DocumentCode :
2057639
Title :
SVR optimal placement problem in distribution network with Distributed Generators
Author :
Kobayashi, T. ; Aoki, H.
Author_Institution :
Electr. & Electron. Syst. Eng. Dept., Univ. of Tokai, Hiratsuka, Japan
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
7
Abstract :
This paper presents a new approach to the optimal placement of a step voltage regulator (SVR) taking into consideration the installation of Distributed Generations (DG) based on a Genetic Algorithm (GA). In this case, it is necessary to solve problems such as the upper and lower limits of voltage at each node and line capacity. In addition, considering that the load and output of DG changes, it is important to solve more than one of these problems. In order to solve these problems, the conventional GA was improved and the proposed method was applied to the complex operative conditions of a distribution power system. Moreover, sending voltage is considered.
Keywords :
distributed power generation; distribution networks; genetic algorithms; voltage regulators; SVR optimal placement problem; complex operative conditions; distributed generators; distribution network; distribution power system; genetic algorithm; installation; step voltage regulator; Genetic algorithms; Load management; Load modeling; Optimization; Sociology; Statistics; Voltage control; Daily Load Variation; Genetic Algorithm; Optimal Placement; Step Voltage Regulator; Voltage Control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PESGM.2012.6345261
Filename :
6345261
Link To Document :
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