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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{
  "DOI": "10.1049/iet-rpg.2020.0105", 
  "container_title": "IET Renewable Power Generation", 
  "language": "eng", 
  "title": "Adaptive clustering-based hierarchical layout optimisation for large-scale integrated energy systems", 
  "issued": {
    "date-parts": [
      [
        2021, 
        2, 
        16
      ]
    ]
  }, 
  "abstract": "<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>", 
  "author": [
    {
      "family": "Guo, Hui"
    }, 
    {
      "family": "Shi, Tianling"
    }, 
    {
      "family": "Wang, Fei"
    }, 
    {
      "family": "Zhang, Lijun"
    }, 
    {
      "family": "Lin, Zhengyu"
    }
  ], 
  "type": "article-journal", 
  "id": "4610207"
}
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