A method and device for identifying electricity stealing behavior based on non-intrusive load monitoring

Abstract

The invention provides a method and device for identifying electricity stealing behavior based on non-intrusive load monitoring. By monitoring the current and voltage of electrical appliances, the type and operation status of a single load in an internal load cluster can be analyzed and obtained when electrical appliances are turned on at the same time. Including the specific power consumption of electrical appliances that are turned on at different times and the time records of turning on and off. The present invention utilizes the parameter curve of the electrical appliance and the characteristics of power steady-state change, power transient impact, and power steady-state fluctuation to decompose the electrical appliance and its opening and closing time from the total current and total voltage, and then performs electric energy measurement, and the electricity meter The results are compared to determine whether electricity is stolen. Through the above design, the present invention provides an effective and convenient way to monitor and identify electricity theft, formulate effective energy-saving measures, maximize the effective electricity consumption rate, reduce unnecessary losses and illegal acts of stealing electricity, The power consumption data collected at the same time can provide data support for the future development of power monitoring.

Description

technical field [0001] The invention belongs to the technical field of electricity theft prevention, and in particular relates to a method and device for identifying electricity theft behavior based on non-intrusive load monitoring. Background technique [0002] Power grid companies have become more lean in energy consumption management. We are paying more and more attention to energy consumption monitoring and anti-stealing technologies. Electric energy monitoring is the basis for rational energy distribution and energy conservation, and it is also a technology for preventing electricity theft. The optimal allocation of energy is of great significance to our realization of an energy-saving society. At present, my country's electric power monitoring system is relatively lagging behind the fast-growing electric power industry. Traditional monitoring systems often require a large number of hardware devices, online installation and measurement of sensors, etc., which not only ...

AI Technical Summary

Problems solved by technology

Its disadvantages: the investment is large, and the installation work needs to enter the load, which affects the normal production and life of power users, and is not suitable for comprehensive promotion

Its disadvantages: the monitoring system has high requirements on software and hardware, and cannot effectively track and decompose when a large number of different types of electrical equipment undergo state changes at the same time

[0005] As far as the current research technology is concerned, whether it is intrusive or non-intrusive load decomposition, there are certain defects. Therefore, we consider whether an effective and convenient way can be used to monitor and identify electricity theft, and to formulate effective energy-saving measures. Maximize the effective electricity utilization rate, reduce unnecessary losses and illegal acts of stealing electricity

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