کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
172123 458520 2016 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An adjustable robust optimization approach to scheduling of continuous industrial processes providing interruptible load
ترجمه فارسی عنوان
رویکرد بهینه سازی قابل تنظیم قابل تنظیم برای برنامه ریزی فرایندهای صنعتی مداوم با ارائه بار انقباضی
کلمات کلیدی
برنامه تولید، پاسخ تقاضا، بار انفرادی، بهینه سازی قابل تنظیم قابل تنظیم، برنامه ریزی خطی مختلط عدد صحیح
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
چکیده انگلیسی


• Consider the provision/selling of interruptible load by power-intensive plants.
• Use detailed discrete-time scheduling formulation to model the production process.
• Characterize uncertainty in load reduction demand by budget uncertainty set.
• Apply adjustable robust optimization approach to account for recourse decisions.
• Practical insights are drawn from a real-world industrial case study.

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Chemical Engineering - Volume 86, 4 March 2016, Pages 106–119
نویسندگان
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