Development of intelligent algorithm for minimization of sulphur oxides carbon oxides and nitrogen oxides in flue gases

D. Godwin Immanuel

Abstract

Pollution control is a challenging task in the modern era. The major cause of air pollution is the flue gas from the thermal power stations. It is the primary pollutant which is directly emitted to the atmosphere causes severe health hazards. The major pollutant present in the flue gases are sulphur oxides, carbon oxides and the nitrogen oxides. Power generation from thermal power plants without air pollution is impossible, but it can be minimized. The objective function of this approach is minimization of pollutants in the flue gases subjected to equality and inequality constraints. In this proposed work a hybrid intelligent technique Genetic Algorithm based Artificial Bee Colony algorithm is implemented in IEEE 30 bus system.