An efficient simulated annealing algorithm for network reconfiguration in large-scale distribution systems
By Y. Jeon, Jae-Chul Kim, Jin-O. Kim, Joong-Rin Shin, Kwang.Y. Lee. 2002
302 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/2a552e89bfe66f0923d123dce09bc138ab635de5
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
- Hamed Ahmadi
- José Ramon Martí
- João P. S. Catalão
- Nikolaos G. Paterakis
- Debapriya Das
- Gianfranco Chicco
- Ozan Erdinc
- Anastasios G. Bakirtzis
Citations in the corpus
- Reconfiguration of distribution network with DG using fuzzy multi-objective method (2012, unknown): “[12] and Augugliaro et al.”
- Distribution System Optimization Based on a Linear Power-Flow Formulation (2015, unknown): “have also been applied such as simulated annealing [15], ant”
- Linear Current Flow Equations With Application to Distribution Systems Reconfiguration (2015, methodology): “Some good examples of these methods are genetic algorithms [18], plant growth algorithms [19], tabu search algorithms [20], harmony search algorithms [21], evolutionary algorithms [22], artificial neural networks [23], simulated annealing algorithms [24], ant colony algorithms [25], and particle swa”
- Application of binary group search optimization to distribution network reconfiguration (2014, background): “Artificial intelligence (AI) based algorithms, such as simulated annealing (SA) in [10,11], genetic algorithm (GA) in [12], an ant colony search in [13] and particle swarm optimization in [2,14,15] could be listed in third category.”
- A fuzzy multiobjective approach for network reconfiguration of distribution systems (2006, methodology): “[10] have proposed new solution methodologies using the simulated annealing algorithm for the reconfiguration.”
- Path-based distribution network modeling: application to reconfiguration for loss reduction (2005, background): “Finally, a third category comprises those contributions using artificial intelligence, like simulated annealing [15], fuzzy logic [16], genetic algorithms (GAs) [17], or artificial neural networks [18].”
- Multi-objective reconfiguration of radial distribution systems using reliability indices (2016, methodology): “Simulated annealing algorithm was used in the reconfiguration of large-scale distribution systems in [13].”