System Identification of a Solar Maximum Power Point Tracking System for Dual Axis
Noorazlina Mohamid Salih1, Mohd Shahrizan Mohd Said2, Nordiana Jamil3, Thomas Davion4, Aminatul Hawa Yahaya5

1Noorazlina Mohamid Salih, Marine Electrical Engineering Technology, Universiti Kuala Lumpur, Lumut, Perak, Malaysia.
2Mohd Shahrizan Mohd Said, Interior Architecture Department, Universiti Teknologi MARA, Seri Iskandar, Perak, Malaysia.
3Nordiana Jamil, Marine Electrical Engineering Technology, Universiti Kuala Lumpur, Lumut, Perak, Malaysia.
4Thomas Davion, Marine Electrical Engineering Technology, Universiti Kuala Lumpur
5Aminatul Hawa Yahaya, Universiti Kuala Lumpur – Malaysian Institute of Marine Engineering Technology,Lumut, Perak, Malaysia.

Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 5653-5657 | Volume-8 Issue-12, October 2019. | Retrieval Number: L39901081219/2019©BEIESP | DOI: 10.35940/ijitee.L3990.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The project is on Maximum efficiency of a solar panel. As the sun is not constant at one place and by fixing the solar array at one place, maximum power generation is not possible. This project develops a solar power generation system using maximum power point tracking system. More direct sun light on Photovoltaic (PV) modules leads to enhanced energy yield. Therefore, tracking systems are implemented to improve the performance of PV system by tracking sun trajectory. The current design of Maximum Power Point Tracking (MPPT) trackers are more efficient than conventional single state solar power generation. Then by comparing two designs initially produced, Maximum Power Point Tracking (MPPT) tracking devices are found to be at better efficiency than static models. The system locates maximum- power generating point using an MPPT controller. The base line results of this study were obtained via physical implementation of simulated system to analyze the various parameters. The system then uses a quadratic-equation based algorithm that calculates the quadratic function corresponding to the maximum power generation point. With the advent of different applications of PV solar power, system planners have been implementing different strategies and techniques to maximize the output of solar system with commonly available technology in market. Additionally, various mathematical techniques were utilized to analyze the results gathered from the physical implementation. The simulation results also implemented to compare between the hardware and software of the project. The comparison of static Photovoltaic output graphs with real time measured values for the systems and a Dynamic Photovoltaic Maximum power point Solar Tracker (MPPT) system was observed. Both PV systems were implemented practically to get appropriate results and mainly all the equipment and services utilized in installation are widely available in local market.
Keywords:  Maximum Power Point Tracking, Photovoltaic, Solar panel, Controller, Quadratic Function, Solar Tracker.
Scope of the Article: Renewable Energy Technology