{
  "abstract": "This paper presents a photovoltaic (PV)-assisted Unified Power Quality Conditioner (UPQC) for enhancing power quality in grid-connected microgrids. The main novelty lies in the integration of a Sequence-Aware Gated Attention Neural Network (SA-GANN) and a Chaotic Parrot Optimization Algorithm tuned PI (CPOA-PI) controller. Unlike conventional UPQC controllers, the proposed SA-GANN directly learns positive and negative-sequence voltage and current characteristics to generate coordinated reference signals for both series and shunt compensators, eliminating the need for separate sequence extraction and transformation stages. In addition, the CPOA-PI controller provides fast and stable DC-link voltage regulation under dynamic operating conditions. The proposed PV-UPQC system is evaluated in MATLAB/Simulink under no-load, voltage sag, and voltage swell conditions. Simulation results demonstrate effective voltage restoration, harmonic suppression, and DC-link stabilization. The proposed method achieves source current THD values of 1.98%, 2.04%, and 2.50% for the three phases, reduces the voltage unbalance factor to 0.3%, and maintains a power factor of 0.999. The results confirm that the proposed control strategy provides superior power quality enhancement and dynamic performance compared with existing UPQC control approaches.",
  "abstract_shown": true,
  "affiliations": [
    "Department of EEE, Rajalakshmi Engineering College"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 2,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "D. Anitha"
    },
    {
      "affs": [
        0
      ],
      "name": "K. Premkumar"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/adjkdjj5qbnf4.bib",
  "cited_by": 0,
  "doi": "10.1038/s41598-026-69556-6",
  "fulltext_url": "https://doi.org/10.1038/s41598-026-69556-6",
  "id": "adjkdjj5qbnf4",
  "issns": [
    "2045-2322"
  ],
  "landing_url": "https://doi.org/10.1038/s41598-026-69556-6",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "Q"
    ],
    [
      "lcc",
      "R"
    ],
    [
      "openalex",
      "2208|Power Quality and Harmonics"
    ]
  ],
  "openalex": "W7210277693",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-01",
  "publisher": "Nature Portfolio",
  "ris": "https://research.draconitic.com/paper/adjkdjj5qbnf4.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:45:55Z",
      "native_id": "fc4d6db5093145d38cce2202aa988117",
      "source": "doaj",
      "url": "https://doi.org/10.1038/s41598-026-69556-6"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "lcc:R",
      "subfield": "general"
    }
  ],
  "title": "Intelligent UPQC control using SA-GANN and optimized DC-link regulation in grid-connected microgrids",
  "title_text": "Intelligent UPQC control using SA-GANN and optimized DC-link regulation in grid-connected microgrids",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:45:55Z",
  "url": "https://research.draconitic.com/paper/adjkdjj5qbnf4",
  "venue": "Scientific Reports",
  "versions": []
}