A Solution for Environmental Constrained Economic Dispatch Problems using Honey Bee Algorithm

Abstract

In this paper, honey bee algorithm is proposed to optimise the economic and emission dispatch problems in power systems effectively. This optimization method focuses the global solution in a sense that a generation company need carry out the cost reduction and emission reduction under competitive environment. In recent years increasing of thermal power plants air pollution and concentration of carbon dioxide emission leads to the global warming. This paper solves the economic dispatch and the combined economic and emission dispatch problem considering both ramp rate and valve point loading effect.

Economic and emission dispatch using cuckoo search algorithm

“…But these methods require enormous efforts in terms of computation. Due to complexities of computing, therefore efficient algorithm to find optimal solution like genetic algorithm [15,16], particle swarm optimization [17], evolutionary programming, artificial bee colony optimization [18,19], and biogeography based optimization; bacterial foraging and also their variants came into implement. Bio-inspired meta-heuristic algorithms have recently shown the efficiency in dealing with many nonlinear optimizations constrained problems for finding the optimal solution.…”

Economic and Emission Dispatch using Whale Optimization Algorithm (WOA)

“…But these methods require enormous efforts in terms of computation. Due to complexities of computing, therefore efficient algorithm to find optimal solution like genetic algorithm [16], [18], particle swarm optimization [5], evolutionary programming, artificial bee colony optimization [9], [10], and biogeography based optimization; bacterial foraging and also their variants came into implement. Bio-inspired meta-heuristic algorithms have recently shown the efficiency in dealing with many nonlinear optimizations constrained problems for finding the optimal solution.…”