Reactive Scheduling by a Multiparametric Programming Rolling Horizon Framework: A Case of a Network of Combined Heat and Power Units
Reactive Scheduling by a Multiparametric Programming Rolling Horizon Framework: A Case of a Network of Combined Heat and Power Units
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DOI：
10.1021/ie402393s
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发表时间：
2014-03-19
影响因子：
4.2
通讯作者：
Pistikopoulos, Efstratios N.
中科院分区：
文献类型：
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作者：
Kopanos, Georgios M.;Pistikopoulos, Efstratios N.
在这项工作中，我们介绍了一种方法的反应调度的生产系统有界不确定参数。所提出的方法如下的调度问题的状态空间表示，并依赖于使用滚动时域框架和多参数规划技术。我们表明，通过考虑作为不确定参数的一组变量，描述了系统的状态在预测范围的开始，我们可以有效地制定一组状态空间多参数规划问题，解决了一次和离线。与现有方法相比，避免了在每个破坏性事件之后重复求解新的多参数问题。参数优化的结果被用于滚动时域的基础上，而不需要在线优化。提出的多参数规划滚动时域（mp-RH）方法应用于热电联产机组网络的调度问题（即，单元委托问题类型）。解决了几个案例研究，所提出的方法提供了潜在的扩展，并讨论了具有挑战性的研究是必要的领域。
In this work, we introduce an approach for the reactive scheduling of production systems with bounded uncertain parameters. The proposed method follows a state-space representation for the scheduling problem, and relies on the use of a rolling horizon framework and multiparametric programming techniques. We show that by considering as uncertain parameters the set of variables that describe the state of the system at the beginning of the prediction horizon, we can effectively formulate a set of state-space multiparametric programming problems that are solved just once and off-line. In contrast to existing approaches, the repetitive solution of a new multiparametric problem after each disruptive event is avoided. The results of the parametric optimization are used in a rolling horizon basis without the need for online optimization. The proposed multiparametric programming rolling horizon (mp-RH) approach is applied in the scheduling problem of a network of combined heat and power units (i.e., a unit commitment problem type). Several case studies are solved, potential extensions of the proposed method are provided, and challenging areas wherein research is necessary are discussed.