energies-11-01497.pdf (575.07 kB)
Preventive security-constrained DCOPF formulation using power transmission distribution factors and line outage distribution factors
journal contribution
posted on 2018-08-15, 08:03 authored by Victor H. Hinojosa, Francisco Gonzalez-LongattFrancisco Gonzalez-LongattThis 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
EnergiesVolume
11Issue
6Citation
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 authorsVersion
- 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
2018-06-06Publication date
2018Notes
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
1996-1073Publisher version
Language
- en