HABC : hybridizing artificial bee colony with β-hill climbing optimizer for solving non-convex economic load dispatch problem

Abstract EN

In power systems, economic load dispatch (ELD) problem is tackled by rescheduling the power outcomes of the generation units to minimized the fuel cost consumption.

ELD is formulated as an optimization problem which is tackled by several optimization methods.

In this paper, ELD is tackled by a hybrid artificial bee colony (HABC).

Artificial bee colony, an efficient optimization method, has a chronic shortcoming in improvisation equation of employed and onlooker bees operators.

In HABC, the onlooker bee operator is replaced by the β-hill climbing optimizer as new operator to empower its exploitation capability.

HABC is evaluated using two different ELD problems with thirteen generating units, and one problem with forty generating units.

The effect of the different parameter settings on the behavior of HABC is tested using nine experimental scenarios.

The experimental results demonstrate that HABC is able to achieve the second best results for the three ELD problems.