TY - GEN
T1 - Power Grids Partitioning by Detection of Electrical Communities
AU - Tian, Liang
AU - Zhao, Xiaoli
AU - Wang, Yiran
AU - Piao, Lechuan
AU - Xue, Fei
AU - Wu, Qigang
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In rapidly evolving power grids, effective partitioning strategies are critical for ensuring stability, reliability, and efficiency in subsystems and even the operation of the entire system. Community detection has been considered promising in power grids partition recently, but the electrical features were not well integrated with most conventional algorithms. This study proposes a novel Inversed Girvan-Newman Algorithm to partition power grids. Compared with traditional Girvan-Newman Algorithm, the updated electrical betweenness plays a totally different role in principle according to basic understanding of electrical community. Case studies in IEEE-lIS and IEEE-300 bus transmission networks are implemented to detect electrical communities, which has shown better performance in modularity, boundary flow, and subsystem operational cost.
AB - In rapidly evolving power grids, effective partitioning strategies are critical for ensuring stability, reliability, and efficiency in subsystems and even the operation of the entire system. Community detection has been considered promising in power grids partition recently, but the electrical features were not well integrated with most conventional algorithms. This study proposes a novel Inversed Girvan-Newman Algorithm to partition power grids. Compared with traditional Girvan-Newman Algorithm, the updated electrical betweenness plays a totally different role in principle according to basic understanding of electrical community. Case studies in IEEE-lIS and IEEE-300 bus transmission networks are implemented to detect electrical communities, which has shown better performance in modularity, boundary flow, and subsystem operational cost.
KW - community detection
KW - Complex Network
KW - Electrical Edge Betweenness
KW - Girvan-Newman Algorithm
KW - Modularity
UR - http://www.scopus.com/inward/record.url?scp=85200235326&partnerID=8YFLogxK
U2 - 10.1109/CIEEC60922.2024.10583150
DO - 10.1109/CIEEC60922.2024.10583150
M3 - Conference Proceeding
AN - SCOPUS:85200235326
T3 - Proceedings of 2024 IEEE 7th International Electrical and Energy Conference, CIEEC 2024
SP - 155
EP - 160
BT - Proceedings of 2024 IEEE 7th International Electrical and Energy Conference, CIEEC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Electrical and Energy Conference, CIEEC 2024
Y2 - 10 May 2024 through 12 May 2024
ER -
