scholarly journals Optimal placement of wind turbine in a radial distribution network using PSO method

2020 ◽  
Vol 11 (2) ◽  
pp. 1074
Author(s):  
Yahiaoui Merzoug ◽  
Bouanane Abdelkrim ◽  
Boumediene Larbi
Keyword(s):  
Particle Swarm Optimization ◽  
Wind Turbine ◽  
Radial Distribution ◽  
Distribution Network ◽  
Load Flow ◽  
Optimal Location ◽  
Active Power ◽  
Optimal Placement ◽  
Sensitivity Factor ◽  
Swarm Optimization

<p>The aim of this article is to apply the Particle Swarm Optimization (PSO) method to find the best location for the wind turbine in the radial distribution network. The optimal location is found using the loss sensitivity factor. By respecting the constraints of the active power transmitted in the branches and the limits of the voltages modules for all the nodes. The validity of this method is tested on a 33-IEEE test network and the results obtained are compared with the results of basic load flow.</p>

scholarly journals Optimal Configuration of Wind Farms in Radial Distribution System Using Particle Swarm Optimization Technique

2018 ◽  
Vol 7 (2) ◽  
pp. 286-293 ◽  
Author(s):  
Mahesh Kumar ◽  
Bhagwan Das ◽  
Perumal Nallagownden ◽  
Irraivan Elamvazuthi ◽  
Sadia Ali Khan
Keyword(s):  
Particle Swarm Optimization ◽  
Radial Distribution ◽  
Distribution System ◽  
Particle Swarm ◽  
Wind Farms ◽  
Optimal Location ◽  
Optimal Configuration ◽  
Wind Data ◽  
Swarm Optimization ◽  
Radial Distribution System

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.

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