Approximated MILP model for AC transmission expansion planning: global solutions versus local solutions

This study presents a novel linear approximated methodology for AC-transmission expansion planning (AC-TEP). The AC-TEP can provide more precise picture of active and reactive power flow, along with the voltage profile of buses compared with DC-transmission expansion planning. While the AC-TEP is in...

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Veröffentlicht in:IET generation, transmission & distribution Jg. 10; H. 7; S. 1563 - 1569
Hauptverfasser: Akbari, Tohid, Tavakoli Bina, Mohammad
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 05.05.2016
Schlagworte:
AC transmission expansion planning
AC‐TEP
approximated MILP model
Approximation
binary expansion theory
Data buses
DC‐transmission expansion planning
Electric potential
integer programming
linear approximated methodology
load flow
Mathematical models
mixed‐integer nonlinear programming problem
nonlinear programming
Optimization
power transmission planning
Programming
Reactive power
reactive power flow
Voltage
voltage profile
binary expansion theory
approximated MILP model
AC transmission expansion planning
reactive power flow
integer programming
nonlinear programming
AC-TEP
linear approximated methodology
mixed-integer nonlinear programming problem
power transmission planning
voltage profile
load flow
DC-transmission expansion planning
ISSN:1751-8687, 1751-8695
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Zusammenfassung:This study presents a novel linear approximated methodology for AC-transmission expansion planning (AC-TEP). The AC-TEP can provide more precise picture of active and reactive power flow, along with the voltage profile of buses compared with DC-transmission expansion planning. While the AC-TEP is inherently a mixed-integer non-linear programming problem, this can be transformed into a mixed-integer linear programming framework by the proposed model which is based upon the binary expansion theory. The global optimality of the solution for the approximated model can be guaranteed by existing algorithms. The presented mathematical model has been successfully applied to several power systems and the results are compared with the exact AC-TEP model. Simulation results are promising and show that the proposed method is effective, reliable and accurate.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2015.0723