energies-11-01497.pdf (575.07 kB)
0/0

Preventive security-constrained DCOPF formulation using power transmission distribution factors and line outage distribution factors

Download (575.07 kB)
journal contribution
posted on 15.08.2018 by Victor H. Hinojosa, Francisco Gonzalez-Longatt
This study proposes a very effective formulation to carry out the security-constrained direct current (DC)-based optimal power flow (OPF) problem using two linear factors: (i) the power transmission distribution factors (PTDF) and (ii) the line outage distribution factors (LODF). The security-constrained (SC) DCOPF problem has been reformulated using these linear distribution factors, and mainly the pre- and post-contingency constraints have been added into the optimization problem based on the active power unit generation (decision variables). The main advantage of this formulation is the reduction of decision variables as well as equality and inequality constraints. To validate the introduced formulation, several experiments have been conducted using MatPower, DIgSILENT Power Factory and Gurobi. Simulation results demonstrate both the feasibility to carry out the SCOPF problem and the potential applicability of the proposed formulation to medium and large-scale power systems.

Funding

This work was supported by the Chilean National Commission for Scientific and Technological Research (CONICYT) under grant Basal FB0008.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Energies

Volume

11

Issue

6

Citation

HINOJOSA, V.H. and GONZALEZ-LONGATT, F.M., 2018. Preventive security-constrained DCOPF formulation using power transmission distribution factors and line outage distribution factors. Energies, 11 (6), 1497.

Publisher

MDPI © The authors

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/

Acceptance date

06/06/2018

Publication date

2018

Notes

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

eISSN

1996-1073

Language

en

Licence

Exports