Open AccessCompensation Design Using RLS Algorithm for THD Reduction in a Solar PV Hybrid System
Author(s) -
Satyam Kumar Prasun,
Sanjeev Jarariya,
Avinash Kumar
Publication year - 2019
Publication title -
smart moves journal ijoscience
Language(s) - English
Resource type - Journals
ISSN - 2582-4600
DOI - 10.24113/ijoscience.v5i11.236
Subject(s) - total harmonic distortion , compensation (psychology) , voltage , matlab , computer science , photovoltaic system , energy (signal processing) , electric potential energy , control theory (sociology) , software , renewable energy , work (physics) , hybrid system , automotive engineering , engineering , electrical engineering , mathematics , mechanical engineering , psychology , statistics , control (management) , artificial intelligence , psychoanalysis , programming language , operating system , machine learning
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