A solution to the optimal power flow using simulated annealing

By C. Roa-Sepulveda, B. Pavez-Lazo. 2001 IEEE Porto Power Tech Proceedings (Cat. No.01EX502), 2001

314 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/fc9f7498cdf385178c4f78ea6fa9075a0945756b

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

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

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

• Optimal power flow: a bibliographic survey II (2012, methodology): “Roa-Sepulveda and Pavez-Lazo [138] also used SA techniques to solve an economic dispatch problem where the transmission constraints are modeled in polar form.”
• 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].”
• Modified differential evolution algorithm for optimal power flow with non-smooth cost functions (2008, background): “It should be noted also that the optimal solution given in Roa-Sepulveda [9] was subject to a power mismatch tolerance of 0.01 p.u. that we judge insufficient.”