文章基本信息

标题：Scenario-based approaches for handling uncertainty in MPC for power system frequency control * * The financial support from the Research Council of Norway project 207690 ”‘Optimal Power Network Design and Operation”’ is gratefully acknowledged.
本地全文：下载
作者：Anne Mai Ersdal ; Lars Imsland
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：5529-5535
DOI：10.1016/j.ifacol.2017.08.1094
语种：English
出版社：Elsevier
摘要：AbstractA stochastic nonlinear model predictive controller (SNMPC) is designed for automatic generator control of a proxy of the Nordic power system, and it is compared with a multi-stage nonlinear model predictive controller (MNMPC). Both controllers are scenario based, but originate in two different disturbance modeling paradigms; stochastic and deterministic. A simulation study indicates that the two controllers behave similarly. The MNMPC is however less exposed to infeasibility issues, and it also has better tractability than the SNMPC. On the other hand, the SNMPC gives probabilistic guarantees for constraint fulfillment; a feature whose practical implications are debatable.
关键词：KeywordsOptimal operationcontrol of power systemsControl system design