Mohd Rafi Adzman
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Preferred name
Mohd Rafi Adzman
Official Name
Mohd Rafi , Adzman
Alternative Name
Adzman, M. R.
Adzman, Mohd Rafi Bin
Adzman, Mohd Rafi
Main Affiliation
Scopus Author ID
16833392100
Researcher ID
AAF-8313-2019
F-8971-2017

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  • Publication
    A Review of Fuel Cell to Distribution Network Interface Using D-FACTS: Technical Challenges and Interconnection Trends
    ( 2021-09-01)
    Khaleel M.M.
    ;
    Mohd Rafi Adzman
    ;
    Samila Mat Zali
    ;
    Graisa M.M.
    ;
    Ahmed A.A.
    Today, the worldwide public interest in reducing power quality issues and greenhouse gas emissions is a key driver to study fuel cells (FCs) connected to distribution network systems (DNs) based on distributed flexible alternating-current transmission systems (D-FACTS). DNs will need to develop a better performance on Power Quality (PQ) while providing a more efficient energy technology. This study reviewed in-depth the interface of DN to FC systems. By focusing on the FC interface and the associated technical challenges, this review may help reduce the risk of DNs, minimizing the consumption of fossil fuels for power generation, lowering the emission of hazardous gases while dramatically increasing electrical power loads, improving PQ and stability. Besides, the study deliberated aspects of FC power technology with DNs interfacing based on D-FACTS. Specifically, the discussion encompassed the configuration structures of FC power technology and DNs connection based on D-FACTS, technical challenges of DNs, and its trends to determine the diagnosis, integration, and optimization for FC power technology.
  • Publication
    Evaluation of fault location algorithm in distribution power system lines using differential equation method with fault indicator approach
    ( 2022-01-01)
    Izatti Md Amin
    ;
    Mohd Rafi Adzman
    A malfunction in any electrical system network will eventually happen. Damage and minor problems are less likely to develop if a problem can be resolved quickly. As a general rule, fault location is a procedure of aiming the location fault at the maximum feasible accuracy. In order to locate faults in distribution lines for multi-ended power systems, this work provides a single line to ground (SLG) fault location algorithm employing a differential equation (DE) with a fault indication approach. The overall distribution lines modelcombines the generalized compact models of all homogenous line sections. Furthermore, this study approached fault indicator equipment as an indicator during every section fault. Hence, the ATP Draw has simulated the medium voltage distribution linesconsisting of overhead lines (OHL) and multiple underground cable lines (UCL). The evaluation of the method considered the parameter of fault resistance, fault distance, and fault inception angle. The results show that the fault location algorithm using DE fault location algorithm with fault indicator information produced the most accurate result.
  • Publication
    A Hybrid Optimization Approach for Power Loss Reduction and Voltage Profile Improvement in Distribution System
    ( 2022-01-01)
    Noor Najwa Husnaini Mohammad Husni
    ;
    Siti Rafidah Abdul Rahim
    ;
    Mohd Rafi Adzman
    In the past decades, the electrical power system is designed and developed to satisfy the owner demand that continuously appears in many variations. Hence, engineers have put their full effort to solve the problem associated with electrical power systems that come and might arise in the future. Therefore, distributed generation (DG) has been introduced to solve multiple electrical power system problems. The proposed methodology presented in this study focuses on minimizing network power losses, improving the voltage profile of system operation, and security constraints in a distribution. It is known that the location and capacity of DG play significant roles in the system losses in a distribution system. A hybrid metaheuristic nature-inspired algorithm is presented in this study for optimal location and sizing of multiple DG units. The best location and optimal sizing of DGs will be determined through Hybrid metaheuristic of Artificial Immune System Firefly Algorithm (AISFA). The designated technique will be tested into IEEE-69 test system using MATLAB software. For reducing the power losses, the simulation results have shown that bus 61 is the best location for reducing power losses and improving voltage profile in IEEE-69 test system in the preliminary result. By installing DG at bus 61, the real power losses improve about 89%, with a voltage profile improvement index up to 1.249099.
  • Publication
    Modeling and Simulation of Metal Oxide Surge Arresters Models by using ATPDraw Software
    ( 2023-01-01)
    Mohd Rafi Adzman
    ;
    Ting K.X.
    ;
    Shaiful Rizam Shamsudin
    ;
    Gunasilan M.
    Lightning is a natural phenomenon that occurs quite often, especially in Malaysia. Lightning is very dangerous as the voltage of the lightning is very high which can affect human daily living by damaging the electrical and electronic components. Thus, the study of lightning surges is essential in order to coordinate insulation to the electric power system. The function of the surge protection device (SPD) is to divert the surge current from the distribution line. This paper performed a comparison performance of simplified modeling of metal oxide surge arrester (MOSA). The typical models of the surge protection devices (SPDs) such as the IEEE and Pinceti model were modeled and simulated using the ATPDraw software and the performance of those model were studied with several manufacturer surge arresters. The MATLAB software was used to obtain the results on the impulse voltage signal of the SPDs. Both models' performances are being investigated, and MATLAB has been used to examine the voltage data. According to the findings, the IEEE model is more effective for usage as a lightning arrester in MV networks.
  • Publication
    Fault localization and detection in medium voltage distribution network using adaptive neuro-fuzzy inference system (anfis)
    ( 2021-01-01)
    Jamili N.S.B.
    ;
    Mohd Rafi Adzman
    ;
    Salman W.S.A.W.
    ;
    Muhd Hafizi Idris
    ;
    Melaty binti Amirruddin
    This paper provides an overview method of ANFIS to improve the performance of locating and detecting a single line to ground fault in medium voltage (MV) distribution power system network. For this research, the proposed method used faulted current signals from the network as an input in ANFIS to obtain the expected fault location and detection. In order to accurately locate the faults in the network, an ANFIS was trained and tested using various sets of data, which was obtained from the simulation of faults at various fault scenarios such as inception angle, load, fault location, and fault resistance. Based on the result obtain, the fault distance, major and minor branch of the single line to ground fault can be located with minimal error.
  • Publication
    An integrated of hydrogen fuel cell to distribution network system: Challenging and opportunity for D-STATCOM
    ( 2021-11-01)
    Khaleel M.M.
    ;
    Mohd Rafi Adzman
    ;
    Samila Mat Zali
    The electric power industry sector has become increasingly aware of how counterproduc-tive voltage sag affects distribution network systems (DNS). The voltage sag backfires disastrously at the demand load side and affects equipment in DNS. To settle the voltage sag issue, this paper achieved its primary purpose to mitigate the voltage sag based on integrating a hydrogen fuel cell (HFC) with the DNS using a distribution static synchronous compensator (D-STATCOM) system. Besides, this paper discusses the challenges and opportunities of D-STATCOM in DNS. In this paper, using HFC is well-designed, modeled, and simulated to mitigate the voltage sag in DNS with a positive impact on the environment and an immediate response to the issue of the injection of voltage. Furthermore, this modeling and controller are particularly suitable in terms of cost-effectiveness as well as reliability based on the adaptive network fuzzy inference system (ANFIS), fuzzy logic system (FLC), and proportional–integral (P-I). The effectiveness of the MATLAB simulation is confirmed by implementing the system and carrying out a DNS connection, obtaining efficiencies over 94.5% at three-phase fault for values of injection voltage in HFC D-STATCOM using a P-I controller. Moreover, the HFC D-STATCOM using FLC proved capable of supporting the network by 97.00%. The HFC D-STATCOM based ANFIS proved capable of supporting the network by 98.00% in the DNS.
  • Publication
    Feasibility analysis of grid-connected and islanded operation of a solar PV microgrid system: A case study of Iraq
    ( 2020-01-15)
    Aziz A.S.
    ;
    Mohammad Faridun Naim Tajuddin
    ;
    Mohd Rafi Adzman
    ;
    Mohd Fayzul Mohammed
    ;
    Ramli M.A.M.
    Iraq has massive potential for electricity generation from solar energy. Because the country currently suffers from daily electricity shortages, a grid-connected PV system is an unsuitable option since the PV cannot serve the load during the electricity blackouts. This paper aims to analyze the techno-economic and environmental feasibility of a solar PV microgrid system which is able to supply the load during both grid availability and outage periods. A household in Baghdad was selected as a case study. HOMER software was used to carry out the overall analysis using five different control strategies. The results indicated that the most economical configuration was achieved by allowing the grid to charge the batteries at all rates, with a net present cost (NPC) of $29,713. A sustainability assessment revealed that preventing the grid from charging the battery resulted in the highest renewable fraction and the lowest CO2 emissions with 64.9% and 4533 kg/year, respectively. Furthermore, inserting a diesel generator to an economically optimized system was found to reduce the NPC by 11.6%, while increasing the CO2 emissions by 32.7%. This study showed that implementing this sort of project can provide clean, economical, and continuous electricity production in countries with daily blackouts.
  • Publication
    Cost of Energy Losses for Distributed Generation Using Hybrid Evolutionary Programming-Firefly Algorithm
    ( 2021-12-01)
    Noor Najwa Husnaini Mohammad Husni
    ;
    Siti Rafidah Abdul Rahim
    ;
    Mohd Rafi Adzman
    ;
    Muhamad Hatta Hussain
    ;
    Musirin I.
    The cost of energy losses analysis for distributed generation (DG) is presented in this paper using a Hybrid Evolutionary Programming-Firefly Algorithm (EPFA). The proposed method was created to determine the optimal DG sizing in the distribution system while accounting for the system's energy losses. This study presents an investigation into hybrid optimization techniques for DG capabilities and optimal operating strategies in distribution systems. The objectives of this study were to reduce the cost of energy losses while increasing the voltage profile and minimize distribution system losses. In this study, the analysis was done by consider DG type I which is DG-PV. The suggested methodology was tested using the IEEE 69-bus test system, and the simulation was written in the MATLAB programming language. Power system planners can use appropriate location and sizing from the results obtained for utility planning in terms of economic considerations. From the simulation, the result shows the proposed method can identify the suitable sizing of DG while reduce cost of energy losses and total losses in the system.
  • Publication
    A hybrid multi-objective Evolutionary Programming-Firefly Algorithm for different type of Distributed Generation in distribution system
    ( 2022-12-01)
    Noor Najwa Husnaini Mohammad Husni
    ;
    Siti Rafidah Abdul Rahim
    ;
    Mohd Rafi Adzman
    ;
    Hussain M.H.
    ;
    Musirin I.
    ;
    Syahrul Ashikin Azmi
    With the rise in electricity demand, various additional sources of generation, known as Distributed Generation (DG), have been introduced to boost the performance of power systems. A hybrid multi-objective Evolutionary Programming-Firefly Algorithm (MOEPFA) technique is presented in this study for solving multi-objective power system problems which are minimizing total active and reactive power losses and improving voltage profile while considering the cost of energy losses. This MOEPFA is developed by embedding Firefly Algorithm (FA) features into the conventional EP method. The analysis in this study considered DG with 4 different scenarios. Scenario 1 is the base case or without DG, scenario 2 is for DG with injected active power, scenario 3 is for DG injected with reactive power only and scenario 4 is for DG injected with both active and reactive power. The IEEE 69-bus test system is applied to validate the suggested technique.
  • Publication
    Influence of flow accelerated corrosion on corrosion protection of mild steel in 3.5% NaCl solution
    ( 2024-03-07)
    Mahalaksmi Gunasilan
    ;
    Shaiful Rizam Shamsudin
    ;
    Mohd Rafi Adzman
    ;
    Siti Hawa Mohamed Salleh
    ;
    Wan Mohd Haqqi Wan Ahmad
    ;
    Mohamad K.A.A.K.
    Mild steel is a primary material used to construct ships and other maritime structures. Corrosion protection systems are sometimes ineffective in aqueous mediums subjected to movement, flow, waves, and even turbulence under unpredictable conditions. This study aims to ascertain the influence of flow velocity on mild steel corrosion in the aqueous medium. The mild steel samples are immersed in a 3.5% sodium chloride (NaCl) solution for five days. They were protected against corrosion using an impressed current cathodic protection (ICCP) system. The flow velocity is increased to 200-800 rpm, while the stationary flow is also examined as a control. Data on the metal's potential and current density were collected, and the surface morphology was analyzed using a stereomicroscope. Corrosion protection occurs exclusively in stationary flow, whereas corrosion occurs in solutions flowing at a most studied velocity. Metals show corrosion severity levels ranging from 200 to 600 rpm with increasing current consumption and metal potential. At 800 rpm, the metal surface appears to begin passivating, reducing the current consumption and potential. The flow velocity accelerates corrosion, yet at the high-speed stream, the corrosion is slowed because the steel surface becomes passive and assists the corrosion protection.