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| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad Nacional de Colombia
2014
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| Online Access: | https://www.redalyc.org/articulo.oa?id=49631031029 |
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Table of Contents:
- Use of a multi-objective teaching-learning algorithm for reduction of power losses in a power test system Miguel A. Medina Juan M. Ramirez Carlos A. Coello Swagatam Das Ingeniería D) Multi objective Teaching learning algorithm Optimal reactive power dispatch This paper presents a multi-objective teaching learning algorithm based on decomposition for solving the optimal reactive power dispatch problem (ORPD). The effectiveness and performance of the proposed algorithm are compared with respect to a multi-objective evolutionary algorithm based on decomposition (MOEA/D) and the NSGA-II. A benchmark power system model is used to test the algorithms’ performance. The results of the power losses reduction as well as the performance metrics indicate that the proposed algorithm is a reliable choice for solving the problem. 2014 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49631031029 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.185 Vol.81