Optimal power flow using differential evolution algorithm
By A. A. Abou El Ela, Mohammad Ali Abido, S. R. Spea. 2009
498 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/fc99b9161d0fd5ff07327a1a312e657a4c1f2dbd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Serhat Duman
- Stephen M. Frank
- Steffen Rebennack
- Ugur Güvenc
- Ingrida Steponavice
- Yusuf Sönmez
- N. Yorukeren
In Electrical and Electronic Engineering
- Steffen Rebennack
- Stephen M. Frank
- Ingrida Steponavice
- Serhat Duman
- Ugur Güvenc
- Yusuf Sönmez
- N. Yorukeren
- Steven H. Low
Citations in the corpus
- Optimal power flow using gravitational search algorithm (2012, background): “Voltage stability can be defined via minimizing the voltage stability indicator L-index values of each bus of a power system [1,34].”
- Optimal power flow: a bibliographic survey II (2012, methodology): “[6, 7] applied a DE-based approach for an OPF problem with soft constraints.”
- Optimal power flow with emission and non-smooth cost functions using backtracking search optimization algorithm (2016, background): “Therefore, enhancing voltage stability can be achieved through the minimization of Lmax of the whole system [28].”