Optimal location and sizing of Thyristor Controlled Series Capacitor in radial distribution systems using particle swarm optimization and differential evolution techniques

2013 ◽  
Author(s):  
M. Geethanjali ◽  
S. Devi
Keyword(s):  
Particle Swarm Optimization ◽  
Differential Evolution ◽  
Radial Distribution ◽  
Distribution Systems ◽  
Particle Swarm ◽  
Optimal Location ◽  
Swarm Optimization ◽  
Thyristor Controlled Series Capacitor ◽  
Series Capacitor

scholarly journals Feature Selection and Parameters Optimization of SVM Using Particle Swarm Optimization for Fault Classification in Power Distribution Systems

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Ming-Yuan Cho ◽  
Thi Thom Hoang
Keyword(s):  
Particle Swarm Optimization ◽  
Radial Distribution ◽  
Distribution Systems ◽  
Binary Sequence ◽  
Particle Swarm ◽  
Time Domain Reflectometry ◽  
Fault Classification ◽  
Support Vector ◽  
Svm Classifier ◽  
Swarm Optimization

Fast and accurate fault classification is essential to power system operations. In this paper, in order to classify electrical faults in radial distribution systems, a particle swarm optimization (PSO) based support vector machine (SVM) classifier has been proposed. The proposed PSO based SVM classifier is able to select appropriate input features and optimize SVM parameters to increase classification accuracy. Further, a time-domain reflectometry (TDR) method with a pseudorandom binary sequence (PRBS) stimulus has been used to generate a dataset for purposes of classification. The proposed technique has been tested on a typical radial distribution network to identify ten different types of faults considering 12 given input features generated by using Simulink software and MATLAB Toolbox. The success rate of the SVM classifier is over 97%, which demonstrates the effectiveness and high efficiency of the developed method.

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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