کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
400555 | 1438781 | 2010 | 8 صفحه PDF | دانلود رایگان |
To solve the highly constrained environmental/economic dispatch problem involving conflicting objectives, this paper presents a hybrid multi-objective optimization algorithm based on particle swarm optimization (PSO) and differential evolution (DE). In this algorithm, a PSO with time variant acceleration coefficients is designed to explore the entire search space, while a local version of DE is proposed to exploit the sub-space with sparse solutions. A crowing distance-based approach is introduced to assign the particles’ leaders and to update the external archive. Moreover, a new technique for equality constraints is proposed to hurdle the unfeasible solutions directly. Finally, several optimization trials of the proposed algorithm are carried out on the IEEE 30-bus test system. Results demonstrate superiority of the proposed approach and confirm its potential to solve the multi-objective EED problem.
Journal: International Journal of Electrical Power & Energy Systems - Volume 32, Issue 6, July 2010, Pages 607–614