Analysis Of ABC Algorithm Based ANFIS Controller For PV Integrated Low Voltage Weak Grid System

• Author(s): S. Sivaranjani ; Dr. P. Kannan ; Dr. K. Venkataramanan ; K. Indhumathi
• Paper ID: 1701968
• Page: 196-201
• Published Date: 29-02-2020
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 3 Issue 8 February-2020

Abstract

As renewable energy technology demand increases, the PV system has received great attention. This paper analysis the Adaptive Neuro-Fuzzy Inference System (ANFIS) controller trained by Artificial Bee Colony algorithm (ABC) for grid-connected solar PV system which enhances the performances of the solar grid-connected system by providing constant power output with low disturbances. In this paper, the ANFIS control technique is tested on a single-phase single-stage grid-integrated PV topology with the nonlinear loads. The proposed system is modeled, and the simulation has been carried out in a MATLAB/SIMULINK environment.

Keywords

Adaptive Neuro Fuzzy Inference System, Artificial Bee Colony algorithm, Solar and Grid integration, Maximum Power Point Tracking

Citations

IRE Journals:
S. Sivaranjani , Dr. P. Kannan , Dr. K. Venkataramanan , K. Indhumathi "Analysis Of ABC Algorithm Based ANFIS Controller For PV Integrated Low Voltage Weak Grid System" Iconic Research And Engineering Journals Volume 3 Issue 8 2020 Page 196-201

IEEE:
S. Sivaranjani , Dr. P. Kannan , Dr. K. Venkataramanan , K. Indhumathi "Analysis Of ABC Algorithm Based ANFIS Controller For PV Integrated Low Voltage Weak Grid System" Iconic Research And Engineering Journals, 3(8)