Dynamic Economic Dispatch Problems: PSO Approach
| Main Authors: | Ab Ghani, Mohd Ruddin; Universiti Teknikal Malaysia Melaka, Hussein, Saif Tahseen; Ministry of Electricity, Baghdad, Mohd Amin, Nur Huda; Universiti Teknikal Malaysia Melaka, Jano, Zanariah; Universiti Teknikal Malaysia Melaka, Sutikno, Tole; Universitas Ahmad Dahlan |
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| Other Authors: | Ministry of Higher Education Malaysia, Universitim Teknikal Malaysia, Melaka, Ministry of Electricity of Iraq (MOE). |
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Universitas Ahmad Dahlan
, 2017
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| Subjects: | |
| Online Access: |
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/4618 http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/4618/pdf_350 |
Daftar Isi:
- 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.