TY - GEN
T1 - Analytical Method for Reliability Evaluation of Distribution System Considering Multiple Faults
AU - Zhang, Dingmao
AU - Sun, Siyuan
AU - Zheng, Yang
AU - Li, Gengfeng
AU - Guo, Zili
AU - Bie, Zhaohong
AU - Ma, Ju
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Under the disturbance of extreme events, multiple components of the distribution system will fail simultaneously. However, most evaluation of multiple faults impacts is based on the Monte Carlo simulation method, which takes a long time to calculate. This paper presents three analytical methods for evaluating the reliability of distribution system under multiple faults from the perspectives of customers, components and system. The customer and component perspectives are at the micro level, and the system perspective is at the macro level. The evaluation results of the two levels are slightly different. This paper analyzes the differences between the three methods. The concept of effective failure probability is proposed to prevent the repeated calculation of the impact of simultaneous failure of multiple components on the same load. Finally, the proposed methods are verified on a modified IEEE 37-node feeder test system.
AB - Under the disturbance of extreme events, multiple components of the distribution system will fail simultaneously. However, most evaluation of multiple faults impacts is based on the Monte Carlo simulation method, which takes a long time to calculate. This paper presents three analytical methods for evaluating the reliability of distribution system under multiple faults from the perspectives of customers, components and system. The customer and component perspectives are at the micro level, and the system perspective is at the macro level. The evaluation results of the two levels are slightly different. This paper analyzes the differences between the three methods. The concept of effective failure probability is proposed to prevent the repeated calculation of the impact of simultaneous failure of multiple components on the same load. Finally, the proposed methods are verified on a modified IEEE 37-node feeder test system.
KW - Reliability evaluation
KW - analytical method
KW - distribution system
KW - multiple faults
UR - https://www.scopus.com/pages/publications/85141898547
U2 - 10.1109/CICED56215.2022.9928878
DO - 10.1109/CICED56215.2022.9928878
M3 - 会议稿件
AN - SCOPUS:85141898547
T3 - China International Conference on Electricity Distribution, CICED
SP - 798
EP - 802
BT - Proceedings - 10th China International Conference on Electricity Distribution
PB - IEEE Computer Society
T2 - 10th China International Conference on Electricity Distribution, CICED 2022
Y2 - 7 September 2022 through 8 September 2022
ER -