An Effective Economic Load Dispatch Methodology for Power System using Improved TANAN's Algorithm Sivagnanam G.*, Maheshwar R.** *Assistant Professor, Department of Electrical and Electronics Engineering, Sri Krishna College of Technology, Coimbatore, India. sivas_eee@yahoo.co.in **Associate Professor, Department of Electronics and Communication Engineering, Sri Krishna College of Technology, Coimbatore, India Online published on 23 March, 2017. Abstract Exponentially increasing pollution due to power industries is the major problem in the power industrial sector. The solution to the problem can be solved by optimal fuel usage in power industries. Though the renewable energy substitutes the pollution, it cannot be taken as the alternate for full power generation. More than 80% of the power production is served through non-renewable energy resource. Waste management in case of nuclear power sector is a major issue. The fuel usage is minimized by effectively considering the power demand as the factor. The proposed methodology is considered as multi objective problem and tested in IEEE 30 bus system. The pollution gases emitted by the fuel is considered as the emission constraint in order to make the proposed system a more eco-friendly one. The proposed algorithm is compared with λ-iteration, evolutionary programming approach & Genetic algorithms. The proposed algorithm effectively reduces the loss and fuel cost by 0.02 times and the powerloss is reduced by 2%. The gas emission by the proposed algorithm is reduced by 1% when compared to the RGAalgorithm. Top Keywords Economic Load Dispatch (ELD), TANAN, Improved TANAN, Renewable &Non-Renewable. Top |