TY - GEN
T1 - Distributed Multi-Battery Coordination for Cooperative Energy Management via ADMM-based Iterative Learning
AU - Li, Yun
AU - Zhang, Tao
AU - Zhu, Quanyan
N1 - Publisher Copyright:
© 2020 AACC.
PY - 2020/7
Y1 - 2020/7
N2 - In this paper, a distributed price-responsive energy management algorithm is proposed for a smart residential energy system (RES) equipped with multiple energy storage devices. First, the future system states are predicted via an iterative learning approach based on the lifted domain representation. Then, RES management is formulated as an optimization problem by taking into account the time-varying electricity rate, battery properties, and system operational constraints. Finally, we adopt the Alternating Direction Method of Multipliers (ADMM) and compute the optimal charging/discharging actions of local batteries in a distributed manner to establish a flexible, scalable, and computation-efficient power network. Numerical simulation is provided to illustrate the performance of our proposed algorithm.
AB - In this paper, a distributed price-responsive energy management algorithm is proposed for a smart residential energy system (RES) equipped with multiple energy storage devices. First, the future system states are predicted via an iterative learning approach based on the lifted domain representation. Then, RES management is formulated as an optimization problem by taking into account the time-varying electricity rate, battery properties, and system operational constraints. Finally, we adopt the Alternating Direction Method of Multipliers (ADMM) and compute the optimal charging/discharging actions of local batteries in a distributed manner to establish a flexible, scalable, and computation-efficient power network. Numerical simulation is provided to illustrate the performance of our proposed algorithm.
UR - http://www.scopus.com/inward/record.url?scp=85089592551&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85089592551&partnerID=8YFLogxK
U2 - 10.23919/ACC45564.2020.9147988
DO - 10.23919/ACC45564.2020.9147988
M3 - Conference contribution
AN - SCOPUS:85089592551
T3 - Proceedings of the American Control Conference
SP - 2232
EP - 2237
BT - 2020 American Control Conference, ACC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 American Control Conference, ACC 2020
Y2 - 1 July 2020 through 3 July 2020
ER -