Quantitative Evaluation of Reliability Improvement: Case Study on a Self-healing Distribution System
In this work, we develop a methodology and tool to quantitatively evaluate the reliability of a self-healing system that considers practical distribution system features such as the distributed energy resources, microgrids, and service restoration strategies. Also, this paper addresses various practical issues when being applied to an actual Duke Energy distribution system, including the design of feasible and practical service restoration strategies that are used to identify the customer interruptions after a fault, and the incorporation of the utility's historical reliability indices that are used to calibrate the failure rate and repair time of distribution system components such as overhead lines and underground cables. This case study demonstrates the effectiveness of the proposed method.
- Research Organization:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE Office of Electricity (OE); USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1648855
- Resource Relation:
- Conference: 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) - Washington DC, District of Columbia, United States of America - 2/17/2020 10:00:00 AM-2/20/2020 10:00:00 AM
- Country of Publication:
- United States
- Language:
- English
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