Danilo S. Sanches
ABSTRACT
This paper presents a new multiobjective discrete differential evolution for service restoration in distribution systems. The proposed approach was compared with other five multiobjective evolutionary algorithms (MOEAs), which use Node-Depth Encoding (NDE). The proposed approach have been evaluated taking into account the switching operations necessary to find adequate restoration plans considering multiple non-linear constraints and objective functions. The MOEAs used in this paper have been employed to solve four different datasets with 3,860, 7,720, 15,440 and 30,880 buses, respectively. Simulations results have shown that proposed approach reached good solutions with low switching operations and reduced running time when compared with others MOEAs.
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- M. M. GOIS, D. S. SANCHES, J. MARTINS, J. B. A. London Jr., and A. Delbem. Multi-objective evolutionary algorithm with node-depth encoding and strength pareto for service restoration in large-scale distribution systems. In 7th International Conference on Evolutionary Multi-Criterion Optimization, Lecture Notes in Computer Science., pages 771--786, 2013.Google Scholar
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- D. S. Sanches, J. B. A. L. Jr., A. C. B. Delbem, R. S. Prado, F. G. Guimarães, O. M. Neto, and T. W. de Lima. Multiobjective evolutionary algorithm with a discrete differential mutation operator developed for service restoration in distribution systems. International Journal of Electrical Power & Energy Systems, 62:700--711, 2014.Google ScholarCross Ref
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Index Terms
- Multiobjective Discrete Differential Evolution for Service Restoration in Energy Distribution Systems
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