DocumentCode :
121644
Title :
Optimal placement of SVC for minimizing power loss and improving voltage profile using GA
Author :
Dixit, Sudhaker ; Srivastava, L. ; Agnihotri, Ganga
Author_Institution :
Dept. of Electr. Eng., MITS, Gwalior, India
fYear :
2014
fDate :
7-8 Feb. 2014
Firstpage :
123
Lastpage :
129
Abstract :
Various problems occurring in the operation of emerging restructured power system networks can be solved up to some extent by using flexible AC transmission system (FACTS) devices. In the planning stage of installation of these devices, an exhaustive exploration is a must to acquire maximum benefit of these devices as these devices require huge capital investment. In this paper, Genetic Algorithm (GA) has been applied to find the optimal location of Static Var Compensator (SVC) so that, real power loss, voltage deviation and rating of SVC may be minimized considering the most critical contingencies. As a first step, contingency ranking has been performed to determine the most severe line outages by evaluating voltage performance index (VPI). Thereafter, GA has been applied to find the optimal location and size of SVC. The effectiveness of the proposed methodology is demonstrated on a standard IEEE 30-bus system.
Keywords :
flexible AC transmission systems; genetic algorithms; investment; losses; minimisation; power transmission economics; power transmission planning; power transmission reliability; static VAr compensators; FACTS device; GA; VPI evaluation; capital investment; contingency ranking; device installation planning; flexible AC transmission system; genetic algorithm; line outages determination; optimal SVC placement location; power loss minimization; power system network restructure; standard IEEE 30-bus system; static var compensator; voltage deviation minimization; voltage performance index; voltage profile improvement; Security; FACTS; Real Power loss; SVC; Voltage Deviation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014 International Conference on
Conference_Location :
Ghaziabad
Type :
conf
DOI :
10.1109/ICICICT.2014.6781264
Filename :
6781264
Link To Document :
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