Hierarchical Operation of Community Microgrids with Clustered Load Participation for Economic Benefits

Abstract

Community-scale microgrids are essential in providing economic benefits by managing behind-the-meter (BTM) and field distributed energy resources (DERs). Electric loads are primarily considered lumped loads without many granular-level controls. Flexible buildings offer the central microgrid management system an opportunity to shed multiple loads at granular levels by adopting Internet-of-Things (IoT) based controls. In this study, a new approach is introduced for efficiently controlling the controllable devices in community-scale microgrids, prioritizing load management. The method proposed utilizes a bi-level optimal sequence of operations and is adaptable to different operational scenarios. To formulate the approach, a mixed-integer linear programming (MILP) model is employed. The effectiveness of the proposed method is demonstrated through case studies conducted on the Banshee microgrid benchmark model.

Authors

Manohar Chamana, Mahtab Murshed, Rabindra Bhatta, Konrad Schmitt, Larissa Souto, Rajendra Shrestha, Meisam Mahdavi, Olatunji Adeyanju, Stephen Bayne

Keywords

community-scale microgrid, peak-shaving, time-of-use, economic benefits

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Publication Type

Conference

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Digital Object Identifier

https://doi.org/10.1109/TD47997.2024.10556365

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Full Citation

M. Chamana et al., Hierarchical Operation of Community Microgrids with Clustered Load Participation for Economic Benefits, 2024 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), Anaheim, CA, USA, 2024, pp. 1-5

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