Development of smart online partial discharge monitoring system for medium voltage power cable

Abdullah, Andi Zulkifli; Isa, Muzamir; Rohani, Mohamad Nur Khairul Hafizi; Jamalil, Syed; Abdullah, A. Nazifah; Azizan, N.

doi:10.11591/ijpeds.v10.i4.pp2190-2197

Cited by 5 publications

(4 citation statements)

References 17 publications

(18 reference statements)

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“…The need for saving electrical energy in addition to saving costs, also preventing the occurrence of electricity supply crises, namely by making monitoring devices that can be controlled remotely in previous studies that have been made and are currently being added with other features, namely power factor improvements [2] . The importance of improving the power factor that does not meet the minimum factor value limit set by PLN is 0.85 so that it can have an impact on the possibility of being subject to kVAR fines by PLN and making the electrical system less than optimal due to high reactive power consumption so that the capacity of the electricity network is reduced [3 ] . A small power factor results in large currents and larger losses.…”

Section: Introductionmentioning

confidence: 99%

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2022

Int. J. Sci. Technol. Res. Arch

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The current electricity crisis is caused by the following things; The consumption of electrical energy continues to increase, the supply of electrical energy is limited, there is often a waste of electrical energy due to the use of electrical energy that should not be used (wasteful), as well as the need for electrical energy control that can control the electrical load remotely, and the power factor is lacking. Both resulting in reactive power losses and resulting in an increase in electric current which will have an impact on higher conductor energy losses. It has been discussed a lot, but in reality it still happens a lot, it is necessary to save electrical energy in addition to saving costs but also preventing a power supply crisis by making monitoring tools and power factor improvements that can be controlled remotely based on IoT. This study aims to design and design an automatic power factor monitoring and improvement tool for industry in real time based on the internet of things starting from architecture, display monitors and hardware systems as well as conducting feasibility testing. The method used in this study is the ADDIE method (Analysis, Design, Development, Implementation, and Evaluation) through a literature review and analysis approach. The results of this study are expected to provide appropriate design recommendations and have system and material advantages and to be implemented. The impact of this research is that future research will be much better because in this study a feasibility test of the system has been carried out by conducting simulation trials.

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Section: Introductionmentioning

confidence: 99%

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2022

Int. J. Sci. Technol. Res. Arch

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“…The ends of the cable are returned to their original positions so that both ends of the cable are at the same point. The wire that returns to its initial position is named by Return Wire, whereas in this paper, it is called Back Wire [15][16][17][18][19][20][21][22]. In a single-phase measurement, there is usually no disturbing external flux, as well as a three-phase circuit that is symmetrically mounted.…”

Section: Introductionmentioning

confidence: 99%

Rogowski coil sensor in the digitization process to detect partial discharge

et al. 2020

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This paper presents the construction of a Rogowski Coil sensor with an air core to detect partial discharge using a digital oscilloscope. Two types of sensors are used. The first is the primary sensor winding with back wire, and the second is without back wire, labeled BW and WBW, respectively. The numbers of primary-turn in the sensors are 5, 10, 20, and 40 turns. The performance of the sensors is tested using two types of tests. First, the wave response test with a fixed imitation partial discharge magnitude input is used to select the optimum sensitivity with the lower sampling rate, aims to select the peak or valley value as a magnitude partial discharge value. The second test is using an imitation partial discharge ramp to check the linearity of the sensors. The imitation of the partial discharge inputs is generated by a commercial charge calibrator. The wave response test results show an increase in the number of turns that corresponds to an increase of the sensor output for both sensors in a non-linear trend. In determining the sampling rate, the detection of magnitude in the valley is better than the peak. All sensors act linear toward the imitation partial discharge ramp either in BW or WBW conditions.

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“…At present, the traditional PD sensors are saturated, tremendous, bulky, low sensitivity, and high cost compared to Rogowski coils (RC), such as High-Frequency Current Transformer (HFCT) and Coupling Capacitor (CC) [22]. The PD behavior will be measured by the current pulse when the RC is clamped around the supply cable [6,23]. Whereas online measurements also have drawbacks, such as the need to collect data manually and take an enormous amount of time and human power [24][25].…”

Section: Introductionmentioning

confidence: 99%

Modelling and simulation of online partial discharge measurement for medium voltage power cable

et al. 2020

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This paper presents the modelling of the online partial discharge (PD) measurement of the medium voltage (MV) power cable. Recently, PD monitoring trends are rapidly increasing due to high demand on reliable systems. Degradation are mainly due to the presence of PD in the high voltage power equipment used. PD measurement is therefore a highly recommended task to early detection of the degradation insulation for high voltage (HV) equipment in order to avoid breakdowns. Real network modelling is necessary to improvise system design in order to find the efficiency in a real power system network. In this paper, modelling focuses on a real distribution network by applying Rogowski coil (RC) as a detection sensor to trigger PD activity. The simulation is performed to determine the functionality and reliability of the system with the RC application in the network. The analysis is performed in the ATP-EMTP and MATLAB Simulink software environments. In addition, this paper contributed to justify the approach of a simplified PD sensor and measurement system. This PD measurement system provides a complete solution in the context of condition-oriented monitoring for the ability to apply the RC to trigger PD activity in the power distribution network.

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Development of smart online partial discharge monitoring system for medium voltage power cable

Cited by 5 publications

References 17 publications

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Rogowski coil sensor in the digitization process to detect partial discharge

Modelling and simulation of online partial discharge measurement for medium voltage power cable

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