Improved Bacterial Foraging Algorithm for Optimum Economic Emission Dispatch with Wind Power
Abstract: In this paper, an
improved bacterial foraging algorithm (IBFA) is employed to solve
economic-emission dispatch (EED) problem. Regarding to more interest to
renewable energy sources especially wind energy in recent years, it is
necessary to use of incorporate wind power plants into EED problem. To consider
realistic conditions, EED is included bi-objective of cost and NOx emission.
The problems encountered with BFA are ineffective bacteria elimination resulted
in poor performance. To overcome this, a modified BFA is proposed in
reproduction step termed as Improved Baterial Foraging Algorithm (IBFA). EED is
solved, with wind power plant and without it, subjected to couple of
constraintsusing BFA an BFA in a comparative manner.Simulation results show
enhancement in convergence accuracy with IBFA rather than conventional BFA.
Keywords: bacterial foraging
algorithm, economic-emission dispatch, multiobjective problem, paretooptimal
front, wind power
Author: Sajjad Farajianpour,
Ali Mohammadi, Saeed Tavakoli, S. Masoud Barakati
Journal Code: jptkomputergg120097
