Distribution System Reconfiguration with variable demands using the Clonal selection Algorithm

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Simone Silva Frutuoso de Souza (Author) Other; Ruben Romero (Author) Other; Jorge Manuel Correia Pereira (Author) FEP; João Paulo Tomé Saraiva (Author) FEUP

Conference proceedings International

Title: 2015 18th International Conference on Intelligent System Application to Power Systems (ISAP)

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 4 Citations

INSPEC

Scientific classification

CORDIS: Technological sciences > Engineering > Electrical engineering

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Associated Projects

DOPF-Efacec - Trânsito de potências óptimo para redes de distribuição com reconfiguração

Other information

Authenticus ID: P-00K-4KA

DOI: 10.1109/isap.2015.7325547

Abstract (EN): This paper describes the application of the clonal selection algorithm to the reconfiguration problem of distribution networks considering non-uniform demand levels. The Clonal Algorithm, CLONALG, is a combinatorial optimization technique inspired in the immunologic bio system and it aims at reproducing the main properties and functions of this system. The reconfiguration problem of distribution networks with non-uniform demand levels is a complex problem that aims at identifying the most adequate radial topology of the network that complies with all technical constraints in every demand level while minimizing the cost of active losses along an extended operation period. This work includes results of the application of the Clonal algorithm to distribution systems with 33, 84 and 136 buses. These results demonstrate the robustness and efficiency of the proposed approach.

Language: English

Type (Professor's evaluation): Scientific