Use of a multi-objective teaching-learning algorithm for reduction of power losses in a power test system

Medina, Miguel A.; Ramirez, Juan M.; Coello, Carlos A.; Das, Swagatam
June 2014
Dyna;Jun2014, Vol. 81 Issue 185, p196
Academic Journal
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.


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