Scenario-based approaches for handling uncertainty in MPC for power system frequency control

被引：4
作者：
Ersdal, Anne Mai [1 ,2 ]
Imsland, Lars [2 ]
机构：
[1] UiT Arctic Univ Norway, Dept Engn Sci & Safety IVT, Tromso, Norway
[2] Norwegian Univ Sci & Technol, Dept Engn Cybernet, Trondheim, Norway
来源：
IFAC PAPERSONLINE | 2017年 / 50卷 / 01期
关键词：
Optimal operation and control of power systems; Control system design; MODEL-PREDICTIVE CONTROL; CONSTRAINED LINEAR-SYSTEMS;
D O I：
10.1016/j.ifacol.2017.08.1094
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A 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. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：5529 / 5535
页数：7
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