TY - GEN
T1 - A Multi-Criteria Optimal Operation Framework for Renewable Energy Integrated Data Center Microgrid with Waste Heat Recovery
AU - Li, Yuanzheng
AU - Huang, Jingjing
AU - Liu, Yun
AU - Wang, Hao
AU - Wang, Yongzhen
AU - Ai, Xiaomeng
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/4/27
Y1 - 2021/4/27
N2 - The rapid development of data centers (DCs) leads to a huge challenge in their energy consumption and environmental impact. It is promising to establish data center microgrid (DCMG) with renewable energy generation and waste heat recovery system to address these issues. However, the efficient energy management of DCMG is to be pursued. In this paper, we propose a multi-criteria optimal operation framework for the DCMG, considering coordinated scheduling of energy supply and demand. In this framework, multiple criteria are comprehensively considered via a multi-criteria optimization (MCO) approach. Then, we adopt the augmented e-constraint algorithm to address the corresponding MCO problem. Afterwards, a balanced decision making method is further proposed to determine the optimal scheduling solution. Finally, case study and results analysis verify the effectiveness of proposed multi-criteria optimal operation fr-amework for the DCMG.
AB - The rapid development of data centers (DCs) leads to a huge challenge in their energy consumption and environmental impact. It is promising to establish data center microgrid (DCMG) with renewable energy generation and waste heat recovery system to address these issues. However, the efficient energy management of DCMG is to be pursued. In this paper, we propose a multi-criteria optimal operation framework for the DCMG, considering coordinated scheduling of energy supply and demand. In this framework, multiple criteria are comprehensively considered via a multi-criteria optimization (MCO) approach. Then, we adopt the augmented e-constraint algorithm to address the corresponding MCO problem. Afterwards, a balanced decision making method is further proposed to determine the optimal scheduling solution. Finally, case study and results analysis verify the effectiveness of proposed multi-criteria optimal operation fr-amework for the DCMG.
KW - Data center microgrid
KW - decision making
KW - multi-criteria optimization
KW - renewable energy
KW - scheduling
UR - http://www.scopus.com/inward/record.url?scp=85105718791&partnerID=8YFLogxK
U2 - 10.1109/ICPS51807.2021.9416605
DO - 10.1109/ICPS51807.2021.9416605
M3 - Conference contribution
AN - SCOPUS:85105718791
T3 - Conference Record - Industrial and Commercial Power Systems Technical Conference
BT - 2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference, I and CPS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 57th IEEE/IAS Industrial and Commercial Power Systems Technical Conference, I and CPS 2021
Y2 - 27 April 2021 through 30 April 2021
ER -
