An Efficient Codification to Solve Distribution Network Reconfiguration for Loss Reduction Problem

By E. Carreno, Rubén R. Romero, Antonio Padilha-Feltrin. IEEE Transactions on Power Systems, 2008

246 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/c3af3a961050ecf40fcccdd42d0369311ec31501

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. Rabih A. Jabr
2. Marcos J. Rider
3. Rubén R. Romero
4. John F. Franco
5. Ravindra Singh
6. Bikash Chandra Pal
7. Marina Lavorato
8. Andreas Sumper

Citations in the corpus

• Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA-II (2013, background): “On the other hand, some authors have developed methods based on evolutionary computation techniques [6,14,16,18,19,24,26,29,30].”
• Imposing Radiality Constraints in Distribution System Optimization Problems (2012, methodology): “The authors of [8] used an evolutionary algorithm; [9] and [10] used two specialized genetic algorithms.”
• Minimum Loss Network Reconfiguration Using Mixed-Integer Convex Programming (2012, methodology): “Some of the promising meta-heuristic or artificial intelligence techniques include simulated annealing [12], [13], genetic algorithms [14], [15], ant colony optimization [16], mixed-integer [17] and variable scaling [18] hybrid differential evolution, and harmony search [19].”