Risk-based integrated production scheduling and electricity procurement for continuous power-intensive processes
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- 作者：Qi Zhanga ; Jochen L. Cremerb ; Ignacio E. Grossmanna ; grossmann@cmu.edu" class="auth_mail" title="E-mail the corresponding author ; Arul Sundaramoorthyc ; Jose M. Pintod
- 关键词：Production scheduling ; Electricity procurement ; Demand response ; Stochastic programming ; Conditional value-at-risk
- 刊名：Computers & Chemical Engineering
- 出版年：2016
- 出版时间：4 March 2016
- 年：2016
- 卷：86
- 期：Complete
- 页码：90-105
- 全文大小：3935 K
文摘
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Simultaneously optimize production scheduling and electricity procurement.
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Propose MILP stochastic programming model incorporating conditional value-at-risk.
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Apply scenario reduction and multicut Benders decomposition to large problems.
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Apply proposed model to illustrative and real-world industrial air separation cases.
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Show differences between deterministic, risk-neutral, and risk-averse optimization.