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
    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
    A new optimization strategy for wind/diesel/battery hybrid energy system
    ( 2022-01-15)
    Aziz A.S.
    ;
    Mohammad Faridun Naim Tajuddin
    ;
    Hussain M.K.
    ;
    Mohd Rafi Adzman
    ;
    Nur Hafizah Ghazali
    ;
    Ramli M.A.M.
    ;
    Khalil Zidane T.E.
    HOMER software is a powerful tool for modeling and optimization of hybrid energy system (HES). The main two default control strategies in HOMER are load following (LF) and cycle charging (CC) strategies. In these strategies, the decision to use the generator or battery at each time step is made based on the lowest-cost choice. Therefore, these strategies are difficult to be implemented in practice especially in countries with continuous fuel price fluctuations. In this study, a new dispatch strategy based on HOMER-MATLAB Link Controller for an isolated wind/diesel/battery HES is proposed to overcome the limitations of the default HOMER strategies. A detailed technical, economic, and greenhouse gas emission analysis is presented for the system under LF, CC, and the proposed dispatch strategies. Besides offering more realistic optimization, the results show that the proposed strategy offers the best economic and environmental performance with a net present cost of $56473 and annual CO2 emissions of 6838 kg. Furthermore, the sensitivity analysis reveals that the proposed strategy is not affected by the fuel price variation, in opposite to LF, and CC strategies which is affected dramatically by this variation. The findings are of paramount importance towards more realistic and efficient energy management strategies.
  • Publication
    Arcing fault diagnosis using enhanced cross-correlation technique
    ( 2022-01-01)
    Melaty binti Amirruddin
    ;
    Mohd Rafi Adzman
    ;
    Nur Adyani Mohd Affendi
    ;
    Muhd Hafizi Idris
    ;
    Syahirah Abd Halim
    This study explored the potential use of cross-correlation as a technique for detecting arcing faults in a power system distribution network. The cross-correlation technique was employed to investigate the effect of each antenna placement as a detection device, time difference of arrival (TDOA), time delay, and correlation magnitude of arcing signals detected during on-line arcing fault measurement. The arcing fault was detected using four antennas that had been set up around the arc source point in a high voltage (HV) laboratory. The measurements were taken using a digital oscilloscope. For precise results, the Discrete Wavelet Transform (DWT) denoising technique combined with cross-correlation (CC) technique were applied using MATLAB software to identify the arcing signals detected in order to diagnose the differentiation between noisy and real arcing fault signals. Further assessment was carried out by performing a cross-correlation technique on the real arcing signals obtained to find the similarities and arrival time's delay between single arcing signals' placement. The outcome shows that all measurements including the time difference of arrival (TDOA), correlation magnitude, time delay, and antennas' placement towards the arcing source point are valuable in determining the arcing signals detected precisely.