Title :
Applications of immune and clonal selection-based techniques to distribution system optimal operational planning
Author :
Carpaneto, Enrico ; Chicco, Gianfranco ; Starda, Marco
Author_Institution :
Dipt. di Ingegneria Elettrica, Politecnico di Torino, Turin
Abstract :
This paper presents a set of results obtained by using immune and clonal selection techniques to enhance the performance of genetic algorithms in solving the optimal operational planning of distribution systems. Various strategies and variants are illustrated and discussed, and the most suitable strategies, able to provide better results with respect to the ones obtained so far for the same problem, are identified. Significant results are presented for a large real urban MV distribution system
Keywords :
genetic algorithms; power distribution planning; distribution system optimal operational planning; genetic algorithms; immune techniques; selection-based techniques; Electronic mail; Evolutionary computation; Genetic algorithms; Genetic mutations; Heuristic algorithms; Investments; Large-scale systems; Reliability; Simulated annealing; Switches; clonal selection; distribution systems; genetic algorithms; heuristic methods; immune algorithms; optimal planning;
Conference_Titel :
Electrotechnical Conference, 2006. MELECON 2006. IEEE Mediterranean
Conference_Location :
Malaga
Print_ISBN :
1-4244-0087-2
DOI :
10.1109/MELCON.2006.1653273
