Sign Regressor Least Mean Square Control Algorithm and Adaptive P&O Algorithm for Single Stage PV System Integrated with Power Grid

Authors

  • Chintapalli Satya Praneeta
  • M Srinivasarao

Keywords:

Solar Photo voltaic, HCC, MPPT, LMS.

Abstract

The project work proposes sign regressor least mean square (LMS) algorithm with P&O algorithm for single stage grid-connected solar PV generator system. For grid synchronization, the proposed algorithm adaptive filtering-based method is designed for DC to AC conversion with required rated frequency and voltage values as well as abc phase sequence. The algorithm also seeks to include features like harmonic correction and VAR generation, load balancing, and adaptive DC link voltage regulation, among others. Additionally, to reduce number of stages in grid-connected solar PV generator system, adaptive P&O algorithm proposed. A single-stage three-phase grid connected PV system is used to test the adaptive algorithm with linear as well as non-linear loads. The system is simulated in MATLAB with Simulink toolbox. Simulation results obtained show the effectiveness of the applied algorithm under steady and dynamic state operations.

Downloads

Download data is not yet available.

Downloads

Published

2021-11-25

How to Cite

Chintapalli Satya Praneeta, & M Srinivasarao. (2021). Sign Regressor Least Mean Square Control Algorithm and Adaptive P&O Algorithm for Single Stage PV System Integrated with Power Grid . International Journal of Progressive Research in Science and Engineering , 2(11), 66-71. Retrieved from https://journals.grdpublications.com/index.php/ijprse/article/view/474

Issue

Section

Articles