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A Novel Harris-Hawk-Optimization-Based Maximum-Power-Point-Tracking Control Strategy for a Grid-Connected PV Power-Generation System

Author

Listed:
  • Xiang Tao

    (State Grid Jiangxi Electric Power Research Institute, Nanchang 330096, China)

  • Jianbo Xin

    (State Grid Jiangxi Electric Power Research Institute, Nanchang 330096, China)

  • Shuai Zhang

    (School of Control Science and Engineering, Shangdong University, Jinan 250100, China)

  • Zaide Xu

    (State Grid Jiangxi Electric Power Research Institute, Nanchang 330096, China)

  • Zhonghai Ye

    (State Grid Jiangxi Electric Power Company Limited, Nanchang 330096, China)

  • Kai Wang

    (State Grid Jiangxi Electric Power Company Limited, Nanchang 330096, China)

  • Bo Chen

    (State Grid Jiangxi Electric Power Research Institute, Nanchang 330096, China)

  • Ning Zhou

    (State Grid Jiangxi Electric Power Research Institute, Nanchang 330096, China)

Abstract

This paper aims to assess the efficacy of the Harris Hawk Optimization (HHO) algorithm within the domain of photovoltaic (PV) power-generation systems. The focus lies in elucidating how the HHO algorithm optimizes maximum-power-point tracking (MPPT) and augments the performance of grid-connected PV systems. Initially, in the MATLAB/Simulink environment, a comparison is made between the HHO algorithm and two other extensively utilized methods for maximum-power-point tracking (MPPT): Perturb and Observe (P&O) and Particle Swarm Optimization (PSO). Preliminary findings indicate the HHO algorithm’s notable advantages in efficiency and speed over the other algorithms. Furthermore, by establishing a practical experimental platform and synchronously verifying outcomes through simulation, we conducted a comprehensive assessment of the HHO algorithm on a single-phase full-bridge-inverter grid-connected system. Results show the HHO algorithm’s exceptional optimization capabilities, which displays superior adaptability and ability to adjust to varying external conditions.

Suggested Citation

  • Xiang Tao & Jianbo Xin & Shuai Zhang & Zaide Xu & Zhonghai Ye & Kai Wang & Bo Chen & Ning Zhou, 2023. "A Novel Harris-Hawk-Optimization-Based Maximum-Power-Point-Tracking Control Strategy for a Grid-Connected PV Power-Generation System," Energies, MDPI, vol. 17(1), pages 1-16, December.
    • Handle: RePEc:gam:jeners:v:17:y:2023:i:1:p:76-:d:1305557
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    References listed on IDEAS

    as
    1. Lakshmi Syamala & Deepa Sankar & Suhara Ekkarakkudy Makkar & Bos Mathew Jos & Mathew Kallarackal, 2022. "Hysteresis Based Quasi Fixed Frequency Current Control of Single Phase Full Bridge Grid Integrated Voltage Source Inverter," Energies, MDPI, vol. 15(21), pages 1-17, October.
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