TY - JOUR
T1 - Robustly Coordinated Operation of a Multi-Energy Microgrid with Flexible Electric and Thermal Loads
AU - Zhang, Cuo
AU - Xu, Yan
AU - Li, Zhengmao
AU - Dong, Zhao Yang
N1 - Funding Information:
Manuscript received November 12, 2017; revised January 31, 2018; accepted February 19, 2018. Date of publication February 27, 2018; date of current version April 19, 2019. This work was supported in part by Australian Research Council under Grant DP170103427 and Grant DP180103217, in part by the Singapore Ministry of Education through AcRF Tier 1 Project, and in part by the National Natural Science Foundation of China under Project 51767003. The work of C. Zhang was supported by Australian Government Research Training Program Scholarship. The work of Y. Xu was supported by the Nanyang Assistant Professorship Award from Nanyang Technological University, Singapore. Paper no. TSG-01652-2017. (Corresponding author: Yan Xu.) C. Zhang and Z. Y. Dong are with the School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW 2052, Australia (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 2010-2012 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - A multi-energy microgrid (MEMG) can simultaneously supply electric and thermal energy to customers to improve overall energy utilization efficiency. However, intermittency and uncertainty from renewable power generation, such as wind turbines and solar photovoltaics, as well as electric and temperature-dependent thermal loads can significantly challenge and complicate the operation of an MEMG. To conquer the challenges, this paper utilizes price-based demand response and indoor temperature control to flexibilize the electric and thermal loads, respectively. Then, a two-stage coordinated operation method is proposed to optimally coordinate the combined cooling, heat, and power plants, flexible electric and thermal loads, and thermal storage under these multiple uncertainties. The mathematical problem is modeled as a two-stage robust optimization model and solved by column-and-constraint generation algorithm. Simulation results verify high energy utilization efficiency and operating robustness of the proposed method.
AB - A multi-energy microgrid (MEMG) can simultaneously supply electric and thermal energy to customers to improve overall energy utilization efficiency. However, intermittency and uncertainty from renewable power generation, such as wind turbines and solar photovoltaics, as well as electric and temperature-dependent thermal loads can significantly challenge and complicate the operation of an MEMG. To conquer the challenges, this paper utilizes price-based demand response and indoor temperature control to flexibilize the electric and thermal loads, respectively. Then, a two-stage coordinated operation method is proposed to optimally coordinate the combined cooling, heat, and power plants, flexible electric and thermal loads, and thermal storage under these multiple uncertainties. The mathematical problem is modeled as a two-stage robust optimization model and solved by column-and-constraint generation algorithm. Simulation results verify high energy utilization efficiency and operating robustness of the proposed method.
KW - Demand response
KW - multi-energy microgrid
KW - renewable energy
KW - robust optimization
KW - thermal load control
UR - http://www.scopus.com/inward/record.url?scp=85042867970&partnerID=8YFLogxK
U2 - 10.1109/TSG.2018.2810247
DO - 10.1109/TSG.2018.2810247
M3 - Article
AN - SCOPUS:85042867970
SN - 1949-3053
VL - 10
SP - 2765
EP - 2775
JO - IEEE Transactions on Smart Grids
JF - IEEE Transactions on Smart Grids
IS - 3
M1 - 8303751
ER -
