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
    Enhanced two-terminal impedance-based fault location using sequence values
    ( 2023-04-01)
    Muhd Hafizi Idris
    ;
    Mohd Rafi Adzman
    ;
    Mokhlis H.
    ;
    Awalin L.J.
    ;
    Mohammad Faridun Naim Tajuddin
    Fault at transmission line system may lead to major impacts such as power quality problems and cascading failure in the grid system. Thus, it is very important to locate it fast so that suitable solution can be taken to ensure power system stability can be retained. The complexity of the transmission line however makes the fault point identification a challenging task. This paper proposes an enhanced fault detection and location method using positive and negative-sequence values of current and voltage, taken at both local and remote terminals. The fault detection is based on comparison between the total fault current with currents combination during the pre-fault time. While the fault location algorithm was developed using an impedance-based method and the estimated fault location was taken at two cycles after fault detection. Various fault types, fault resistances and fault locations have been tested in order to verify the performance of the proposed method. The developed algorithms have successfully detected all faults within high accuracy. Based on the obtained results, the estimated fault locations are not affected by fault resistance and line charging current. Furthermore, the proposed method able to detect fault location without the needs to know the fault type.
  • 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
    Impacts of albedo and atmospheric conditions on the efficiency of solar energy: a case study in temperate climate of Choman, Iraq
    ( 2021-01-01)
    Aziz A.S.
    ;
    Mohammad Faridun Naim Tajuddin
    ;
    Mohd Rafi Adzman
    ;
    Ramli M.A.M.
    Temperature and solar radiation have large effects on the performance of photovoltaic (PV) systems. PV cell temperature is related to the ambient temperature, while the solar radiation incident on PV surface depends on the slope and azimuth of the PV panels. Furthermore, ground reflectance (albedo) affects the solar radiation incident on the PV surface and hence influences its performance. Nevertheless, the impact of some important factors on the PV performance such as the ground reflectance at different tilt angles and temperature coefficient of power under Middle East (temperate) climatic conditions are scarcely reported. In this research paper, a techno-economic analysis has been done to investigate the impact of temperature, tilt and azimuth angles, and ground reflectance on the performance of solar energy system. HOMER software was used as a tool in this study where Choman, Iraq, was selected as a case study. The results indicate that with a base case (temperature coefficient of − 0.48%/ Â°C, albedo of 20% and ambient temperature of 11 Â°C), facing the PV to south with a tilt angle of 40° or 45° results in the most economical system by having net present cost of $70595 and cost of energy of $0.54/kWh. Furthermore, PV modules with high sensitivity to temperature are found to be an attractive option based on Choman ambient temperature. Meanwhile, increasing the ground reflectance from 10 to 90% results in an increase of the annual optimum tilt angle from 38° to 52° and a decrease of the PV required capacity from 20.8 to 19.4 kW (for temperature coefficient of − 0.48%/ Â°C). The results prove that the studied parameters must be treated well to establish an enabling environment for PV development in Iraq.
  • Publication
    Effect on Current Density on Zero Charge Corrosion Protection of Pure Mg in 3.5% NaCl Solution
    ( 2021-11-12)
    Gunasilan M.
    ;
    Shaiful Rizam Shamsudin
    ;
    Mohd Rafi Adzman
    ;
    Salleh S.H.M.
    ;
    Sanusi M.S.
    ;
    Ahmad W.M.H.W.
    The cathodic protection uses two-electrode polarization, which requires large currents and substantial voltages. Efforts are being made to identify possibilities for improvements by developing zero-charge corrosion protection techniques. Studies were performed to determine the zero-charges potential effect by analyzing corrosion signs on reactive metal samples such as pure Mg. Mg samples were fed by current/voltage pulses for 120 hours, with specified pulse parameters and varied Ecorr- offsets, ranging from +2 to -218 mV. The volumetric hydrogen gas collection technique is used to determine the hydrogen evolution rate. Surface observation is carried out by stereomicroscope to determine the presence of corrosion signs on the sample surface. Overall, all current densities and hydrogen evolution rates had very low readings on the studied Ecor offset parameters. Mg samples fed with pulses at -1800 and -1900 mV vs SCE revealed zero charge potential effects since their surface was clean and showed no indications of corrosion even after being exposed to the corrosive solution for 120 hours. Thus, corrosion protection is successfully done and meets the Epzc condition.
  • 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
    Neural Network based Transmission Line Fault Classifier and Locator using Sequence Values
    ( 2023-01-01)
    Muhd Hafizi Idris
    ;
    Mohd Rafi Adzman
    Faults can easily occur at transmission line because the line is exposed to the environment. The fast fault location after a fault occurrence will minimize the time to repair the faulty part thus reduce the stress of power system due to long outage time. This paper demonstrates the development of fault classifier and fault locator using neural network. The positive, negative and zero sequence values of three-phase voltage and current during fault time were used as the inputs to train the neural networks. Various fault conditions which have different fault types, fault resistance values and fault locations have been simulated to generate the training data for both neural network based fault classifier and fault locator. From the results, the fault classifier and locator successfully classified and located all the simulated fault conditions. One of the advantages of using sequence values as the inputs for the neural networks is only one fault type need to be simulated and used as the training data for single line-to-ground fault (RG, YG and BG), line-to-line fault (RY, YB, BR) and double line-to-ground fault (RYG, YBG, BRG).