Multi-Objective Generation and Emission Dispatch Using NSGA-II
Javed Dhillon, Sanjay Kumar Jain · International Journal of Engineering and Technology · 2011
The multi-objective problem of the generation and emission dispatch is solved to find the generation levels that best compromise the generation cost and the emission level while satisfying the power balance constraint. The solution is attempted using non-dominated sorting genetic algorithms-II (NSGA-II) to find non-dominated solutions of with good diversity. The best compromise solution has been obtained using Fuzzy cardinal priority ranking. The results are presented for a system of 6-generators by neglecting the losses and accounting them for different combinations of Fuel cost, NO x , CO x and SO x emission objectives. The simulated results demonstrate the effectiveness of the proposal formulation.