Abstract—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, NOx, COx and SOx emission objectives. The simulated results demonstrate the effectiveness of the proposal formulation.
Index Terms—Generation dispatch, Emission dispatch, Multi-objective optimization, Evolutionary algorithm.
Javed Dhillon is with Alternate Hydro Energy Center, Indian Institute of Technology, Roorkee, Uttarakhand, India. (e-mail: javed364@gmail.com)
Sanjay K. Jain is with Electrical and Instrumentation Engineering Department, Thapar University, Patiala, India. (e-mail: skjain@thapar.edu)
Cite: Javed Dhillon and Sanjay K. Jain, "Multi-Objective Generation and Emission Dispatch Using NSGA-II," International Journal of Engineering and Technology vol. 3, no. 5, pp. 460-466, 2011.
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