Tutorial on Stochastic Optimization in Energy—Part II: An Energy Storage Illustration
Tutorial on Stochastic Optimization in Energy—Part II: An Energy Storage Illustration
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DOI：
10.1109/tpwrs.2015.2424980
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发表时间：
2016-03
影响因子：
6.6
通讯作者：
Warrren B Powell;Stephan Meisel
中科院分区：
文献类型：
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作者：
Warrren B Powell;Stephan Meisel
在本教程的第一部分，我们提供了一个规范的建模框架，顺序，随机优化（控制）问题。这个框架的一个主要特点是明确分离了问题建模过程和解决问题的策略设计。在第二部分中，我们提供了一些更微妙的概念背后的额外讨论，例如状态变量的构造。我们说明了建模过程中使用的能量存储问题。然后，我们创建了这个问题的五个变化，旨在带出不同的政策的特点。这些问题中的前四个表明，这四类策略中的每一类都最适合特定的问题特征。第五个策略是一个混合策略，它说明了将多个策略类的优势联合收割机结合起来的能力。
In Part I of this tutorial, we provided a canonical modeling framework for sequential, stochastic optimization (control) problems. A major feature of this framework is a clear separation of the process of modeling a problem, versus the design of policies to solve the problem. In Part II, we provide additional discussion behind some of the more subtle concepts such as the construction of a state variable. We illustrate the modeling process using an energy storage problem. We then create five variations of this problem designed to bring out the features of the different policies. The first four of these problems demonstrate that each of the four classes of policies is best for particular problem characteristics. The fifth policy is a hybrid that illustrates the ability to combine the strengths of multiple policy classes.