Non-intrusive loading monitoring method and device

A load monitoring, non-intrusive technology, applied in the electric power field, which can solve the problems that it is difficult to effectively handle multi-working mode loads and put into use, and high requirements for equipment sampling frequency

Active Publication Date: 2016-11-09
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

[0004] The invention provides a non-invasive load monitoring method and device, which can solve the load monitoring problem that the existing non-invas...

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  • Non-intrusive loading monitoring method and device

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Embodiment Construction

[0030] Aiming at the problem that the existing non-intrusive load monitoring method requires high equipment sampling frequency and it is difficult to effectively handle multi-working mode loads into use, the present invention proposes a technical solution, using common smart meters on the market to collect electricity consumption data, and constructing a neural network-based The load decomposition model of neural network pattern recognition (NNPR) not only considers the characteristics of the load itself (current, active power, etc.), but also makes full use of the hidden power consumption information in the historical monitoring data to solve the existing The non-intrusive load monitoring method requires high equipment sampling frequency, and it is difficult to effectively deal with the problem of multi-working mode loads being put into use.

[0031] The main realization principles, specific implementation methods and corresponding beneficial effects of the technical solutions...

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Abstract

The invention discloses a non-intrusive loading monitoring method and device. The method comprises the following steps: obtaining the current summation and the active power summation of each sampling point of power utilization load to be monitored in a preset duration; taking the current summation and the active power summation as the input layer nodes of a neural network model; taking the working state of the power utilization load as the output layer node of the neural network model; according to sampling data obtained by monitoring in a set time period, training the neural network model; and through the trained neural network model, determining the working state of each piece of power utilization load in a next set duration. The method is used for solving the problems that an existing non-intrusive loading monitoring method has a high requirement on equipment sampling frequency and it is difficult to effectively process load monitoring when multi-work-pattern load is put into use.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a non-invasive load monitoring method and device. Background technique [0002] Residential users are an important consumer of a strong smart grid and an important part of a microgrid. Load monitoring technology can help users understand the usage of home appliances, improve users' awareness of participating in demand response, and promote users' scientific and rational use of electricity. In addition, load monitoring technology plays a key role in many smart grid application fields such as power demand side management, electricity theft supervision, and real-time electricity pricing. [0003] At present, load monitoring technology is mainly divided into two types: intrusive load monitoring and non-intrusive load monitoring. Among them, the intrusive load monitoring method needs to be equipped with sensors on each electrical appliance inside the total load. Although thi...

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Application Information

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IPC IPC(8): G06N3/08G06Q50/06
CPCG06N3/08G06Q50/06
Inventor 周晨轶刘松刘鹏
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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