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Inductor Current-Based Control Strategy for Efficient Power Tracking in Distributed PV Systems

Author

Listed:
  • Wei Wang

    (School of Automation, Central South University, Changsha 210056, China
    National Engineering Research Centre of Advanced Energy Storage Materials, Changsha 410129, China)

  • Yaolin Dong

    (School of Automation, Central South University, Changsha 210056, China
    National Engineering Research Centre of Advanced Energy Storage Materials, Changsha 410129, China)

  • Yue Liu

    (School of Automation, Central South University, Changsha 210056, China
    National Engineering Research Centre of Advanced Energy Storage Materials, Changsha 410129, China)

  • Ripeng Li

    (School of Automation, Central South University, Changsha 210056, China
    National Engineering Research Centre of Advanced Energy Storage Materials, Changsha 410129, China)

  • Chunsheng Wang

    (School of Automation, Central South University, Changsha 210056, China
    National Engineering Research Centre of Advanced Energy Storage Materials, Changsha 410129, China)

Abstract

This paper presents an inductor current-based maximum power point tracking (IC-MPPT) strategy and a single-inductor multi-input single-output (SI-MISO) structure with energy storage battery for distributed photovoltaic (PV) systems. In this study framework, the duty cycle of each PV channel can be controlled independently based on the presented IC-MPPT strategy, and the components/sensors costs are reduced through the presented SI-MISO PV system structure. In addition, a model predictive control (MPC) method is presented to regulate DC bus voltage, by controlling the bidirectional converter in the battery circuit. The presented control strategies have been rigorously derived and experimentally validated, and the experimental results demonstrate that each PV module can rapidly and efficiently track to the maximum power point in less than 0.016 s, while the bus voltage is stabilized near the set value, with an overshoot of less than 2.6%.

Suggested Citation

  • Wei Wang & Yaolin Dong & Yue Liu & Ripeng Li & Chunsheng Wang, 2024. "Inductor Current-Based Control Strategy for Efficient Power Tracking in Distributed PV Systems," Mathematics, MDPI, vol. 12(24), pages 1-17, December.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:24:p:3897-:d:1541030
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    References listed on IDEAS

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    1. Mohapatra, Alivarani & Nayak, Byamakesh & Das, Priti & Mohanty, Kanungo Barada, 2017. "A review on MPPT techniques of PV system under partial shading condition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 854-867.
    2. Fang Liu & Haotian Li & Ling Liu & Runmin Zou & Kangzhi Liu, 2021. "A Control Method for IPMSM Based on Active Disturbance Rejection Control and Model Predictive Control," Mathematics, MDPI, vol. 9(7), pages 1-16, April.
    3. Águila-León, Jesús & Vargas-Salgado, Carlos & Díaz-Bello, Dácil & Montagud-Montalvá, Carla, 2024. "Optimizing photovoltaic systems: A meta-optimization approach with GWO-Enhanced PSO algorithm for improving MPPT controllers," Renewable Energy, Elsevier, vol. 230(C).
    4. Xiangshu Lei, 2024. "A Photovoltaic Prediction Model with Integrated Attention Mechanism," Mathematics, MDPI, vol. 12(13), pages 1-16, July.
    5. Wang, Zhenlong & Wang, Yifan & Zhang, Xinrui & Yang, Dong & Ma, Duanyu & Ramakrishna, Seeram & Yuan, Weizheng & Ye, Tao, 2024. "Flexible photovoltaic micro-power system enabled with a customized MPPT," Applied Energy, Elsevier, vol. 367(C).
    6. Keyong Hu & Chunyuan Lang & Zheyi Fu & Yang Feng & Shuifa Sun & Ben Wang, 2024. "Distributed Regional Photovoltaic Power Prediction Based on Stack Integration Algorithm," Mathematics, MDPI, vol. 12(16), pages 1-25, August.
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