive evaluation of the MPPT tracking performance under varying sea states in practical scenarios. Additionally, it is crucial to engage in an in-depth analysis of the dynamic process and energy loss/consumption associated with MLTB MPPT implementations. This paper focuses on the implementation process simulation and performance analysis for the MLTB MPPT under variable irregular waves. Firstly, the structure of the wave power controller based on a MLTB MPPT algorithm is described in detail, as well as that of a controlled plant, known as a novel inverse-pendulum wave energy converter (NIPWEC). Secondly, mathematical models for the MLTB MPPT are developed, taking into account the efficiency of each link. In this paper, we present simplified modelling methods for both permanent magnet synchronous generator (PMSG) vector control and permanent magnet synchronous motor (PMSM) servo control. Finally, the tracking performance of the MLTB MPPT in the presence of variable irregular waves is comprehensively analyzed by simulating the implementation process and comparing it with two other MPPT algorithms, i.e., the frequency- and amplitude-control-based MPPT and the lookup-table-based internal mass position adjustment combined with the optimal fixed damping search. Results show that the MLTB MPPT (Method 2) is a competitive algorithm. Besides, a significant portion (>12%) of the time-averaged absorbed power is actually lost during the power generation process. On the other hand, the power required for a mass-position-adjusting mechanism is relatively small (approximately 0.2 kW, <1.5%). The research findings can offer theoretical guidance for optimizing the operation of NIPWEC engineering prototypes under actual sea conditions.

Suggested Citation

  • Xuhui Yue & Feifeng Meng & Zhoubo Tong & Qijuan Chen & Dazhou Geng & Jiaying Liu, 2023. "Implementation Process Simulation and Performance Analysis for the Multi-Timescale Lookup-Table-Based Maximum Power Point Tracking under Variable Irregular Waves," Energies, MDPI, vol. 16(22), pages 1-26, November.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:22:p:7501-:d:1276833
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    References listed on IDEAS

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    1. Aqiang Zhao & Weimin Wu & Zuoyao Sun & Lixun Zhu & Kaiyuan Lu & Henry Chung & Frede Blaabjerg, 2019. "A Flower Pollination Method Based Global Maximum Power Point Tracking Strategy for Point-Absorbing Type Wave Energy Converters," Energies, MDPI, vol. 12(7), pages 1-19, April.
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    3. Dong, Feng & Pan, Shangzhi & Gong, Jinwu & Cai, Yuanqi, 2023. "Maximum power point tracking control strategy based on frequency and amplitude control for the wave energy conversion system," Renewable Energy, Elsevier, vol. 215(C).
    4. Wu, Shuping & Liu, Chuanyu & Chen, Xinping, 2015. "Offshore wave energy resource assessment in the East China Sea," Renewable Energy, Elsevier, vol. 76(C), pages 628-636.
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