Optimization of Voltage Stability Improvement with L-index using Gentic Algorithm

Authors

  • Priya Gupta ElectricaDepartmenl, Marwadi Education Foundation Group of Institutions College
  • Anurag Gupta ElectricaDepartment, Marwadi Education Foundation Group of Institutions College

Keywords:

bus test system, Genetic algorithm, Optimization, Power flow, Voltage collapse, Voltage stability index

Abstract

The voltage stability analysis and the improvement methodologies are important because increase in
demand of electricity is causing voltage drop and thermal stress which may lead to voltage collapse. A Genetic
algorithm (GA) is used to solve the optimal power flow (OPF) problem for voltage stability improvement. The voltage
stability is measured through L-index to find the vulnerable buses for the placement of compensating devices. The
control variables are identified to minimize the maximum value of L-indices. The effect of changing the number of
control variables is also studied and the algorithm is tested on IEEE 30-bus and 57-bus systems.

Published

2016-04-25

How to Cite

Priya Gupta, & Anurag Gupta. (2016). Optimization of Voltage Stability Improvement with L-index using Gentic Algorithm. International Journal of Advance Research in Engineering, Science & Technology, 3(4), 517–526. Retrieved from https://ijarest.org/index.php/ijarest/article/view/585