Preventive Power Outage Estimation Based on A Novel Scenario Clustering Strategy: Preprint

Conference · Thu Aug 01 00:00:00 EDT 2024

OSTI ID:2427278

Wang, Xiaofei; Liu, Weijia; Ding, Fei; Yao, Yiyun; Zhao, Junbo

The increasing occurrence of extreme weather events is challenging the power grid operation. In front of the extreme weather, the system operator is responsible for estimating the power outage and scheduling the restoration resources. This paper proposes an outage evaluation framework to identify the possible unserved load profiles, vulnerable areas, and mobile energy adequacy. The predicted vulnerable lines of an outage prediction model tool are utilized to generate numerous faulted line scenarios. Next, each scenario's nodal unserved load profile is obtained by solving a three-phase restoration model that considers the schedule of repair crews and mobile energy resources. Then, a novel scenario clustering strategy is developed to cluster the unserved load profiles into multiple representative ones for straightforward analysis. Finally, case studies on a distribution system evaluate the damage level brought by extreme weather and verify the effectiveness of the proposed scenario clustering strategy.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
• DOE Contract Number: AC36-08GO28308
• OSTI ID: 2427278
• Report Number(s): NREL/CP-5D00-87960; MainId:88735; UUID:19e21a74-c334-4bf3-8d76-c331d7e686cc; MainAdminId:72062
• Conference Information: Presented at the 2024 IEEE Power & Energy Society General Meeting, 21-25 July 2024, Seattle, Washington
• Country of Publication: United States
• Language: English

Related Subjects

mobile energy resources
power system resilience
POWER TRANSMISSION AND DISTRIBUTION
SOLAR ENERGY
preventive outage evaluation
scenario clustering