TY - GEN
T1 - A comparative study of benders decomposition and ADMM for decentralized optimal power flow
AU - Candas, Soner
AU - Zhang, Kai
AU - Hamacher, Thomas
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - Aiming for solving optimal power flow (OPF) problems decentrally, this work offers a comparative analysis between methods representing two distinct families of decomposition techniques: Benders decomposition (BD) from cutting-plane methods and consensus-based alternating direction method of multipliers (ADMM) from dual decomposition-based algorithms. Within the scope of the study, the computational performance and their communication requirements of these methods are compared. The results demonstrate a relative advantage of BD in terms of computational performance, as ADMM mostly requires a considerably larger number of iterations under the same convergence criterion. ADMM in turn has a completely distributed architecture, which allows regulators to withhold local information and realizes a higher parallelization potential.
AB - Aiming for solving optimal power flow (OPF) problems decentrally, this work offers a comparative analysis between methods representing two distinct families of decomposition techniques: Benders decomposition (BD) from cutting-plane methods and consensus-based alternating direction method of multipliers (ADMM) from dual decomposition-based algorithms. Within the scope of the study, the computational performance and their communication requirements of these methods are compared. The results demonstrate a relative advantage of BD in terms of computational performance, as ADMM mostly requires a considerably larger number of iterations under the same convergence criterion. ADMM in turn has a completely distributed architecture, which allows regulators to withhold local information and realizes a higher parallelization potential.
KW - ADMM
KW - Benders decomposition
KW - Decentralized optimization
KW - Optimal power flow
UR - https://www.scopus.com/pages/publications/85086231919
U2 - 10.1109/ISGT45199.2020.9087777
DO - 10.1109/ISGT45199.2020.9087777
M3 - Conference contribution
AN - SCOPUS:85086231919
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.
T2 - 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
Y2 - 17 February 2020 through 20 February 2020
ER -