Reconfiguration of Radial Distribution Systems with Variable Demands Using the Clonal Selection Algorithm and the Specialized Genetoic Algorithm of Chu-Beasley

• Type: Article in International Scientific Journal
• Date: 2016-12

Authors

Simone S. F. Souza (Author) Other; João T. Saraiva (Author) FEUP; Ruben Romero (Author) Other; Jorge Pereira (Author) FEP

Journal

Title: Journal of Control, Automation and Electrical Systems

Vol. 27 No. 6

Pages: 689-701

ISSN: 2195-3880

Publisher: Springer Nature

Indexing

ISI Web of Knowledge

Scopus

INSPEC

Scientific classification

CORDIS: Technological sciences > Engineering > Electrical engineering

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

Other information

DOI: 10.1007/s40313-016-0268-9

Abstract (EN): This paper presents two new approaches to solve the reconfiguration problem of electrical distribution systems (EDSs) with variable demands, using the CLONALG and the SGACB algorithms. The CLONALG is a combinatorial optimization technique inspired by biological immune systems, which aims at reproducing the main properties and functions of the system. The SGACB is an optimization algorithm inspired by natural selection and the evolution of species. The reconfiguration problem with variable demands is a complex combinatorial problem that aims at identifying the best radial topology for an EDS, while satisfying all technical constraints at every demand level and minimizing the cost of energy losses in a given operation period. Both algorithms were implemented in C++ and test systems with 33, 84, and 136 nodes, as well as a real system with 417 nodes, in order to validate the proposed methods. The obtained results were compared with results available in the literature in order to verify the efficiency of the proposed approaches.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13