Compensation Design Using RLS Algorithm for THD Reduction in a Solar PV Hybrid System

Authors

  • Satyam Kumar Prasun M. Tech. Scholar, Dept. of Electrical & Electronics Engineering, Corporate Institute of Science & Technology, Bhopal
  • Sanjeev Jarariya Assistant Professor, Dept. of Electrical & Electronics Engineering, Corporate Institute of Science & Technology, Bhopal
  • Avinash Kumar M.Tech. Scholar, Dept. of Electrical & Electronics Engineering, Corporate Institute of Science & Technology, Bhopal

DOI:

https://doi.org/10.24113/ijoscience.v5i11.236

Keywords:

Hybrid solar-wind systems, STATCOM, compensator, RLS algorithm, total harmonic distortion

Abstract

PV and wind hybrid are found to be the most lucrative solution for the diminishing traditional energy sources. Whereas these alternatives sources of the energy have many remarkable rewards like cost of energy and feasibility etc. The attributes of these sources of being cost effective and stable are possible due to their complementary nature as compared to independent energy systems. Therefore, these systems have admirable capability to meet energy crisis up to some extent. The proposed word has designed a hybrid energy system fit for driving residential loads using MATLAB/SIMULINK software. The work has proposed a compensator with RLS algorithm is place of traditional STATCOM device. The results has sown that the active power output available at the load terminal improved from 400 KW to 700KW. Also the work has analyzed THD level in voltage and current waveforms. The proposed RLS based compensator reduced the THD level in voltage to 0.81% and in current wave form to  1.26% . The model has also been integrated with the grid in order to make the system more reliable and efficient while driving loads

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References

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Published

11/19/2019

How to Cite

Prasun, S. K., Jarariya, S., & Kumar, A. (2019). Compensation Design Using RLS Algorithm for THD Reduction in a Solar PV Hybrid System. SMART MOVES JOURNAL IJOSCIENCE, 5(11), 29–38. https://doi.org/10.24113/ijoscience.v5i11.236