A Hybrid Solar Photovoltaic and Wind Turbine Power Generation for Stand-Alone System with IoT-Based Monitoring and MPPT Control

Abstract

The goal of this effort is to monitor and manage a hybrid stand-alone photovoltaic (PV) and wind energy system (WES) using the Internet of Things (IoT). The suggested hybrid system uses Incremental Conductance (INC) Maximum Power Point Tracking (MPPT) and Perturb and Observe (P&O)-based Sliding Mode Control (SMC) approaches. The cost-effective Arduino Uno board in Matlab is used to analyze the P&O and INC MPPT methods. Energy from renewable sources is stored in a battery, and the output voltage of each source is monitored using the blynk app and GSM 800c module. Simulation results validate the controller’s operation, and the performance of both MPPT algorithms is compared. Experimental outcomes demonstrate the effectiveness of the IoT-based controller and its characteristic functionalities. Overall, this proposed hybrid PV and WES configuration offers advantages such as reduced human resources, cost-effectiveness, time savings, enhanced reliability, and improved data collection and control capabilities.

Keywords:

• solar PV
• wind energy conversion system
• mPPT
• boost converter
• perturb & observe incremental conductance and internet of things

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

DATA AVAILABILITY STATEMENT

Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

No participation of humans takes place in this implementation process.

AUTHORSHIP CONTRIBUTIONS

All authors are contributed equally to this work.

HUMAN AND ANIMAL RIGHTS

No violation of Human and Animal Rights is involved.

Additional information

Notes on contributors

R. Priyadharsini

R. Priyadharsini is graduated B.E from Saranathan College of Enginnering & M.E from J.J College of Engineering and Technology, Affiliated to Anna University, Chennai, in the years 2014 and 2016 respectively. She is presently a research scholar at University College of Engineering, BIT Campus, Trichy. Her areas of interest are Power system optimization, Power quality, Power electronics and IoT.

R. Kanimozhi

R. Kanimozhi is graduated B.E, M.E from Annamalai University, Chidambaram, Tamilnadu and Ph.D from Anna University, Chennai. She is presently working as Assistant Professor for the department of Electrical and Electronics Engineering, University College of Engineering, BIT Campus, Trichy. Her areas of interest are Distributed Generation, Power systems, Control engineering and IoT.