Open Access

ARTICLE

Parallel computing for reducing time in security constrained optimal power flow analysis

David Alvarez¹, Diego Rodriguez², Sergio Rivera¹

1 Universidad Nacional de Colombia
2 GERS and Universidad Nacional de Colombia

* Corresponding Authors: David Alvarez (), Diego Rodriguez (), Sergio Rivera ()

Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería 2023, 39(1), 1-5. https://doi.org/10.23967/j.rimni.2023.01.004

Accepted 30 January 2023; Issue published 31 January 2023

Abstract

This paper presents a novel approach for solving the security-constrained optimal power flow (SCOPF) optimization problem using parallel Computing. In this approach, switched shunt capacitors, generation power ramp, and demand response are considered in the SCOPF by maximizing the market surplus during regular operation and for a set of contingencies of branches and generators. The optimization problem is solved using the Nonlinear Interior Point Method. The contingency assessment is paralleled in multiple CPU cores to decrease the computation time. Additionally, the test systems used in ARPA-GO competition were used and compared with the ARPA benchmark results to assess the proposed algorithm. The numerical results show this method is suitable for fast SCOPF using paralleling Computing.

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Keywords

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