论文标题
对电力系统分析方案聚合方法的最新进展的综述
A review on recent advances in scenario aggregation methods for power system analysis
论文作者
论文摘要
全球对零温室排放的承诺已加快了对可再生能源资源的投资。由于需要考虑与可再生生成相关的不确定性，因此对操作和计划电源系统的要求变得严格。考虑了电源系统操作和计划中固有的不确定性的几个建模框架已进行了广泛的研究。由于其直观表示，随机优化是这些框架中最流行的方法，尤其是当使用离散概率的场景配制以表示随机变量时。尽管需要许多代表所有可能的不确定操作条件的场景来准确评估随机操作和计划模型，但场景集的大小会影响计算复杂性，在不确定性细节表示和计算障碍性之间做出了重大的权衡。 在过去的十年中，大量研究集中于开发新的方案聚合方法，以得出减少的场景集，这些方案集显示出类似于原始场景集的属性，同时减少了计算负担。这篇综述提供了与方案聚合方法有关解决电源系统优化问题的最新，全面的分类和分析。首先，我们提出了一个通用框架和聚合方法。然后，描述了与时间和空间场景聚集有关的主要研究，然后对主要出版物，作者和应用程序问题进行了文献计量分析。最后，我们提供了数值分析，并讨论了传输扩展计划问题的16种聚合方法。最后，讨论了建议，机会和结论。
Worldwide commitments to net zero greenhouse emissions have accelerated investments in renewable energy resources. The requirements for operating and planning power systems are becoming stringent because of the need to take into account the uncertainty associated with renewable generation. Several modeling frameworks that consider the inherent uncertainty in the operation and planning of the power system have been extensively studied. Stochastic optimization has been the most popular approach among these frameworks due to its intuitive representation, especially when formulated using discrete probabilistic scenarios to represent the random variables. Although many scenarios representing all possible uncertain operating conditions would be needed to accurate evaluate stochastic operation and planning models, the size of the scenario set impacts computational complexity, posing a significant tradeoff between uncertainty detail representation and computational tractability. During the last decade, a large body of research has focused on developing new scenario aggregation methods to derive reduced scenario sets that show properties similar to the original scenario set while decreasing computational burden. This review provides an up-to-date, comprehensive classification and analysis of the literature related to scenario aggregation methods for addressing power system optimization problems. First, we present a general framework and the aggregation methodologies. Then, the main studies related to temporal and spatial scenario aggregation are described, followed by a bibliometric analysis of the main publication sources, authors, and application problems. Finally, we provide a numerical analysis and discuss 16 aggregation methods for the transmission expansion planning problem. Finally, recommendations, opportunities, and conclusions are discussed.
