Abstract: In this paper, a novel multiobjective genetic algorithm approach for economic emission load dispatch (EELD) optimization problem is presented. The EELD problem is formulated as a nonlinear constrained multiobjective optimization problem with both equality and inequality constraints. A new multiobjective genetic algorithm based approach employs the concept of co-evolution and repair algorithm for handling nonlinear constraints. The algorithm maintains a finite-sized archive of non-dominated solutions which gets iteratively updated in the presence of new solutions based on the concept of e -dominance. The use of e -dominance also makes the algorithms practical by allowing a decision maker to control the resolution of the Pareto set approximation. TOPSIS method is employed to extract the best compromise solution from a finite set of alternatives based upon simultaneous minimization of distance from an ideal point (IP) and maximization of distance from a nadir point (NP). Several optimization runs of the proposed approach are carried out on the standard IEEE 30-bus 6-genrator test system. Simulation results with the proposed approach have been compared to those reported in the literature. The comparison demonstrates the superiority of the proposed approach and confirms its potential to solve the multiobjective EELD problem.
Mousa, A., & El-Desoky, I. (2008). A Novel Multiobjective Genetic Algorithm Based Technique for Economic Emission Load Dispatch Optimization Problem. The International Conference on Electrical Engineering, 6(6th International Conference on Electrical Engineering ICEENG 2008), 1-20. doi: 10.21608/iceeng.2008.34524
MLA
A. A. Mousa; I. M. El-Desoky. "A Novel Multiobjective Genetic Algorithm Based Technique for Economic Emission Load Dispatch Optimization Problem", The International Conference on Electrical Engineering, 6, 6th International Conference on Electrical Engineering ICEENG 2008, 2008, 1-20. doi: 10.21608/iceeng.2008.34524
HARVARD
Mousa, A., El-Desoky, I. (2008). 'A Novel Multiobjective Genetic Algorithm Based Technique for Economic Emission Load Dispatch Optimization Problem', The International Conference on Electrical Engineering, 6(6th International Conference on Electrical Engineering ICEENG 2008), pp. 1-20. doi: 10.21608/iceeng.2008.34524
VANCOUVER
Mousa, A., El-Desoky, I. A Novel Multiobjective Genetic Algorithm Based Technique for Economic Emission Load Dispatch Optimization Problem. The International Conference on Electrical Engineering, 2008; 6(6th International Conference on Electrical Engineering ICEENG 2008): 1-20. doi: 10.21608/iceeng.2008.34524