Distributed MPC Strategies With Application to Power System Automatic Generation Control

被引：562

作者：

Venkat, Aswin N. ^{[1
]}

Hiskens, Ian A. ^{[2
]}

Rawlings, James B. ^{[3
]}

Wright, Stephen J. ^{[4
]}

机构：

[1] Univ Wisconsin, Dept Biol & Chem Engn, Madison, WI 53706 USA

[2] Univ Wisconsin, Fac Elect & Comp Engn, Madison, WI 53706 USA

[3] Univ Wisconsin, Fac Chem & Biol Engn, Madison, WI 53706 USA

[4] Univ Wisconsin, Fac Comp Sci, Madison, WI 53706 USA

来源：

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY | 2008年 / 16卷 / 06期

基金：

美国国家科学基金会;

关键词：

Automatic generation control; distributed model predictive control; power system control;

D O I：

10.1109/TCST.2008.919414

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 distributed model predictive control (MPC) framework, suitable for controlling large-scale networked systems such as power systems, is presented. The overall system is decomposed into subsystems, each with its own MPC controller. These subsystem-based MPCs work iteratively and cooperatively towards satisfying systemwide control objectives. If available computational time allows convergence, the proposed distributed MPC framework achieves performance equivalent to centralized MPC. Furthermore, the distributed MPC algorithm is feasible and closed-loop stable under intermediate termination. Automatic generation control (AGC) provides a practical example for illustrating the efficacy of the proposed distributed MPC framework.

引用

页码：1192 / 1206

页数：15

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