Melaty Amirruddin
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Preferred name
Melaty Amirruddin
Official Name
Melaty, Amirruddin
Alternative Name
Amirruddin, Melaty
Amirruddin, M.
Main Affiliation
Scopus Author ID
50461144000
Researcher ID
AAS-3797-2020

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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%.

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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.

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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%.

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