TY - GEN
T1 - Dynamic NMGs-based Load Restoration for Resilient Distribution System Considering Multisource Collaboration and Droop Control
AU - Wang, Zhiran
AU - Yang, Qiming
AU - Huang, Yuxiong
AU - Li, Gengfeng
AU - Tang, Yida
AU - Zhang, Xiaoman
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The large amount of distributed generation can provide emergency power supply to critical loads during blackouts and help build resilient distribution systems. This paper examines a distribution system equipped with controlled switch devices and various distributed energy resources, including droop-controlled generators and energy storage systems capable of supplying power. This paper introduces a comprehensive mathematical model for load restoration that integrates network reconfiguration and dynamic networked microgrids formation strategies to optimize both load restoration and cost efficiency. The effectiveness of this model is demonstrated through simulations on modified PG&E 69-node distribution system, showing that our approach significantly reduces load shedding and operational costs, thereby improving the system's resilience to natural disasters. The study effectively underscores the benefits of networked microgrids and multisource collaboration in sustaining critical power supplies during high-impact low-probability events.
AB - The large amount of distributed generation can provide emergency power supply to critical loads during blackouts and help build resilient distribution systems. This paper examines a distribution system equipped with controlled switch devices and various distributed energy resources, including droop-controlled generators and energy storage systems capable of supplying power. This paper introduces a comprehensive mathematical model for load restoration that integrates network reconfiguration and dynamic networked microgrids formation strategies to optimize both load restoration and cost efficiency. The effectiveness of this model is demonstrated through simulations on modified PG&E 69-node distribution system, showing that our approach significantly reduces load shedding and operational costs, thereby improving the system's resilience to natural disasters. The study effectively underscores the benefits of networked microgrids and multisource collaboration in sustaining critical power supplies during high-impact low-probability events.
KW - distributed energy resources
KW - droop control
KW - dynamic networked microgrids
KW - load restoration
KW - network reconstruction
UR - https://www.scopus.com/pages/publications/105002864558
U2 - 10.1109/ICPET62369.2024.10941030
DO - 10.1109/ICPET62369.2024.10941030
M3 - 会议稿件
AN - SCOPUS:105002864558
T3 - 2024 6th International Conference on Power and Energy Technology, ICPET 2024
SP - 735
EP - 740
BT - 2024 6th International Conference on Power and Energy Technology, ICPET 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Power and Energy Technology, ICPET 2024
Y2 - 12 July 2024 through 15 July 2024
ER -