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<p>This paper proposes a multi-harmonic compensation control strategy based on the simulated annealing particle swarm optimization (SA-PSO) algorithm to address the overmodulation caused by power imbalance in wind and solar micro-sources within a half-bridge converter series Y-connection microgrid (HCSY-MG) grid-connected system. The strategy introduces appropriate higher-order harmonics such as the 3rd, 5th, 7th, and 9th harmonics, into the overmodulated units to adjust the modulation wave amplitude, ensuring that it remains within a value of 1. At the same time, corresponding inverse harmonics are injected into the non-overmodulated units to cancel out the effects of the forward harmonics. The SA-PSO algorithm is used to quickly optimize the compensation coefficients for each harmonic, expanding the modulation range and enhancing the system stability. Simulation and experimental results demonstrate that this method significantly improves the operational stability of the system under severe power imbalance conditions in micro-sources, effectively overcoming the limitations of traditional methods and validating the correctness and effectiveness of the proposed strategy.</p>

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SA-PSO algorithm based multiple harmonic compensation to achieve power balance control in HCSY-MG systems

  • 期刊论文

  • 发表日期：

    2025年2月15日

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  • Xinggui Wang,
  • Yu Li,
  • Jinjian Li,
  • Yingjie Ding,
  • Sheng Xue

摘要

This paper proposes a multi-harmonic compensation control strategy based on the simulated annealing particle swarm optimization (SA-PSO) algorithm to address the overmodulation caused by power imbalance in wind and solar micro-sources within a half-bridge converter series Y-connection microgrid (HCSY-MG) grid-connected system. The strategy introduces appropriate higher-order harmonics such as the 3rd, 5th, 7th, and 9th harmonics, into the overmodulated units to adjust the modulation wave amplitude, ensuring that it remains within a value of 1. At the same time, corresponding inverse harmonics are injected into the non-overmodulated units to cancel out the effects of the forward harmonics. The SA-PSO algorithm is used to quickly optimize the compensation coefficients for each harmonic, expanding the modulation range and enhancing the system stability. Simulation and experimental results demonstrate that this method significantly improves the operational stability of the system under severe power imbalance conditions in micro-sources, effectively overcoming the limitations of traditional methods and validating the correctness and effectiveness of the proposed strategy.