Electricity stealing behavior identification method and device based on non-invasion load monitoring

Abstract

The invention provides an electricity stealing behavior identification method and device based on non-invasion load monitoring. By monitoring the current and voltage of electrical appliances, the kindand operation condition of a single load under the condition that the electrical appliances are simultaneously started in an internal load cluster can be obtained through analysis, wherein the operation condition comprises specific electricity consumption and starting and closing time records of the electrical appliances in different time starting periods. According to the method, by using parameter curves and power steady-state change, power transient-state change and power steady-state fluctuation characteristics of the electrical appliances, starting and closing time of the electrical appliances is decomposed from the total current and total voltage, electrical energy metering is conducted, and an obtained result is compared with an electric meter result for judging whether or not electricity stealing occurs. Through the above design, an effective and convenient mode is provided, the electricity stealing behavior is monitored and identified, an effective energy-saving measure is taken, so that the effective electricity utilization rate is maximized, the unnecessary loss and the illegal electricity stealing behavior are reduced, and collected electricity utilization data can provide data support for monitoring and development of future power.

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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