A comparison of distributed MPC schemes on a hydro-power plant benchmark

被引：28

作者：

Maestre, J. M. ^{[1
]}

Ridao, M. A. ^{[1
]}

Kozma, A. ^{[2
]}

Savorgnan, C. ^{[2
]}

Diehl, M. ^{[2
,3
]}

Doan, M. D. ^{[4
]}

Sadowska, A. ^{[5
]}

Keviczky, T. ^{[5
]}

De Schutter, B. ^{[5
]}

Scheu, H. ^{[6
]}

Marquardt, W. ^{[6
]}

Valencia, F. ^{[7
]}

Espinosa, J. ^{[8
]}

机构：

[1] Univ Seville, Dept Syst & Automat Engn, Seville 41092, Spain

[2] Katholieke Univ Leuven, Leuven, Belgium

[3] Univ Freiburg, D-79106 Freiburg, Germany

[4] Cantho Univ Technol, Can Tho, Vietnam

[5] Delft Univ Technol, Delft Ctr Syst & Control, Delft, Netherlands

[6] Rhein Westfal TH Aachen, AVT Proc Syst Engn, Aachen, Germany

[7] Solar Energy Res Ctr, Santiago, Chile

[8] Univ Nacl Colombia, Medellin, Colombia

来源：

OPTIMAL CONTROL APPLICATIONS & METHODS | 2015年 / 36卷 / 03期

关键词：

distributed model predictive control; multi agent systems; hydro-power generation; MODEL-PREDICTIVE CONTROL; OPTIMIZATION;

D O I：

10.1002/oca.2154

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we analyze and compare five distributed model predictive control (DMPC) schemes using a hydro-power plant benchmark. Besides being one of the most important sources of renewable power, hydro-power plants present very interesting control challenges. The operation of a hydro-power valley involves the coordination of several subsystems over a large geographical area in order to produce the demanded energy while satisfying constraints on water levels and flows. In particular, we test the different DMPC algorithms using a 24-h power tracking scenario in which the hydro-power plant is simulated with an accurate nonlinear model. In this way, it is possible to provide qualitative and quantitative comparisons between different DMPC schemes implemented on a common benchmark, which is a type of assessment rare in the literature. Copyright (c) 2014 John Wiley & Sons, Ltd.

引用

页码：306 / 332

页数：27

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