TY - GEN
T1 - Quantitative evaluation of reliability improvement
T2 - 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
AU - Dong, Jiaojiao
AU - Zhu, Lin
AU - Kritprajun, Paychuda
AU - Liu, Yilu
AU - Tolbert, Leon M.
AU - Hambrick, Joshua C.
AU - Schneider, Kevin
AU - Laval, Stuart
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - 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.
AB - 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.
KW - Distributed energy resources
KW - Distribution automation
KW - Distribution system
KW - Microgrid
KW - Recloser
KW - Reliability
KW - Self-healing system
KW - Service restoration
UR - http://www.scopus.com/inward/record.url?scp=85086260415&partnerID=8YFLogxK
U2 - 10.1109/ISGT45199.2020.9087679
DO - 10.1109/ISGT45199.2020.9087679
M3 - Conference contribution
AN - SCOPUS:85086260415
T3 - 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
BT - 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 February 2020 through 20 February 2020
ER -