Fast reconfiguration of distribution systems considering loss minimization

By H. P. Schmidt, Nathan Ida, N. Kagan, J. C. Guaraldo. IEEE Transactions on Power Systems, 2005

170 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/feb1644a96a9f077cea02995e729aee94593ac15

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. Rabih A. Jabr
2. Marcos J. Rider
3. Mario V. F. Pereira
4. Carmen L. T. Borges
5. Rafael de Sa Ferreira
6. John F. Franco
7. Rubén R. Romero
8. Ravindra Singh

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. Mario V. F. Pereira
8. Carmen L. T. Borges

Citations in the corpus

• Imposing Radiality Constraints in Distribution System Optimization Problems (2012, methodology): “References [1], [4], [5], and [6] present four different heuristic algorithms to solve the DSR problem.”
• A Flexible Mixed-Integer Linear Programming Approach to the AC Optimal Power Flow in Distribution Systems (2014, methodology): “Common approaches to do that include using metaheuristics such as genetic or evolutionary algorithms [4], [5], or heuristics such as best-first searches [6]–[8].”
• Minimum Loss Network Reconfiguration Using Mixed-Integer Convex Programming (2012, methodology): “use a best-first search coupled with a Newton method to estimate the loss increase at each stage [10].”