Mohd Alif Ismail
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Preferred name
Mohd Alif Ismail
Official Name
Mohd Alif , Ismail
Alternative Name
Alif Ismail, Mohd
Ismail, Mohd Alif
Ismail, M. A.
Main Affiliation
Scopus Author ID
55863353800
Researcher ID
DSD-2793-2022

Research Output

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Design of MPPT charge controller using zeta converter for battery integrated with solar Photovoltaic (PV) system

2020-01-07 , Kumuthawathe Ananda-Rao , Matar Y. , Nor Hanisah Baharudin , Mohd Alif Ismail , Muiez Abdullah A.

In this work, the advantage of using Maximum Power Point Tracking (MPPT) algorithm in solar Photovoltaic (PV) system was investigated. By simulation, the performance and efficiency of the system with and without the tracking algorithm was analyzed. By using MATLAB's SimPower System block set, a model compromised of KC130TM solar panel powering a Zeta converter controlled by MPPT algorithm driving a lead acid battery as a load was designed. The main objective was to track the Maximum Power Point (MPP) of the solar PV module by modulating the zeta converter's duty cycle, thereby, optimizing the power output of the panel. The Perturb and Observe (P&O) algorithm preformed with higher overall efficiency compared with the system without MPPT. Additionally, the tracking algorithm was able to track the MPP quickly. The analysis of the algorithm led to a greater understanding of where the inefficiencies of this type of system are located, allowing improvement in future work on this field.

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Publication

A Potential Controller for Smart Electrical Energy Management System

2021-06-11 , Kumuthawathe Ananda-Rao , Mohd Alif Ismail , Afifah Shuhada Rosmi , Leow Wai Zhe , Surina Mat Suboh , Muhammad Izuan Fahmi Romli , Abdullah A.M.

Integrated energy utilization has been recognized as a productive way towards better energy management, besides increasing Renewable Energy (RE) penetration. Thus, the combination of RE integrated with the Battery Energy Storage System (BESS) has been recognized as the primary solution where it is necessary to have a controller to interface the system efficiently. Hence, a smart electrical energy management system controller is designed and developed based on load leveling and peak shaving applications for real-time AC power management in this work. The main function of the controller is to continuously monitor and maintain the load demand and to produce a leveled or shaved load profile that will be seen at the grid network by controlling the battery operation. The testing results concluded that the controller able to perform both the energy applications. Overall, a dual function controller based on energy applications to maintain consumer load demand usage more securely and reliably, so that the utility bill is reduced and the battery lifetime is prolonged simultaneously is achieved in this work.

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Improving the performance of solar panels by the used of dual axis solar tracking system with mirror reflection

2020-01-07 , Mohd Alif Ismail , Ramanathan K.A. , Muhd Hafizi Idris , Kumuthawathe Ananda-Rao , Mazwin Mazlan , Nur Fairuz Mohamed Yusof

This work proposes the dual axis solar tracker with mirror reflection for optimum output of solar panel by using arduino unoR3 as the control unit. The objectives of this work are to track and optimize the maximum output power of the solar panel by designing and developing a dual axis solar tracker with mirror reflection. The system includes a 10 watt solar panel, an arduino unoR3 and a customized mechanical body to carry the solar panel. This system will track and detect the angle of the sun to locate the surface of solar panel at the position and the angle where it can get maximum amount of energy. The sensors will detect the position of the sun and servo motors act as free moving neck to make it easier to move freely depending on the angle detected. The Light Depending Resistor (LDR) will be used in tracking system. These LDR will detect the existence of sunlight and therefore the mechanical hardware will move horizontal and vertical axis depending on the value of LDR detected to follow the angular degree of sun in order to get maximum and best result of absorbing energy. The final result obtained from dual axis solar tracker showed that the output power has been maximized compared to stationary panel. Based on the experimental result, it show that the designed system successful improve the performance of the solar panel.

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