Alawode Kehinde O. and Jubril Abimbola M. Komolafe Olusola A.
Multiobjective Optimal Power Flow Using Hybrid Evolutionary Algorithm
591 - 596
2010
4
3
International Journal of Electrical and Computer Engineering
https://publications.waset.org/pdf/2018
https://publications.waset.org/vol/39
World Academy of Science, Engineering and Technology
This paper solves the environmental economic dispatch
power system problem using the Nondominated Sorting Genetic
AlgorithmII (NSGAII) and its hybrid with a Convergence Accelerator
Operator (CAO), called the NSGAIICAO. These multiobjective
evolutionary algorithms were applied to the standard IEEE 30bus
sixgenerator test system. Several optimization runs were carried out
on different cases of problem complexity. Different quality measure
which compare the performance of the two solution techniques were
considered. The results demonstrated that the inclusion of the CAO
in the original NSGAII improves its convergence while preserving
the diversity properties of the solution set.
Open Science Index 39, 2010