Technical Papers
Feb 7, 2018

Transmission Expansion Planning with Linearized AC Load Flow by Special Ordered Set Method

Publication: Journal of Energy Engineering
Volume 144, Issue 2

Abstract

This paper presents a model for a transmission expansion planning (TEP) problem in which both active and reactive power as well as voltage magnitude of buses are considered through linearized alternating current (AC) load-flow constraints. The proposed approach uses the special ordered set of Type 2 (SOS2) to obtain the optimal global solution of the approximated linear model of TEP, which is indeed a mixed-integer linear programming (MILP) problem. This linear binary model can be effectively solved by existing off-the-shelf solvers using the branch and bound algorithm. The solution obtained is guaranteed to be globally optimal, whereas most mixed-integer nonlinear programming (MINLP) solvers could not guarantee an obtainable global optimal solution for nonconvex problems. The accuracy level of the solutions for the approximated linearized model can be easily controlled by adjusting specific parameters to suitable values. Results obtained through a simulation study show the effectiveness and applicability of the linear model presented. As numerous simulation studies show, the proposed methodology is reliable and robust.

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Go to Journal of Energy Engineering
Journal of Energy Engineering
Volume 144Issue 2April 2018

History

Received: Mar 30, 2017
Accepted: Sep 20, 2017
Published online: Feb 7, 2018
Published in print: Apr 1, 2018
Discussion open until: Jul 7, 2018

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Authors

Affiliations

Abolfazl Arabpour [email protected]
Ph.D. Student, Dept. of Electrical and Electronic Engineering, Shahed Univ., 3319118651 Tehran, Iran. E-mail: [email protected]
Mohammad Reza Besmi, Ph.D. [email protected]
Associate Professor, Dept. of Electrical and Electronic Engineering, Shahed Univ., 3319118651 Tehran, Iran (corresponding author). E-mail: [email protected]
Pouria Maghouli, Ph.D. [email protected]
Associate Professor, Dept. of Electrical and Electronic Engineering, Shahed Univ., 3319118651 Tehran, Iran. E-mail: [email protected]

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