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<p>One of the primary technical difficulties in distributed generation power systems is the problem of power quality (PQ). Furthermore, PQ has been greatly decreased in distributed generation networks due to harmonics and voltage sag compensation, which has an impact on system stability. The hybrid technique of power quality in distribution networks utilizing three-phase unified power quality conditioner is proposed in this work as a means of improving power quality in power distribution networks. The main objective of the proposed approach is to lessen voltage and current harmonics and voltage-swell and voltage-sag<Emphasis Type="BoldItalic">.</Emphasis> The Gazelle optimization algorithm is used to optimize control parameters, while the spiking deep residual network refines control strategies. Together, they enhance PQin UPQC systems by adapting to dynamic conditions, reducing power loss, and mitigating voltage instability and harmonic distortion. By then, the proposed method’s performance is implemented into execution on the MATLAB platform, and it is contrasted with other existing methods. The proposed technique displays superior outcome in all approaches like salp swarm algorithm, cuckoo search algorithm, and latent semantic analysis. From the outcomes, it is concluded that the proposed method reduces the total harmonic distortion is 1(%), power loss is 82.85&#xa0;KW is low and the computation time is 0.4&#xa0;s it is lower than compared with other existing methods.</p>

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Enhancing power quality in distribution networks using three-phase unified power quality conditioner (UPQC)

  • 期刊论文

  • 发表日期：

    2025年4月10日

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  • M. Jagadeesh Kumar,
  • P. Chandrasekar,
  • B. Anand Bhat,
  • Sachin Gupta

摘要

One of the primary technical difficulties in distributed generation power systems is the problem of power quality (PQ). Furthermore, PQ has been greatly decreased in distributed generation networks due to harmonics and voltage sag compensation, which has an impact on system stability. The hybrid technique of power quality in distribution networks utilizing three-phase unified power quality conditioner is proposed in this work as a means of improving power quality in power distribution networks. The main objective of the proposed approach is to lessen voltage and current harmonics and voltage-swell and voltage-sag. The Gazelle optimization algorithm is used to optimize control parameters, while the spiking deep residual network refines control strategies. Together, they enhance PQin UPQC systems by adapting to dynamic conditions, reducing power loss, and mitigating voltage instability and harmonic distortion. By then, the proposed method’s performance is implemented into execution on the MATLAB platform, and it is contrasted with other existing methods. The proposed technique displays superior outcome in all approaches like salp swarm algorithm, cuckoo search algorithm, and latent semantic analysis. From the outcomes, it is concluded that the proposed method reduces the total harmonic distortion is 1(%), power loss is 82.85 KW is low and the computation time is 0.4 s it is lower than compared with other existing methods.