TY - GEN
T1 - Distributed Optimal Power Flow for a Standalone All-Electric Ship using Asynchronous ADMM
AU - Marepalli, Lalit Kishore
AU - Herrera, Luis
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Optimal Power Flow (OPF) is used in a standalone all-electric ship (AES) to minimize generation cost, while maintaining the voltage within constraints. Due to computational complexity in solving the OPF problem using a centralized approach, a distributed optimization technique using the alternating direction method of multipliers (ADMM) is employed. Two types of ADMM methods: synchronous and asynchronous, are used for a 9-node ring bus topology and their computational efficiency is compared. Master and workers control the system by dividing it into areas, and the sequence of operations is demonstrated considering any communication delays. The proposed control strategy can be extended to a higher node dc microgrid that includes power electronic converters, pulsed loads, energy storage, and the efficiency can be tested for different topologies.
AB - Optimal Power Flow (OPF) is used in a standalone all-electric ship (AES) to minimize generation cost, while maintaining the voltage within constraints. Due to computational complexity in solving the OPF problem using a centralized approach, a distributed optimization technique using the alternating direction method of multipliers (ADMM) is employed. Two types of ADMM methods: synchronous and asynchronous, are used for a 9-node ring bus topology and their computational efficiency is compared. Master and workers control the system by dividing it into areas, and the sequence of operations is demonstrated considering any communication delays. The proposed control strategy can be extended to a higher node dc microgrid that includes power electronic converters, pulsed loads, energy storage, and the efficiency can be tested for different topologies.
KW - alternating direction method of multipliers
KW - dc microgrids
KW - distributed optimization
KW - optimal power flow
UR - https://www.scopus.com/pages/publications/85171442489
U2 - 10.1109/ESTS56571.2023.10220561
DO - 10.1109/ESTS56571.2023.10220561
M3 - Conference contribution
AN - SCOPUS:85171442489
T3 - 2023 IEEE Electric Ship Technologies Symposium, ESTS 2023
SP - 183
EP - 188
BT - 2023 IEEE Electric Ship Technologies Symposium, ESTS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Electric Ship Technologies Symposium, ESTS 2023
Y2 - 1 August 2023 through 4 August 2023
ER -