Muhd Hafizi Idris
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Preferred name
Muhd Hafizi Idris
Official Name
Muhd Hafizi, Idris
Alternative Name
Idris, Muhd Hafizi
Bin Idris, Muhd Hafizi
Idris, M. H.
Idris, Mohd Hafizi
Hafizi, Muhd
Hafizi Idris, Muhd
Main Affiliation
Scopus Author ID
55336452900
Researcher ID
E-5413-2011

Research Output

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  • Publication
    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.
  • 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
    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
    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).
  • Publication
    Differential equation fault location algorithm with harmonic effects in power system
    ( 2023-06-01)
    Amin I.M.
    ;
    Mohd Rafi Adzman
    ;
    Haziah Abdul Hamid
    ;
    Muhd Hafizi Idris
    ;
    Melaty binti Amirruddin
    ;
    Aliman O.
    About 80% of faults in the power system distribution are earth faults. Studies to find effective methods to identify and locate faults in distribution networks are still relevant, in addition to the presence of harmonic signals that distort waves and create deviations in the power system that can cause many problems to the protection relay. This study focuses on a single line-to-ground (SLG) fault location algorithm in a power system distribution network based on fundamental frequency measured using the differential equation method. The developed algorithm considers the presence of harmonics components in the simulation network. In this study, several filters were tested to obtain the lowest fault location error to reduce the effect of harmonic components on the developed fault location algorithm. The network model is simulated using the alternate transients program (ATP)Draw simulation program. Several fault scenarios have been implemented during the simulation, such as fault resistance, fault distance, and fault inception angle. The final results show that the proposed algorithm can estimate the fault distance successfully with an acceptable fault location error. Based on the simulation results, the differential equation continuous wavelet technique (CWT) filter-based algorithm produced an accurate fault location result with a mean average error (MAE) of less than 5%.
  • Publication
    Two-terminal fault detection and location for hybrid transmission circuit
    ( 2021-08-01)
    Muhd Hafizi Idris
    ;
    Mohd Rafi Adzman
    ;
    Mokhlis H.
    ;
    Mohammad Faridun Naim Tajuddin
    ;
    Haziah Abdul Hamid
    ;
    Melaty Amirruddin
    This paper presents the algorithms developed to detect and locate the faults at a hybrid circuit. First, the fault detection algorithm was developed using the comparison of total positive-sequence fault current between pre-fault and fault times to detect the occurrence of a fault. Then, the voltage check method was used to decide whether the fault occurred at overhead line (OHL) or cable section. Finally, the fault location algorithm using the impedance-based method and negative-sequence measurements from both terminals of the circuit were used to estimate the fault point from local terminal. From the tests of various fault conditions including different fault types, fault resistance and fault locations, the proposed method successfully detected all fault cases at around 1 cycle from fault initiation and with correct faulted section identification. Besides that, the fault location algorithm also has very accurate results of fault estimation with average error less than 1 km and 1%.
  • Publication
    Wireless IoT based overcurrent relay for transmission line protection
    ( 2021-10-29)
    Muhd Hafizi Idris
    ;
    Mohd Rafi Adzman
    ;
    Melaty Amirruddin
    ;
    Izatti Md Amin
    Typically, the relay must be wired from sensor terminals to relay terminals and from relay terminals to trip coils in the substation. This installation comes at a high cost to the utility since several relays are mounted in the substation to protect the transmission line, busbar, transformer, and other equipment. This article proposes a wireless Internet of Things (IoT) overcurrent relay that does not require the installation of wires to transmit measurements and signals from and to the relay. The relay scheme was developed using Matlab Simulink and the scheme model then was built and deployed into the Arduino Wi-Fi MKR 1010 which made the relay a standalone device. Simulink was also used to develop a transmission line system, and the simulation was performed in real-time. To exchange the data between transmission line and relay wirelessly, ThingSpeak platform was used as the cloud where the data are sent to and extracted from. From the real-time simulation, the relay successfully detected the set fault condition and sent the trip signal to open the circuit breaker. The result proves the feasibility of wireless relay to protect the power system. However, many other factors have to be considered and improved in the future to make wireless protection reliable and secure.
  • 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.
  • Publication
    Effect of distributed generation to the faults in medium voltage network using ATP-EMTP simulation
    ( 2021-01-01)
    Wan Syaza Ainaa Wan Salman
    ;
    Mohd Rafi Adzman
    ;
    Muzamir Isa
    ;
    Nur Syazlin Bakhtiar Jamili
    ;
    Muhd Hafizi Idris
    ;
    Melaty binti Amirruddin
    During past few years, distributed generation (DG) technology has been widely known in the industry as it can helps in providing backup power during high power demand. However, adding a new system may changes the traditional power system that are usually work in one direction which is from the generation to the consumer. When DG is added, the power flows from two direction. Therefore, a short circuit study was done to study the effects of DG to the local system during fault. An IEC Standard was also calculated as guidance to determine the thermally permissible of a cable.
      3  4
  • Publication
    Differential equation fault location algorithm with harmonic effects in power system
    ( 2023-06)
    Izatti Md. Amin
    ;
    Mohd Rafi Adzman
    ;
    Haziah Abdul Hamid
    ;
    Muhd Hafizi Idris
    ;
    Melaty binti Amirruddin
    ;
    Omar Aliman
    About 80% of faults in the power system distribution are earth faults. Studies to find effective methods to identify and locate faults in distribution networks are still relevant, in addition to the presence of harmonic signals that distort waves and create deviations in the power system that can cause many problems to the protection relay. This study focuses on a single line-to-ground (SLG) fault location algorithm in a power system distribution network based on fundamental frequency measured using the differential equation method. The developed algorithm considers the presence of harmonics components in the simulation network. In this study, several filters were tested to obtain the lowest fault location error to reduce the effect of harmonic components on the developed fault location algorithm. The network model is simulated using the alternate transients program (ATP)Draw simulation program. Several fault scenarios have been implemented during the simulation, such as fault resistance, fault distance, and fault inception angle. The final results show that the proposed algorithm can estimate the fault distance successfully with an acceptable fault location error. Based on the simulation results, the differential equation continuous wavelet technique (CWT) filter-based algorithm produced an accurate fault location result with a mean average error (MAE) of less than 5%.
      4  9