Economic Dispatch Considering Emissions Using Moth Flame Optimization and Bat Hybrid Algorithm

Abstract

The cost of generating electrical energy from different sources tend to differ from one power plant to another depending on the energy source used and amount of emissions produced by each individual power plant. As a result of different operation cost, the economic dispatch considering emissions techniques are normally applied in order to optimize the power systems aiming at reducing the operation cost and pollutant emissions. The generation of electric power keeps increasing day by day due to economic development across the world. The expansion in electrical generation contributes to large extent an increase of greenhouse gases emissions which are causing global warming, ozone layer depletion and air pollution. Fuels are the major source of electric energy generation, 42% of total global electricity generation is from coal which is the primary fuel globally. As a result of high dependability on fuel for electric generation, the electric energy is too expensive due to high expenses incurred by generation companies on emissions fees and purchase of fuels. In this study, the mitigation of the discussed situation was done through the implementation of developed Moth Flame Optimization and Bat hybrid algorithm in economic dispatch considering emissions. The results of the developed method were compared to others reported in literature and found to be promising in terms of electric generation cost and emissions reduction.