Reduction of Carbon Dioxide Emission in Thermal Power Plants by Using Particle Swarm Optimization Technique

change as the greatest environmental challenge facing the world today. Power stations play a major role in greenhouse gas emissions. Nearly 21.3% of green house gases are emitted by power plants alone. The main sources of greenhouse gases are due to burning of fossil fuels and deforestation leading to higher carbon dioxide concentrations. Normally CO2 in the atmosphere is removed by mixing into the ocean & photosynthesis process but it takes long time. The proposed method reduces the carbon dioxide emission in gas power plants by using computational approach of particle swarm optimization technique. In this paper the Particle Swarm Optimization (PSO) solution to economic dispatch problem is very useful when addressing heavily constrained optimization problem in terms of solution accuracy. Results obtained from this technique clearly demonstrate that the algorithm is more efficient in terms of number of evolution to reach the global optimum point. It also shows that the solution method is practical and valid for real time applications. It solves the Economic Load Dispatch (ELD) power system problem using Particle Swarm Optimization algorithm for three generator system and six generator system with emission constraints. The algorithm was used to check the validity; quality of the solution and the results shows that emission values are very low compared with conventional methods. KeywordsChanges, carbon dioxide Emission, particle swarm