TY - JOUR
T1 - An adjustable robust optimization approach to scheduling of continuous industrial processes providing interruptible load
AU - Zhang, Qi
AU - Morari, Michael F.
AU - Grossmann, Ignacio E.
AU - Sundaramoorthy, Arul
AU - Pinto, Jose M.
N1 - Publisher Copyright:
© 2015 Elsevier Ltd.
PY - 2016/3/4
Y1 - 2016/3/4
N2 - To ensure the stability of the power grid, backup capacities are called upon when electricity supply does not meet demand due to unexpected changes in the grid. As part of the demand response efforts in recent years, large electricity consumers are encouraged by financial incentives to provide such operating reserve in the form of load reduction capacities (interruptible load). However, a major challenge lies in the uncertainty that one does not know in advance when load reduction will be requested. In this work, we develop a scheduling model for continuous industrial processes providing interruptible load. An adjustable robust optimization approach, which incorporates recourse decisions using linear decision rules, is applied to model the uncertainty. The proposed model is applied to an illustrative example as well as a real-world air separation case. The results show the benefits from selling interruptible load and the value of considering recourse in the decision-making.
AB - To ensure the stability of the power grid, backup capacities are called upon when electricity supply does not meet demand due to unexpected changes in the grid. As part of the demand response efforts in recent years, large electricity consumers are encouraged by financial incentives to provide such operating reserve in the form of load reduction capacities (interruptible load). However, a major challenge lies in the uncertainty that one does not know in advance when load reduction will be requested. In this work, we develop a scheduling model for continuous industrial processes providing interruptible load. An adjustable robust optimization approach, which incorporates recourse decisions using linear decision rules, is applied to model the uncertainty. The proposed model is applied to an illustrative example as well as a real-world air separation case. The results show the benefits from selling interruptible load and the value of considering recourse in the decision-making.
KW - Adjustable robust optimization
KW - Demand response
KW - Interruptible load
KW - Mixed-integer linear programming
KW - Production scheduling
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U2 - 10.1016/j.compchemeng.2015.12.018
DO - 10.1016/j.compchemeng.2015.12.018
M3 - Article
AN - SCOPUS:84961895940
SN - 0098-1354
VL - 86
SP - 106
EP - 119
JO - Computers and Chemical Engineering
JF - Computers and Chemical Engineering
ER -