Buildings Participation in Resilience Enhancement of Community Microgrids: Synergy Between Microgrid and Building Management Systems

被引:12
作者
Chamana, Manohar [1 ]
Schmitt, Konrad Erich Kork [2 ]
Bhatta, Rabindra [2 ]
Liyanage, Sanka [3 ]
Osman, Ilham [4 ]
Murshed, Mahtab [2 ]
Bayne, Stephen [2 ]
MacFie, Joshua [3 ]
机构
[1] Texas Tech Univ, Natl Wind Inst, Lubbock, TX 79409 USA
[2] Texas Tech Univ, Dept Elect & Comp Engn, Lubbock, TX 79409 USA
[3] Grp NIRE Renewable Energy, Lubbock, TX 79414 USA
[4] Gen Motors, Warren, MI 48092 USA
关键词
Microgrids; Building management systems; Reactive power; Resilience; Voltage control; Reliability; Distributed power generation; Power system restoration; Hardware-in-the-loop simulation; demand side management; hardware-in-the-loop simulation; microgrids; power system restoration; ENERGY MANAGEMENT; DEMAND RESPONSE; LOAD CONTROL; RECONFIGURATION; RELIABILITY; OPERATION;
D O I
10.1109/ACCESS.2022.3207772
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Military bases, communities, and university-scale microgrids are being implemented to serve critical loads of high priority. Remote switch scheduling and distributed energy resources (DERs) operation strategies for post-disaster service restoration have been explored in previous literature. Flexible buildings offer the central microgrid management system an opportunity to ensure available energy is directed to critical loads. This work presents a novel bi-level optimal sequence of operations for managing the controllable devices in small-scale microgrids to serve loads based on a priority scheme in campus-scale microgrids. This study introduces a technique for step-by-step restoration of customers' granular loads. After and during an outage scenario, the facilities' internal loads are energized in sequence according to their customer and local criticality levels, as well as the amount of energy available from the bulk system and DERs. The proposed methodology is formulated as a mixed-integer linear programming (MILP) model and adapts to various operating conditions. The proposed method is validated by performing controller hardware-in-loop (CHIL) case studies on the Banshee microgrid benchmark model on a real-time simulator.
引用
收藏
页码:100922 / 100938
页数:17
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