Title :
Node Voltage Improvement by Network Reconfiguration: A Soft Computing Approach
Author :
Chakravorty, Sandeep ; Chakravorty, Jaydeep ; Sarkar, Shweta
Author_Institution :
Dept. of Electr. & Electron. Engg, Sikkim Manipal Inst. of Technol., Manipal, India
Abstract :
In this paper we represent a genetic based algorithm for optimal reconfiguration of distribution network. It is generally difficult to solve distribution network with the combination of many tie-line switches. Here we have tried to simply the requirement by the use of genetic algorithm and further we have tried to improve the node voltages. We have run load flow program developed in MATLAB environment on the optimum feeder layout obtained and further we have tried to improve the node voltages of the network by trying the various combinations of tie line switches. The fitness function of the chromosomes turns out to be the maximum of the minimum node voltages. Using GA the paper gives the optimum combination of tie line switches for the best node voltages. The result is tested on single, two and three feeder network and the work has been carried out in MATLAB environment.
Keywords :
distribution networks; genetic algorithms; mathematics computing; neural nets; substations; MATLAB environment; distribution network; fitness function; genetic algorithm; load flow program; network reconfiguration; optimum feeder layout; soft computing approach; tie-line switches; Biological cells; Computer networks; Electronic mail; Genetic algorithms; Load flow; Load flow analysis; MATLAB; Switches; Telecommunication computing; Voltage; Genetic algorithm; Load flow analysis; Network reconfiguration; Optimization methods; Power distribution planning;
Conference_Titel :
Advances in Computing, Control, & Telecommunication Technologies, 2009. ACT '09. International Conference on
Conference_Location :
Trivandrum, Kerala
Print_ISBN :
978-1-4244-5321-4
Electronic_ISBN :
978-0-7695-3915-7
DOI :
10.1109/ACT.2009.175
