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Title: Improving Power System Resilience through Decentralized Decision-Making
Natural disasters has been causing an increasing amount of economic losses in the past two decades. Natural disasters, such as hurricanes, winter storms, and wildfires, can cause severe damages to power systems, significantly impacting industrial, commercial, and residential activities, leading to not only economic losses but also inconveniences to people’s day-today life. Improving the resilience of power systems can lead to a reduced number of power outages during extreme events and is a critical goal in today’s power system operations. This paper presents a model for decentralized decision-making in power systems based on distributed optimization and implemented it on a modified RTS-96 test system, discusses the convergence of the problem, and compares the impact of decision-making mechanisms on power system resilience. Results show that a decentralized decision-making algorithm can significantly reduce power outages when part of the system is islanded during severe transmission contingencies.  more » « less
Award ID(s):
2131201
NSF-PAR ID:
10388903
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
The 54th North American Power Symposium (NAPS)
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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