May 7, 2020
Conference Paper

Quantitative Evaluation of Reliability Improvement: Case Study on a Self-healing Distribution System

Abstract

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.

Revised: August 6, 2020 | Published: May 7, 2020

Citation

Dong J., L. Zhu, P. Kritprajun, Y. Liu, L. Tolbert, J. Hambrick, and K.P. Schneider, et al. 2020. Quantitative Evaluation of Reliability Improvement: Case Study on a Self-healing Distribution System. In IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT 2020), February 17-20, 2020, Washington DC, Article No. 9087679. Piscataway, New Jersey:IEEE. PNNL-SA-145709. doi:10.1109/ISGT45199.2020.9087679