Locating and determining of optimized SVC size for reducing loss in transmission networks by intelligent algorithms
Locating and determining of optimized SVC size for reducing loss in transmission networks by intelligent algorithms
Fathollah ommi1 milad askari2
1) Associate Professor of Mechanical and Aerospace Engineering Department, Tarbiat Modarres University, Tehran, Iran
2) Aerospace engineering doctoral student, Kish International Campus, Tehran University, Kish, Iran
Publication :
The 5th International conference of Sciences and Engineering(5icesconf.com)
Abstract :
This article is about optimized locating and optimized determination of SVC size by two algorithms (BGA- binary generic algorithm and BF-bacterialforaging) in order to reducing loss and improving voltage profile on three IEEE bus networks (5 and 6 and 30). Precision, accessibility and quick response are advantages of these algorithms in comparison to other classic ones. In this research we try to make a comparison between intelligent algorithms and find effective factors (such as optimized size and location) in order to loss reduction in two modes (with one and two SVCs).
Keywords :
voltage profile
reactive and active loss
binary generic algorithm. Bacteria algorithm
SVC