Distribution feeder reconfiguration with refined genetic algorithm

By Whei-Min Lin, F. Cheng, M. Tsay. 2000

155 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/f9060afc602c7f22c61febfa4c4fc3f17309666b

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. Antonio Padilha-Feltrin
2. Khaleequr Rehman Niazi
3. Rubén R. Romero
4. Anil Swarnkar
5. Nikhil Gupta

In Electrical and Electronic Engineering

1. Antonio Padilha-Feltrin
2. Khaleequr Rehman Niazi
3. Rubén R. Romero
4. Anil Swarnkar
5. Nikhil Gupta
6. Rabih A. Jabr
7. Marcos J. Rider
8. Mohsen Rahmani

Citations in the corpus

• An Efficient Codification to Solve Distribution Network Reconfiguration for Loss Reduction Problem (2008, background): “In [11] the authors mention that the average number of iterations to find the optimal solution is 6.”
• Reconfiguration of Distribution Systems for Real Power Loss Minimization Using Adaptive Particle Swarm Optimization (2011, background): “[9] and Zhu [10] proposed refined GAs for feeder reconfiguration.”