Hybrid Model Predictive Control Framework for the Thermal Unit Commitment Problem including Start-up and Shutdown Power Trajectories

被引：2
|
作者：
Krishnan, Ashok [1 ]
Eddy, Foo Y. S. [1 ]
Patil, Bhagyesh V. [2 ]
机构：
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
[2] Cambridge Ctr Adv Res & Educ, CREATE Tower,1 Create Way, Singapore 138602, Singapore
来源：
IFAC PAPERSONLINE | 2017年 / 50卷 / 01期
基金：
新加坡国家研究基金会;
关键词：
Thermal unit; Hybrid Model Predictive Control; Mixed Logical Dynamical; start-up power trajectories; Discrete Event and Hybrid Systems; SYSTEM APPROACH; PLANTS;
D O I：
10.1016/j.ifacol.2017.08.1181
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a generalized mixed logical dynamical (MLD) approach for modelling thermal units. A self-scheduling problem is formulated for a thermal unit including an accurate model of its start-up and shutdown power trajectories. This optimal self-scheduling problem is solved in a Model Predictive Control (MPC) framework. The problem formulation considers all the relevant constraints associated with the scheduling of thermal units. The efficacy of the proposed MLD approach is demonstrated through simulation results. These results are extended to a system of 5 units and the optimal scheduling problem is formulated and solved. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：9329 / 9335
页数：7
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