Logo

Optimal configuration of wind farms in radial distribution system using particle swarm optimization technique

Kumar, M. and Das, B. and Nallagownden, P. and Elamvazuthi, I. and Khan, S.A. (2018) Optimal configuration of wind farms in radial distribution system using particle swarm optimization technique. Bulletin of Electrical Engineering and Informatics, 7 (2). pp. 286-293.

Full text not available from this repository.

Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

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. © 2018 Institute of Advanced Engineering and Science. All rights reserved.

Item Type:Article
Impact Factor:cited By 0
Departments / MOR / COE:Research Institutes > Institute for Autonomous Systems
ID Code:21543
Deposited By: Ahmad Suhairi
Deposited On:01 Aug 2018 03:12
Last Modified:07 Nov 2018 03:13

Repository Staff Only: item control page