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Reseach Article

A Hybrid Genetic Algorithm based on Differential Evolution Approach for Voltage Stability Improvement

by D. Godwin Immanuel, G. Selva Kumar, C. Christober Asir
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 86 - Number 16
Year of Publication: 2014
Authors: D. Godwin Immanuel, G. Selva Kumar, C. Christober Asir
10.5120/15073-3513

D. Godwin Immanuel, G. Selva Kumar, C. Christober Asir . A Hybrid Genetic Algorithm based on Differential Evolution Approach for Voltage Stability Improvement. International Journal of Computer Applications. 86, 16 ( January 2014), 29-32. DOI=10.5120/15073-3513

@article{ 10.5120/15073-3513,
author = { D. Godwin Immanuel, G. Selva Kumar, C. Christober Asir },
title = { A Hybrid Genetic Algorithm based on Differential Evolution Approach for Voltage Stability Improvement },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 86 },
number = { 16 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 29-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume86/number16/15073-3513/ },
doi = { 10.5120/15073-3513 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:04:24.999740+05:30
%A D. Godwin Immanuel
%A G. Selva Kumar
%A C. Christober Asir
%T A Hybrid Genetic Algorithm based on Differential Evolution Approach for Voltage Stability Improvement
%J International Journal of Computer Applications
%@ 0975-8887
%V 86
%N 16
%P 29-32
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Voltage stability plays a vital role in operation and control of power system. In this paper an optimal reactive power and voltage control based on hybrid Genetic Algorithm assisted Differential Evolution algorithm for voltage stability improvement is proposed. In this approach the voltage stability index is formulated to identify the most vulnerable bus at stressed conditions. The bus with the value of maximum VSI is considered as the most critical bus. To maintain the stability of the system the severity of the load buses has to be minimized. This can be achieved by the optimal settings of control variables. The effectiveness of the proposed approach has been examined on the standard IEEE 30 bus test system.

References
  1. Kessel P, Glavitsch H. Estimating the voltage stability of power systems. IEEE Trans Power System 1986; 1:346354.
  2. Van Cutsem T. A method to compute reactive power margins with respect to voltage collapse. IEEE Trans Power System 1991; 6:145-156
  3. Grudinin. N, Reactive power optimization using successive quadratic programming method. IEEE Trans Power System 1998, 13,pp. 1219-1225.
  4. Lai LL, Ma JT, Application of evolutionary programming to reactive power planning-comparison with nonlinear programming approach. IEEE Trans Power System, 1997;12: pp. 198-206.
  5. Kim DH, Lee JH, Hong SH, Kim SR. A mixed integer programming approach for the linearized reactive power and voltage control-comparison with gradient projection approach, International conference on energy management and power delivery, proceedings of EMPD98, vol. 1;1998, pp. 67-72.
  6. P. K. Roy, S. P. Ghoshal, S. S. Thakur, optimal var control for improvements in voltage profiles and for real power loss minimization using biogeography based optimization, Electrical Power and Energy Systems,43(2012) pp. 830-838.
  7. John G. Vlachogiannis, Jacob Ostegaard, Reactive power and voltage control based on general quantum genetic algorithms. Expert Systems with Applications36,(2009) pp. 6118-6126.
  8. A. A. Abou El Ela, M. A. Abido, S. R. Spea, Differential evolution algorithm for optimal reactive power dispatch; Electric Power System Research 81(2011) pp. 458-464.
  9. Alsac O, Scott B, Optimal load flow with steady state security,IEEE Transaction on pwer Apparatus system 1974, pp. 187-202.
Index Terms

Computer Science
Information Sciences

Keywords

Newton Raphson Power Flow Genetic Algorithm Differential Evolution Volt Ampere Reactive Voltage Stability Index .