Journal article Open Access

Adaptive clustering-based hierarchical layout optimisation for large-scale integrated energy systems

Guo, Hui; Shi, Tianling; Wang, Fei; Zhang, Lijun; Lin, Zhengyu


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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>Different energy systems are generally planned and operated independently, which result in the low energy&nbsp;utilisation, weak self-healing ability, and low system reliability. Therefore, an adaptive clustering-based hierarchical layout&nbsp;optimisation method is proposed for a large-scale integrated energy system, considering energy balance, transmission&nbsp;losses and construction costs. First, an adaptive clustering partition method based on energy balance and load moments is&nbsp;proposed to determine the optimal location of energy hubs and to allocate each distributed generation and load to&nbsp;different energy hubs, forming multiple regional integrated energy systems adaptively. Then, the proposed hierarchical&nbsp;layout optimisation model is formulated as to find the modified minimum spanning tree of regional integrated energy&nbsp;system and multi-regional integrated energy systems respectively, to construct an economical and reliable interconnection&nbsp;network. Finally, the effectiveness of the optimisation model and strategy is verified by simulations.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Shanghai University", 
      "@type": "Person", 
      "name": "Guo, Hui"
    }, 
    {
      "affiliation": "Shanghai University", 
      "@type": "Person", 
      "name": "Shi, Tianling"
    }, 
    {
      "affiliation": "Shanghai University", 
      "@type": "Person", 
      "name": "Wang, Fei"
    }, 
    {
      "affiliation": "Shanghai University", 
      "@type": "Person", 
      "name": "Zhang, Lijun"
    }, 
    {
      "affiliation": "Loughborough University", 
      "@id": "https://orcid.org/0000-0001-7733-2431", 
      "@type": "Person", 
      "name": "Lin, Zhengyu"
    }
  ], 
  "headline": "Adaptive clustering-based hierarchical layout optimisation for large-scale integrated energy systems", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2021-02-16", 
  "url": "https://zenodo.org/record/4610207", 
  "keywords": [
    "power distribution reliability", 
    "optimisation", 
    "distributed power generation"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.1049/iet-rpg.2020.0105", 
  "@id": "https://doi.org/10.1049/iet-rpg.2020.0105", 
  "@type": "ScholarlyArticle", 
  "name": "Adaptive clustering-based hierarchical layout optimisation for large-scale integrated energy systems"
}
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