Tracking Control using Sensor Technology Solar Cell: In Real Time Domain Analysis
Keywords:
Loess Plateau; Ancient landslide; Unloading creep; Differential deformation; Stress path, Solar Panel; Tracking Control, Sensor Technology.Abstract
Solar Tracking (ST) is employed to maximize output power due to the nonlinear characteristics of renewable energy sources. Sunlight is considered the most reliable traditional source of energy when energy emergencies arise. First, we present some basic characteristics of the motor in the form of Tables and Figures. Solar panel tracking is, therefore, necessary to enhance their efficiency. In this article, we present the sensor based viz. STM32 microcontroller has been implemented in real-time using the PV arrays. In addition, we did an analysis of stateof-the-art reviews of solar photo-voltaic systems for this research article. Researchers have developed sensor-based techniques to improve renewable energy systems. This technique performs better than other traditional methods.
References
MS Aslam, I Qaisar (2023) Sensor networks with distributed event-triggered scheme for T–S fuzzy system with dissipativity analysis. 71, 100800. https://doi.org/10.1016/j.ejcon.2023.100800
MS Aslam, Q Li, J Hou (2021) Fault detection for asynchronous T–S fuzzy networked Markov jump systems with new event-triggered scheme. 15(11), 146173.
A. N. Ali, R. Jayabharath, M. D. Udayakumar (2014) An ANFIS based advanced MPPT control of a wind-solar hybrid power generation system. 7(4), 638-643. https://doi.org/10.15866/iremos.v7i4.2457
M. Bagnoli, A. De Pascale (2005) Performance evaluation of a small size cogenerative system based on a PEM fuel cell stack. 47276, 143-150. https://doi.org/10.1115/GT2005-68451
O. Erdinc, M. Uzunoglu (2010) Recent trends in PEM fuel cell-powered hybrid systems: Investigation of application areas, design architectures and energy management approaches. 14(9), 2874-2884. https://doi.org/10.1016/j.rser.2010.07.060
R. Garcia-Blanco, P. Díez, D. Borzacchiello, F. Chinesta (2018) Algebraic and parametric solvers for the power flow problem: towards real-time and accuracy-guaranteed simulation of electric systems. 25(4), 1003-1026. https://doi.org/10.1007/s11831-017-9223-6
F. Giraud, Z. M. Salameh (2001) Steady-state performance of a grid-connected rooftop hybrid wind-photovoltaic power system with battery storage. 16(1), 1-7. https://doi.org/10.1109/60.911395
M. B. Gunes, M. W. Ellis (2001) Evaluation of Fuel Cell Based Combined Heat and Power Systems for Residential Applications. 35524, 417-428. https://doi.org/10.1115/IMECE2001/AES-23651
D. K. John, S. Davis (2018) Integrated flyback converter with MPPT control for photovoltaic applications. 4(2), 33-40. https://doi.org/10.37628/ijpecc.v4i2.903
D. S. Karanjkar, S. Chatterji, S. L. Shimi, A. Kumar (2014) Real time simulation and analysis of maximum power point tracking (MPPT) techniques for solar photo-voltaic system. 1-6. https://doi.org/10.1109/RAECS.2014.6799656
M. J. Khan (2021) Review of recent trends in optimization techniques for hybrid renewable energy system. 28(3), 1459-1469. https://doi.org/10.1007/s11831-020-09424-2
M. J. Khan, L. Mathew (2018) Comparative analysis of maximum power point tracking controller for wind energy system. 105(9), 1535-1550. https://doi.org/10.1080/00207217.2018.1461251
M. J. Khan, L. Mathew (2020) Comparative study of optimization techniques for renewable energy system. 27, 351-360. https://doi.org/10.1007/s11831-018-09306-8
H. Li, D. Yang, W. Su, J. Lü, X. Yu (2019) An overall distribution particle swarm optimization MPPT algorithm for photovoltaic system under partial shading. 66(1), 265-275. https://doi.org/10.1109/tie.2018.2829668
N. M. Sammes, R. Boersma (2000) Small-scale fuel cells for residential applications. 86(1-2), 98-110. https://doi.org/10.1016/s0378-7753(99)00415-2
F. Valenciaga, P. F. Puleston (2005) Supervisor control for a stand-alone hybrid generation system using wind and photovoltaic energy. 20(2), 398-405. https://doi.org/10.1109/tec.2005.845524
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Authors and Global Journals Private Limited

This work is licensed under a Creative Commons Attribution 4.0 International License.
