文章基本信息

标题：Advanced management of network overload in areas with Renewable Energies Sources
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作者：Thanh-Hung Pham ; Alessio Iovine ; Sorin Olaru 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：9
页码：81-86
DOI：10.1016/j.ifacol.2022.07.015
语种：English
出版社：Elsevier
摘要：AbstractThis paper proposes an overload management method based on Model Predictive Control principles for electrical power network zones with Renewable Energies Sources (RESs). The danger of sudden line disconnection represents a critical aspect of the operation and the overload can only be tolerated within drastic duration and repetitiveness constraints. The first contribution resides in the employment of temporal and logical variables as a part of the system states to formulate supplementary bounds for the linepower flow limits during the overload tolerance. For the second contribution, the control problem is shown to be independent from the exogenous overload trigger thanks to the feedback of these variables as the controller parameters. Then, according to considered assumptions, a sequence of predicted maximal supplementary bounds is used for the control design. With respect to classical additional temporal variables, these bounds simplify the control design problem. The proposed method is validated through simulations on an industrial case study.
关键词：KeywordsPower transmission networkconstrained model predictive controlmixed logical dynamical modelling