Design and Development of An Efficient Power Theft Detection And Prevention System through Consumer Load Profiling

<p>The power distribution system applied in Indonesia is the radial system. The system is considered to be the simplest and most economical. The bad or good distribution of electrical power can be observed from the quality of the distribution of power supplied. Voltage has to be monitored and kept constant. An analysis was conducted at Bendul Merisi Feeder which has <br />11 buses, to find the value of supplied power also the value of voltage drop of each bus. The Simulink method is used to simulate and analyze active and reactive power at each cluster. Based on the result of the simulation analysis, the average was obtained by adding up electrical power received every hour, then dividing by 10, the number of buses connected to the load. The smallest average of active power supplied to each bus happened at 09.00 a.m., i.e. 112137.94 VA. The biggest value of active power supplied to each bus happened at 1.00 p.m., i.e. 115129.05 VA. The total voltage drop that occurred in the distribution supply was 224 volts or 1.12% out of 20 kV supplied, indicating that the supply of voltage was according to the standardized rule implemented by PLN (State Electricity Company), i.e. the voltage drop should not exceed the maximum of 10%.</p>

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“…Voltage drop V will be greater if the current flowing in the conductor is getting bigger. Voltage drop can be analyzed by (1).…”

Section: Voltage Dropmentioning

confidence: 99%

“…As a provider of electricity, it is not only generated but must be distributed to consumers. The distribution of electrical energy that starts from the electricity provider or generator and then continues with the transmission system and ends with the usage by consumers must be efficient, effective, and reliable [1].…”

Section: Introductionmentioning

confidence: 99%

Realtime hybrid offline-online power loss analysis-based Simulink simulation

Sulistyowati

Prawidya²,

Sujono³

2023

IJAPE

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“…To prevent tampering and power theft, the authors in [40] propose an automatic system that does not require human control to operate after installation. It consists of two consumer nodes that measure their consumption profile.…”

Section: Theftmentioning

confidence: 99%

Methods of identifying unauthorized customers in cryptocurrency mining of distribution networks-a review

Najafzadeh

Gholami

2022

2022 8th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS)

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“…Furthermore, Mujuzi [2], Yurtseven [3] stated that developing countries suffer the most because of the nature of their distribution setup, which only records consumption readings from the meter box inside a household. Shahid, et al [4] outlined common ways in which this theft occurs; these include line hooking, meter bypassing, and meter tempering.…”

Section: Introductionmentioning

confidence: 99%

Electricity Theft Detection and Prevention Using Technology-Based Models: A Systematic Literature Review

Kgaphola,

Marebane,

Hans

2024

Electricity

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Electricity theft comes with various disadvantages for power utilities, governments, businesses, and the general public. This continues despite the various solutions employed to detect and prevent it. Some of the disadvantages of electricity theft include revenue loss and load shedding, leading to a disruption in business operations. This study aimed to conduct a systematic literature review to identify what technology solutions have been offered to solve electricity theft and the effectiveness of those solutions by considering peer-reviewed empirical studies. The systematic literature review was undertaken following the guidelines for conducting a literature review in computer science to assess potential bias. A total of 11 journal articles published from 2012 to 2022 in SCOPUS, Science Direct, and Web of Science were analysed to reveal solutions, the type of theft addressed, and the success and limitations of the solutions. The findings show that the focus in research is channelled towards solving electricity theft in Smart Grids (SGs) and Advanced Metering Infrastructure (AMI); moreover, there is a neglect in the recent literature on finding solutions that can prevent electricity theft in countries that do not have SG and AMI installed. Although the results reported in this study are confined to the analysed research papers, the leading limitation in the selected studies, lack of real-life data for dishonest users. This study’s contribution is to show what technology solutions are prevalent in solving electricity theft in recent years and the effectiveness of such solutions.

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Design and Development of An Efficient Power Theft Detection And Prevention System through Consumer Load Profiling

Cited by 12 publications

References 2 publications

Realtime hybrid offline-online power loss analysis-based Simulink simulation

Realtime hybrid offline-online power loss analysis-based Simulink simulation

Methods of identifying unauthorized customers in cryptocurrency mining of distribution networks-a review

Electricity Theft Detection and Prevention Using Technology-Based Models: A Systematic Literature Review

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