Optimal Configuration of Wind Farms in Radial Distribution System Using Particle Swarm Optimization Technique
| Main Authors: | Kumar, Mahesh; Universiti Teknologi PETRONAS Seri Iskandar, Das, Bhagwan; Quaid-e-Awam University of Engineering and Technology, Nallagownden, Perumal; Universiti Teknologi PETRONAS Seri Iskandar, Elamvazuthi, Irraivan; Universiti Teknologi PETRONAS Seri Iskandar, Ali Khan, Sadia; University of Karachi |
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| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Institute of Advanced Engineering and Science
, 2018
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| Subjects: | |
| Online Access: |
http://journal.portalgaruda.org/index.php/EEI/article/view/1224 http://journal.portalgaruda.org/index.php/EEI/article/view/1224/832 |
Daftar Isi:
- Recently, a wide range of wind farm based distributed generations (DGs) are being integrated into distribution systems to fulfill energy demands and to reduce the burden on transmission corridors. The non-optimal configuration of DGs could severely affect the distribution system operations and control. Hence, the aim of this paper is to analyze the wind data in order to build a mathematical model for power output and pinpoint the optimal location. The overall objective is minimization of power loss reduction in distribution system. The five years of wind data was taken from 24o 44’ 29” North, 67o 35’ 9” East coordinates in Pakistan. The optimal location for these wind farms were pinpointed via particle swarm optimization (PSO) algorithm using standard IEEE 33 radial distribution system. The result reveals that the proposed method helps in improving renewable energy near to load centers, reduce power losses and improve voltage profile of the system. Moreover, the validity and performance of the proposed model were also compared with other optimization algorithms.