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  4. Toward economic NMPC for multistage AC optimal power flow
 
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Toward economic NMPC for multistage AC optimal power flow

Publikationstyp
Journal Article
Date Issued
2019-02-22
Sprache
English
Author(s)
Faulwasser, Timm  
Engelmann, Alexander
TORE-URI
https://hdl.handle.net/11420/45687
Journal
Optimal control, applications & methods  
Volume
41
Issue
1
Start Page
107
End Page
127
Citation
Optimal Control Applications and Methods 41 (1): 107-1027 (2019-02-22)
Publisher DOI
10.1002/oca.2487
Scopus ID
2-s2.0-85061989539
Publisher
Wiley
Recently, there has been a considerable progress on the analysis of stability and performance properties of so-called economic nonlinear model predictive control (nmpc) schemes, ie, schemes employing stage costs that are not directly related to distance measures of precomputed setpoints. At the same time, with respect to the energy transition, the use of nmpc schemes is proposed and investigated in a plethora of papers in different contexts. For example, receding-horizon approaches to generator dispatch problems, which is also known as multistage optimal power flow (opf) in power systems, naturally lead to economic nmpc schemes based on nonconvex discrete-time optimal control problems (ocp). This paper investigates the transfer of analysis results available for general economic nmpc schemes to receding-horizon multistage opf. We propose a blueprint formulation of multistage opf including ac power flow equations. Based on this formulation, we present results on the dissipativity and recursive feasibility properties of the underlying ocp. Finally, we draw upon simulations using a 5-bus system and a 118-bus system to illustrate our findings.
Subjects
dissipativity
dynamic optimal power flow
economic generator dispatch
model predictive control
power systems
DDC Class
530: Physics
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