文章基本信息

标题：Predictive control based on stochastic disturbance trajectories for congestion management in sub-transmission grids
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作者：Nouha Dkhili ; Sorin Olaru ; Alessio Iovine 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：16
页码：302-307
DOI：10.1016/j.ifacol.2022.09.041
语种：English
出版社：Elsevier
摘要：AbstractThe energy transition of power grids is accompanied by a slew of new challenges arising at the design, deployment and operation levels. From the control viewpoint, the integration of renewable-energy-based power generation sources into the power grid translates into emerging uncertainties which compromise the system's stability and performance. In this paper, the main goal is to propose a model-based predictive controller that incorporates the stochastic nature of these sources into its decision-making, in order to balance upholding operational constraints with smart power generation curtailment and energy storage strategies.
关键词：KeywordsSmart energy gridscongestion managementpower systemsmodel-based predictive controldata-based controlrelaxationconvex optimisationrobustness