Solving the Optimal Reactive Power Dispatch Problem through a Python-DIgSILENT Interface

Autor: Martin M. Sánchez-Mora, David Lionel Bernal-Romero, Oscar Danilo Montoya, Walter M. Villa-Acevedo, Jesús M. López-Lezama

Publikováno v: Computation, Vol 10, Iss 8, p 128 (2022)

The Optimal Reactive Power Dispatch (ORPD) problem consists of finding the optimal settings of reactive power resources within a network, usually with the aim of minimizing active power losses. The ORPD is a nonlinear and nonconvex optimization probl

Externí odkaz: https://doaj.org/article/41273a6025cc421fbd204d977ec40c5a

Solution of the Optimal Reactive Power Flow Problem Using a Discrete-Continuous CBGA Implemented in the DigSILENT Programming Language

Autor: Oscar Danilo Montoya, Andrés Arias-Londoño, David Lionel Bernal-Romero

Publikováno v: Computers-vol. 10 n° 11 (2021)
Repositorio Institucional UTB
Universidad Tecnológica de Bolívar
instacron:Universidad Tecnológica de Bolívar
Computers; Volume 10; Issue 11; Pages: 151
Computers, Vol 10, Iss 151, p 151 (2021)

The problem of the optimal reactive power flow in transmission systems is addressed in this research from the point of view of combinatorial optimization. A discrete-continuous version of the Chu & Beasley genetic algorithm (CBGA) is proposed to mode

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbbc68fdfe3c34cec8b72a2248a87720

Solution of the Optimal Reactive Power Flow Problem Using a Discrete-Continuous CBGA Implemented in the DigSILENT Programming Language.

Autor: Bernal-Romero, David Lionel, Montoya, Oscar Danilo, Arias-Londoño, Andres

Publikováno v: Computers (2073-431X); Nov2021, Vol. 10 Issue 11, p151, 1p