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An empirical study of moving horizon closed-loop demand response scheduling
Journal of Process Control ( IF 3.3 ) Pub Date : 2020-08-01 , DOI: 10.1016/j.jprocont.2020.05.011
Morgan T. Kelley , Ross Baldick , Michael Baldea

Abstract The potential of electricity-intensive chemical plants to engage in demand response (DR) initiatives in support of power grid operations has been the subject of many conceptual studies. In this work, using an industrially-relevant model of an air separation unit, we undertake an extensive simulation study of moving horizon (MH) scheduling approaches, where we “close the scheduling loop” based on updated information regarding disturbances such as changes in electricity prices, ambient conditions and chemical product demand. Our study produces several unexpected findings regarding the non-periodic nature of rescheduling solutions, the impact of the accuracy of disturbance forecasts on the economics of DR scheduling, and the interplay of simultaneously dealing with fluctuations on both the supply side (i.e., electricity prices) and the product demand side of the plant. We posit that the latter fluctuations pose significant limitations to the potential of a chemical plant to engage in DR.

中文翻译:

移动视界闭环需求响应调度的实证研究

摘要 电力密集型化工厂参与需求响应 (DR) 计划以支持电网运营的潜力已成为许多概念研究的主题。在这项工作中,我们使用空气分离装置的工业相关模型,对移动水平 (MH) 调度方法进行了广泛的模拟研究,我们根据有关干扰(例如电力变化)的更新信息“关闭调度循环”价格、环境条件和化工产品需求。我们的研究产生了几个关于重新调度解决方案的非周期性性质、干扰预测准确性对 DR 调度经济性的影响以及同时处理供应方波动的相互作用的一些意外发现(即,电价)和工厂的产品需求侧。我们假设后者的波动对化工厂从事 DR 的潜力构成了重大限制。
更新日期:2020-08-01
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