Optimal Placement and Sizing of DGs in Electrical Distribution System using Optimization Techniques

Authors

  • Dr.G.Nageswara Reddy

DOI:

https://doi.org/10.46243/jst.2022.v7.i02.pp121-129

Keywords:

Improvement of voltage stability index and power loss reduction, Distribution generation, Butterfly Optimization Algorithm (BOA), Constriction factor particle swarm optimization (CF-PSO)

Abstract

The Electrical energy is produced at the generating station is conveyed to the consumers through a network of transmission and distribution systems That part of power system which distributes electrical power for

local use in (DG’s) placement is carried out sufficient smaller than central power plants and can be connected at

nearly any point in power system. It has some benefits they are Voltage control power quality, Loss reduction, System reliability. Distribution generation (DG) is a modular technology that can be sited throughout a utility service to lower the cost of service. The optimization is based on the Constriction-factor Particle Swarm optimization (Cf-PSO) technique and Butterfly Optimization Algorithm (BOA) with efficient mathematical function and global search capability. Shunt capacitor bank plays an important role in Electrical Distribution System (EDS). It improves the voltage stability, power factor, reduce network losses. To allocate the DG and SC banks optimally in Radial Distribution System to reduce the Power losses, Enhances the voltage profile, to diminish the total voltage deviation (TVD), to expand the voltage stability index (VSI)To finding the optimal site and size of DG’s and SC bank, Butterfly Optimization Algorithm and constriction –factor Particle swarm optimization (Cf-PSO) is applied in IEEE 33-bus system and IEEE 69 bus RDS.

 

Downloads

Published

2022-03-21

How to Cite

Dr.G.Nageswara Reddy. (2022). Optimal Placement and Sizing of DGs in Electrical Distribution System using Optimization Techniques. Journal of Science & Technology (JST), 7(2), 121–129. https://doi.org/10.46243/jst.2022.v7.i02.pp121-129

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.