Stability Enhancement by Comparative Analysis of AI Techniques in Power System Stablizer Integrated With Hybrid System

Authors

  • Harsh Vardhan Singh M. Tech. Scholar, Oriental College of Technology, Bhopal, India
  • Dr. Ranjeeta Khare Professor, Oriental College of Technology, Bhopal, India

DOI:

https://doi.org/10.24113/ijoscience.v5i6.245

Keywords:

Hybrid system, Stabilizer, Particle swarm optimization, neural network, Hysteresis control

Abstract

Hybrid system has been modeled in MATLAB/SIMULINK environment which is then integrated with two generators based power system. The work has done over analysis of THD level in voltage output from the hybrid system with various controls being proposed for the power system stabilizer. Various controls like PI-Hysteresis, particle swarm optimization (PSO) and PSO with neural network (NN) have been implemented for comparative study. It was found that the distortion level in voltage output waveform was least in stabilizer having PSO-NN control which is 3.36%. Also the active power enhancement reached a whooping value of 9.4 KW from the hybrid system.

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References

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Published

12/12/2019

How to Cite

Singh, H. V., & Khare, D. R. (2019). Stability Enhancement by Comparative Analysis of AI Techniques in Power System Stablizer Integrated With Hybrid System. SMART MOVES JOURNAL IJOSCIENCE, 5(12), 16–19. https://doi.org/10.24113/ijoscience.v5i6.245

Issue

Vol. 5 No. 12 (2019): Volume 5, Issue 12, December 2019

Section

Articles

License

Copyright (c) 2019 Harsh Vardhan Singh, Dr. Ranjeeta Khare

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