Placement of Dg, Cb, and Tcsc in radial distribution system for power loss minimization using back-tracking search algorithm

2016 ◽  
Vol 99 (3) ◽  
pp. 791-802 ◽  
Author(s):  
Waleed Fadel ◽  
Ulas Kilic ◽  
Sezai Taskin
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Search Algorithm ◽  
Loss Minimization ◽  
Radial Distribution System ◽  
Power Loss Minimization

scholarly journals Power Loss Minimization in Radial Distribution System

2015 ◽  
Vol 79 ◽  
pp. 917-923 ◽  
Author(s):  
K.R. Devabalaji ◽  
A. Mohamed Imran ◽  
T. Yuvaraj ◽  
K. Ravi
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Loss Minimization ◽  
Radial Distribution System ◽  
Power Loss Minimization

scholarly journals Power Loss Reduction using Instantaneous Network Reconfiguration and DG Placement with Cuckoo Search Algorithm in Distribution System

2020 ◽  
Vol 8 (6) ◽  
pp. 2393-2398
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Power Loss ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Network Reconfiguration ◽  
Radial Distribution System ◽  
Distributed Generator ◽  
Power Loss Reduction

The aim of reducing power loss, enhancing profile of voltage in a radial distribution system at which consumers are connected and also determining the ratings of power, optimal placement of Distributed generator. In this paper to resolve the drop in voltage profile by using network reconfiguration that gives possible switching possibilities with an efficient Cuckoo Search Algorithm (CSA) is discussed and Sensitivity analysis are carried out simultaneously for finding sizing and possible location of distributed generation. To confirm the usefulness of the discussed method it was conducted on radial distribution system of 33 bus connected by various load levels, the result shows that the discussed method is fast and efficient. However to meet power requirement and lack of transmission capabilities importance for DG is rapidly evolving in electrical systems. For reliability and stability for the power system best possible location of Distributed Generator is needed in distribution system. To overcome the shortcomings of mathematical optimization practices, soft computing algorithms have been actively introduced during the last decade.

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