Intelligent early warning system for power theft in distribution network based on IOT technology

Haitao Liang; Jincai Wu

doi:10.1117/12.2683888

14 June 2023 Intelligent early warning system for power theft in distribution network based on IOT technology

Haitao Liang, Jincai Wu

Proceedings Volume 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）; 127081I (2023) https://doi.org/10.1117/12.2683888
Event: 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 2023, Chongqing, China

Abstract

Because the existing methods ignore the influence of the boundary characteristics of the disturbance stability region, the early warning effect is not good. For this reason, an intelligent early warning system for power theft in distribution network based on Internet of Things technology is proposed. The hardware part of the system is composed of monitoring module, human-machine monitoring module and early warning display module, which eliminates interference data and noise data and improves the accuracy of finding abnormal grids. In the software part of the system, the boundary characteristics of the stability region of the electric theft risk are extracted, and the big data parameter fusion model of the risk assessment is established to achieve the quantitative assessment and decision-making of the theft risk. Finally, the improved equivalent resistance method is used to calculate the theoretical line loss of the distribution line characteristics, analyze the fluctuation of the parallel line loss, and then compare the time coincidence of the line loss and the change point of the current difference curve with Pearson correlation coefficient to realize the identification of the power theft risk, further improving the accuracy of the early warning. The experimental results show that when the method is applied to the early warning of electricity theft, the MAPE value of the system is less than 0.1%, which has a better early warning accuracy.

Citation Download Citation

Haitao Liang and Jincai Wu "Intelligent early warning system for power theft in distribution network based on IOT technology", Proc. SPIE 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 127081I (14 June 2023); https://doi.org/10.1117/12.2683888

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