Stochastic Economic Load Dispatch Using Pareto Distribution with Multiple Fuels Local Convex By Bacterial Foraging Optimization

In this paper, Stochastic Economic Load Dispatch problem with Multiple Fuels is solved using Pareto distribution with local convex optimization by bacterial foraging approach. Bacterial foraging optimization is swarmed intelligence technique used to solve the problem of the power system. The algorithm is based on the group foraging behavior of Escherichia coli (E-coli) bacteria present in the human intestine. This social behavior of E-coli bacteria has been used to solve optimization problems. This paper presents a BFO to solve Economic load dispatch (ELD) problems. The result is obtaining from test system with ten generating units. In this paper performance of the BFO is compared with Particle swarm optimization (PSO). The result clearly shows that the proposed method gives a better optimal solution as compared to the other methods.