Optimal Power Flow Using Tabu Search Algorithm

By K. Fahd, Saudi Arabia. 2002

432 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a06a6243910e176a50aace6d86fa1e50ce297358

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Steffen Rebennack
2. Stephen M. Frank
3. Ingrida Steponavice
4. Serhat Duman
5. Ugur Güvenc
6. Khaled Zehar
7. Samir Sayah
8. Yusuf Sönmez

Citations in the corpus

• Modified differential evolution algorithm for optimal power flow with non-smooth cost functions (2008, background): “On the other hand, the best fuel costs of EP and TS reported in Yuryevich and Wong [5] and Abido [7] are less expensive than that found by MDE–OPF.”
• Optimal power flow using gravitational search algorithm (2012, methodology): “Some of the population-based methods have been proposed for solving the OPF problem successfully, such that genetic algorithm [13], improved genetic algorithm [14], tabu search [4], particle swarm [15], differential evolution algorithm [16], simulated annealing [17], evolutionary programming [18].”
• Optimal power flow: a bibliographic survey II (2012, methodology): “Abido [3] presented an efficient and reliable TS-based approach to set the optimal control variables of the general OPF problem, examining various objective functions and constraints.”