Efficient linear network model for TEP based on piecewise McCormick relaxation

This study presents a novel scheme for transmission expansion planning (TEP) based on piecewise McCormick relaxation. The model presented considers investment and operation cost and identifies the transmission lines to be built. Since the AC power flow equations are inherently non-convex and non-lin...

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Veröffentlicht in:	IET generation, transmission & distribution Jg. 13; H. 23; S. 5404 - 5412
Hauptverfasser:	Goodarzi, Shahin, Gitizadeh, Mohsen, Reza Abbasi, Ali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 03.12.2019
Schlagworte:	AC power flow equations complex optimisation problem concave programming efficient commercial solvers efficient linear network model integer programming investment linear programming linear‐TEP model load flow mixed‐integer linear programming problem nonconvex AC‐TEP formulation nonlinear AC‐TEP formulation nonlinear model nonlinear programming off‐the‐shelf solvers operation cost optimal global solution piecewise McCormick relaxation power network power system power transmission economics power transmission lines power transmission planning Research Article TEP problem transmission expansion planning transmission lines power transmission lines nonlinear programming integer programming power system nonconvex AC-TEP formulation nonlinear model complex optimisation problem linear programming transmission expansion planning power transmission economics optimal global solution efficient commercial solvers mixed-integer linear programming problem AC power flow equations off-the-shelf solvers TEP problem power transmission planning linear-TEP model concave programming investment nonlinear AC-TEP formulation efficient linear network model transmission lines power network operation cost piecewise McCormick relaxation load flow
ISSN:	1751-8687, 1751-8695
Online-Zugang:	Volltext
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