GA Based Optimal Placement of SVC for Minimizing Installation Cost and Voltage Deviations
- Resource Type
- Article
Text
- Authors
- Ankita Singh; Shishir Dixit
- Source
- International Journal of Hybrid Information Technology, 09/30/2015, Vol. 8, Issue 9, p. 281-288
- Subject
- FACTS devices
Optimal Sizing
Genetic Algorithm
SVC
Installation Cost
Voltage Profile
- Language
- 영어(ENG)
- ISSN
- 1738-9968
Power system under heavily loaded conditions is at high risks of consequent voltage instability problem. Voltage deviation minimization is the reliable indicators of voltage security of power networks. The aim is to minimize the voltage deviation and installation cost under increasing load condition in power system network. GA is used to solve the optimization problem in this paper which is one of the heuristic methods. Genetic Algorithm optimizes the location and size of the SVC. The effectiveness of the proposed work is tested in IEEE-30 Bus test system. It has also been observed that the proposed algorithm can be applied to larger systems and do not suffer with computational difficulties. The obtained results show that the allocation of SVC device with the proposed method considerably enhanced the voltage stability and reduce installation cost.