Linear approximated formulation of AC optimal power flow using binary discretisation

This study presents a novel linear approximated methodology for full alternating current-optimal power flow (AC-OPF). The AC-OPF can provide more precise and real picture of full active and reactive power flow modelling, along with the voltage profile of buses compared to the commonly used direct cu...

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Veröffentlicht in:IET generation, transmission & distribution Jg. 10; H. 5; S. 1117 - 1123
Hauptverfasser: Akbari, Tohid, Tavakoli Bina, Mohammad
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 07.04.2016
Schlagworte:
AC optimal power flow
AC‐OPF
Algorithms
Approximation
binary discretisation
Computer programs
Data buses
direct current‐optimal power flow
Electric potential
full alternating current‐optimal power flow
integer programming
linear approximated formulation
linear approximated methodology
linear programming
load flow
Mathematical models
mixed‐integer linear programming
nonlinear programming
nonlinear programming problem
Optimization
Power flow
reactive power flow modelling
voltage profile
direct current-optimal power flow
nonlinear programming
integer programming
linear approximated methodology
AC optimal power flow
linear programming
AC-OPF
linear approximated formulation
nonlinear programming problem
mixed-integer linear programming
full alternating current-optimal power flow
reactive power flow modelling
voltage profile
load flow
binary discretisation
ISSN:1751-8687, 1751-8695
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:This study presents a novel linear approximated methodology for full alternating current-optimal power flow (AC-OPF). The AC-OPF can provide more precise and real picture of full active and reactive power flow modelling, along with the voltage profile of buses compared to the commonly used direct current-optimal power flow. While the AC-OPF is a non-linear programming problem, this can be transformed into a mixed-integer linear programming environment by the proposed model without loss of accuracy. The global optimality of the solution for the approximated model can be guaranteed by existing algorithms and software. The numerical results and simulations which represent the effectiveness and applicability of the proposed model are given and completely discussed in this study.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2015.0388