dear sir i do need matlab code for Bactorial foraging econamic dispatch

free matlab code for bacterial forgaging economic dispatch

ABSTRACT

This paper presents new optimization approach involving a modified Bacteria Foraging Algorithm (BFA) applied to economic load dispatch involving wind energy conversion systems (WECS). The approach utilizes the natural selection of global optimum bacterium having successful foraging strategies in the cost function including the factors of overestimation and underestimation of available wind energy. According to the stochastic nature of wind speed characteristics based on Weibull probability density function, the optimization problem is numerically solved for a scenario involving three conventional and two wind-powered generators. The simulation results provide optimal solutions of scheduling of generators under the risk of over estimation and underestimation of available wind power.

Congestion management using adaptive bacterial foraging algorithm

International Nuclear Information System (INIS)

The economical operation of power system is associated with many sub-problems. The electric market background makes the operation of system further complicated one. The congestion management problem can be devised as the emerging problem needs to concentrate much in order to supply power to the consumers in most reliable manner. In this paper we have tried to remove the congestion in the transmission line by generation rescheduling with the cost involved in the rescheduling process should be minimized. The adaptive bacterial foraging algorithm with Nelder-Mead (ABFNM) is used in this work to optimize the congestion cost. The results are also compared with the genetic algorithm (GA), particle swarm optimization (PSO) and simple bacterial foraging (SBF) algorithms. Numerical results for the standard IEEE 30 bus system having six generating units have been presented to demonstrate the performance of the algorithm. (author)