TY - GEN
T1 - A Dynamic Cascading Failure Model Integrating Relay Protection in Power Grid
AU - Yang, Yujie
AU - Zhou, Yadong
AU - Wu, Jiang
AU - Xu, Zhanbo
AU - Guan, Xiaohong
AU - Chen, Wei
AU - Liu, Ting
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - Cascading failure in power grid is a key factor in large power blackouts. Through analyzing historical power blackouts, it is found that relay protection plays an important role in cascading failure propagation. However, existing cascading failure model cannot accurately reflect the relay protection action. In this paper, a model integrating relay protection for cascading failure based on AC power flow is proposed. In the model, relay protection systems including distance protection, pilot distance protection and cumulative overloading protection are described and integrated respectively. According to the proposed model, a simulation algorithm of cascading failure process is also developed. In the experiment, our model is compared with the DC power flow model and topological model. The experimental results show that the probability of demand loss in our model is significantly lower than the other two models, which is consistent with the dynamic behavior of entire power system in the actual power grid.
AB - Cascading failure in power grid is a key factor in large power blackouts. Through analyzing historical power blackouts, it is found that relay protection plays an important role in cascading failure propagation. However, existing cascading failure model cannot accurately reflect the relay protection action. In this paper, a model integrating relay protection for cascading failure based on AC power flow is proposed. In the model, relay protection systems including distance protection, pilot distance protection and cumulative overloading protection are described and integrated respectively. According to the proposed model, a simulation algorithm of cascading failure process is also developed. In the experiment, our model is compared with the DC power flow model and topological model. The experimental results show that the probability of demand loss in our model is significantly lower than the other two models, which is consistent with the dynamic behavior of entire power system in the actual power grid.
UR - https://www.scopus.com/pages/publications/85094129826
U2 - 10.1109/CASE48305.2020.9216829
DO - 10.1109/CASE48305.2020.9216829
M3 - 会议稿件
AN - SCOPUS:85094129826
T3 - IEEE International Conference on Automation Science and Engineering
SP - 1331
EP - 1336
BT - 2020 IEEE 16th International Conference on Automation Science and Engineering, CASE 2020
PB - IEEE Computer Society
T2 - 16th IEEE International Conference on Automation Science and Engineering, CASE 2020
Y2 - 20 August 2020 through 21 August 2020
ER -