TY - JOUR
T1 - Optimal Operation of Energy Hubs Considering Uncertainties and Different Time Resolutions
AU - Javadi, Mohammad Sadegh
AU - Lotfi, Mohamed
AU - Esmaeel Nezhad, Ali
AU - Anvari-Moghaddam, Amjad
AU - Guerrero, Josep M.
AU - Catalão, João P.S.
PY - 2020/9
Y1 - 2020/9
N2 - This article presents a robust chance-constrained optimization framework for the optimal operation management of an energy hub (EH) in the presence of electrical, heating, and cooling demands, and renewable power generation. The proposed strategy can be used for optimal decision making of operators of EHs or energy providers. The electrical energy storage device in the studied EH can handle the fluctuations in operating points raised by such uncertainties. In order to model the hourly demands and renewable power generation uncertainties, a robust chance-constrained close-to-real-time model is adopted in this article. The considered EH in this study follows a centralized framework and the EH operator is responsible for the optimal operation of the hub assets based on the day-ahead scheduling. A thorough analysis of energy flows with different carriers is presented. In addition, a numerical stability test regarding the selection of the time step size is performed to guarantee the solution's time resolution independence, occurring in previous studies.
AB - This article presents a robust chance-constrained optimization framework for the optimal operation management of an energy hub (EH) in the presence of electrical, heating, and cooling demands, and renewable power generation. The proposed strategy can be used for optimal decision making of operators of EHs or energy providers. The electrical energy storage device in the studied EH can handle the fluctuations in operating points raised by such uncertainties. In order to model the hourly demands and renewable power generation uncertainties, a robust chance-constrained close-to-real-time model is adopted in this article. The considered EH in this study follows a centralized framework and the EH operator is responsible for the optimal operation of the hub assets based on the day-ahead scheduling. A thorough analysis of energy flows with different carriers is presented. In addition, a numerical stability test regarding the selection of the time step size is performed to guarantee the solution's time resolution independence, occurring in previous studies.
KW - Electrical energy storage (EES)
KW - Energy hub
KW - Optimal Operation
KW - Stochastic Programming
UR - http://www.scopus.com/inward/record.url?scp=85087048848&partnerID=8YFLogxK
U2 - 10.1109/TIA.2020.3000707
DO - 10.1109/TIA.2020.3000707
M3 - Journal article
SN - 0093-9994
VL - 56
SP - 5543
EP - 5552
JO - I E E E Transactions on Industry Applications
JF - I E E E Transactions on Industry Applications
IS - 5
M1 - 9110775
ER -