Applications of immune and clonal selection-based techniques to distribution system optimal operational planning

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.