Enchanted Multi-Objective Differential Evolutional Algorithm for Economic/Environmental Dispatch

Abstract:

An enchanted multi-objective differential evolutional algorithm was proposed, and was applied to solve the environmental economic dispatch problem. Duo to the weakness of random initial population, the orthogonal method was used in the initialization. Based on survival of the fittest, improved differential operation was proposed, combined with the corresponding parameters control method proposed. With the combination of B-coefficient method and restrain dominance, the process of solving equation and selection operation were used to make the individuals meet the equality constrain. Then the algorithm was tested on the IEEE-30 test system, the results are compared with the results of non-dominated genetic algorithm-II、multi-objective differential evolution and the known results in the papers, and the validity is verified. Keywords: Security constrained economic/environmental dispatch,Constrained multi-objective differential evolution,Feasible region and infeasible region

• Periodical: Advanced Materials Research (Volumes 960-961)
• Pages: 1494-1500
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.960-961.1494
• Online since: June 2014
• Authors: Peng Sun*, Ming Wu Luo, Chao Xia Sun
• Keywords: Constrained Multi-Objective Differential Evolution, Feasible Region, Infeasible Region, Security Constrained Economic/Environmental Dispatch

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