TY - GEN
T1 - Long-term renewable energy usage maximization in a microgrid
AU - Liu, Tong
AU - Zhu, Yanmin
AU - Zhu, Hongzi
AU - Yu, Jiadi
AU - Yang, Yuanyuan
AU - Ye, Fan
N1 - Publisher Copyright: © 2016 IEEE.
PY - 2016/9/14
Y1 - 2016/9/14
N2 - With the development of renewable energy generators and electricity storages, microgrids become a promising technology of the smart grid. Maximizing the usage of renewable energy is vital to running a microgrid as it indicates reduction of the usage of thermal electricity purchased from the macrogrid. To this end, the excessive renewable energy of a user should be transferred to other users who need energy. Unfortunately, coordinating the transfers of renewable energy among the users in the microgrid is particularly difficult due to the stochastic nature of renewable energy, and the dynamic energy demand of each user. In this paper, we consider the problem of maximizing the long-term renewable energy usage by exchanging excessive renewable energy among users in a microgrid. We propose an online control algorithm which determines the amounts of renewable energy transferred among users in an online fashion. We rigorously prove that our online control algorithm is approximately optimal. We have conducted comprehensive simulation results that demonstrate the efficacy of our online algorithm.
AB - With the development of renewable energy generators and electricity storages, microgrids become a promising technology of the smart grid. Maximizing the usage of renewable energy is vital to running a microgrid as it indicates reduction of the usage of thermal electricity purchased from the macrogrid. To this end, the excessive renewable energy of a user should be transferred to other users who need energy. Unfortunately, coordinating the transfers of renewable energy among the users in the microgrid is particularly difficult due to the stochastic nature of renewable energy, and the dynamic energy demand of each user. In this paper, we consider the problem of maximizing the long-term renewable energy usage by exchanging excessive renewable energy among users in a microgrid. We propose an online control algorithm which determines the amounts of renewable energy transferred among users in an online fashion. We rigorously prove that our online control algorithm is approximately optimal. We have conducted comprehensive simulation results that demonstrate the efficacy of our online algorithm.
UR - https://www.scopus.com/pages/publications/84991786814
U2 - 10.1109/ICCCN.2016.7568541
DO - 10.1109/ICCCN.2016.7568541
M3 - Conference contribution
T3 - 2016 25th International Conference on Computer Communications and Networks, ICCCN 2016
BT - 2016 25th International Conference on Computer Communications and Networks, ICCCN 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th International Conference on Computer Communications and Networks, ICCCN 2016
Y2 - 1 August 2016 through 4 August 2016
ER -