GDL

Journal from gdlhub / 2017-08-11 13:06:16
Oleh : Mohd Ruddin Ab Ghani, Saif Tahseen Hussein, Nur Huda Mohd Amin, Zanariah Jano, Tole Sutikno, Telkomnika
Dibuat : 2017-03-10, dengan 1 file

Keyword : dynamic economic dispatch, PSO, problem formulation, modelling
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/4618
Sumber pengambilan dokumen : web

Due to limited availability of coal and gases, optimization plays an important factor in thermal generation problems. The economic dispatch problems are dynamic in nature as demand varies with time. These problems are complex since they are large dimensional, involving hundreds of variables, and have a number of constraints such as spinning reserve and group constraints. Particle Swarm Optimization (PSO) method is used to solve these challenging optimization problems. Three test cases are studied where PSO technique is successfully applied.

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