Power systems optimization under uncertainty: A review of methods and applications
Power systems optimization under uncertainty: A review of methods and applications
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DOI：
10.1016/j.epsr.2022.108725
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发表时间：
2023-01
影响因子：
3.9
通讯作者：
Line A. Roald;David Pozo;A. Papavasiliou;D. Molzahn;J. Kazempour;A. Conejo
中科院分区：
文献类型：
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作者：
Line A. Roald;David Pozo;A. Papavasiliou;D. Molzahn;J. Kazempour;A. Conejo
由于可再生能源发电、市场自由化和气候变化等因素，电力系统以及与之互动的公司和客户正在经历越来越多的不确定性。这就提出了一个重要的问题，即如何在不确定性下做出最优决策。本文的目的是提供一个概述现有的方法建模和优化受不确定性影响的问题，有针对性的研究人员熟悉电力系统和优化。我们还回顾了电力系统中不确定性优化的一些重要应用，并展望了未来的研究方向。
Electric power systems and the companies and customers that interact with them are experiencing increasing levels of uncertainty due to factors such as renewable energy generation, market liberalization, and climate change. This raises the important question of how to make optimal decisions under uncertainty. This paper aims to provide an overview of existing methods for modeling and optimization of problems affected by uncertainty, targeted at researchers with a familiarity with power systems and optimization. We also review some important applications of optimization under uncertainty in power systems and provide an outlook to future directions of research.