| dc.contributor.author | Manteaw, D.E | |
| dc.contributor.author | Abungu, Nicodemus | |
| dc.date.accessioned | 2013-04-04T09:46:52Z | |
| dc.date.available | 2013-04-04T09:46:52Z | |
| dc.date.issued | 2012 | |
| dc.identifier.citation | International Journal of Scientific and Research Publications , Volume 2, Issue 1 2 , December 2012 | en |
| dc.identifier.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/15314 | |
| dc.description.abstract | The problem of power system optimization has become
a deciding factor in current power system engineering practice
with emphasis on cost and emission reduction. The economic and
emission dispatch problem has been addressed in this paper using
two efficient optimization methods, Artificial Bee Colony (ABC)
and Particle Swarm Optimization (PSO). A hybrid produced
from these two algorithms is used on the 30
bus 6 generator
IEEE test system. The results are compared with ABC, Fuzzy
Controlled Genetic Algorithm (FCGA) and Non Sorting Genetic
Algorithm (NSGAII) and found to be effective on the combined
economic and emission dispatch problem | en |
| dc.language.iso | en | en |
| dc.title | Multi-objective environmental/economic dispatch solution using hybrid ABC_PSO algorithm | en |
| dc.type | Article | en |
