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<p>The rise of renewable-powered stand-alone DC microgrids in buildings has nurtured the formation of building-integrated stand-alone (BIS) DC microgrid clusters, allowing the exchange of energy among peers. In the BIS DC microgrid cluster, the optimal load scheduling framework (OLSF) is indispensable during planning and operation. Thus, this paper proposes the OLSF using the binary particle swarm optimization algorithm. The proposed OLSF aims to maximize user comfort and minimize the peak-to-average ratio (PAR) and electricity costs by scheduling the loads of peers in the cluster. Additionally, it enables peer-to-peer energy trading within the cluster. The proposed OLSF is implemented in MATLAB, and the results demonstrate that it maximizes user comfort and minimizes the PAR and electricity costs of peers in the cluster.</p>

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Optimal Scheduling of Loads for Peers in the Building-Integrated Stand-alone DC Microgrid Cluster

  • 期刊论文

  • 发表日期：

    2025年9月9日

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  • Vidya T.,
  • Navin Sam K.,
  • Jain Vinith P. R.,
  • Ram Jethmalani C. H.,
  • Dheepanchakkravarthy A.

摘要

The rise of renewable-powered stand-alone DC microgrids in buildings has nurtured the formation of building-integrated stand-alone (BIS) DC microgrid clusters, allowing the exchange of energy among peers. In the BIS DC microgrid cluster, the optimal load scheduling framework (OLSF) is indispensable during planning and operation. Thus, this paper proposes the OLSF using the binary particle swarm optimization algorithm. The proposed OLSF aims to maximize user comfort and minimize the peak-to-average ratio (PAR) and electricity costs by scheduling the loads of peers in the cluster. Additionally, it enables peer-to-peer energy trading within the cluster. The proposed OLSF is implemented in MATLAB, and the results demonstrate that it maximizes user comfort and minimizes the PAR and electricity costs of peers in the cluster.