OPTIMAL SVC PLACEMENT FOR LOSS MINIMIZATION IN ELECTRIC POWER NETWORKS USING ARTIFICIAL INTELLIGENCE TECHNIQUES

Authors

  • Patel Rajan Kiritkumar Student Master of Electrical Engineering, L.D. College of engineering
  • Amin Alpa Arunkumar Student Master of Electrical Engineering, L.D. College of engineering
  • Dr. Hiren D Mehta Asso.professor Electrical Engineering, L.D. College of engineering

Keywords:

FACTS, SVC optimal placement, SVC optimal sizing, genetic algorithm, Power loss, Voltage deviation

Abstract

The problem of reducing power losses in electrical networks is a task that must be solved in an optimal
manner. At present, this optimality can be achieved by efficient usage of existing facilities along with installing
FACTS devices. The Static VAr Compensator (SVC) is chosen for study because of its maturity as well as acceptable
costs. In the study, genetic algorithm (GA) is trying to identify the optimal location and size of the Static VAr
Compensator (SVC). The computer program is run on IEEE 30- bus test system, assessing reducing power losses, and
also checking Voltage profile and voltage deviation of the system under consideration. The purpose of this study is to
validate the solution method and Check GA for it to be adapted for systems of higher dimensionality.

Downloads

Published

2017-04-25

How to Cite

Patel Rajan Kiritkumar, Amin Alpa Arunkumar, & Dr. Hiren D Mehta. (2017). OPTIMAL SVC PLACEMENT FOR LOSS MINIMIZATION IN ELECTRIC POWER NETWORKS USING ARTIFICIAL INTELLIGENCE TECHNIQUES. International Journal of Advance Research in Engineering, Science & Technology, 4(4), 323–329. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1078

Issue

Vol. 4 No. 4 (2017): Volume: 04, Issue: 04 - April, 2017.

Section

Articles