Non-invasive load monitoring method and system based on current decomposition

Abstract

The invention provides non-invasive load monitoring method and system based on current decomposition. The method includes the steps of firstly, training each electrical device to obtain statistic manifolds of the electrical device respectively, and storing the statistic manifolds into a database; secondly, installing an acquisition unit at an inlet of a power grid, acquiring electrical data of all the electrical devices in real time, and converting the electrical data into vector representation of calculating statistic manifolds to acquire a vector set of total current; and thirdly, calculating statistic manifolds of the unit loading in the electrical devices respectively, and decomposing a total statistic manifold according to the statistic manifolds to acquire real-time current vectors of the electrical devices respectively. Acquired total current is directly decomposed to each device, detailed electrical information on related devices is calculated by current information directly instead of evaluating complex operation status, and accordingly accurate and detailed electrical information can be acquired.

Description

technical field [0001] The invention relates to the technical field of computer applications, in particular to a non-invasive load monitoring method and system based on current decomposition. Background technique [0002] In 2008, IBM proposed the concept of "Smart Earth", describing it as "more thorough perception, more comprehensive interconnection, and deeper intelligence". The US government also put smart grid as an important part of its "new energy rescue plan" on the agenda shortly after Smart Earth was proposed. Compared with the traditional grid that we are familiar with, the smart grid means to obtain as much information as possible, pay more attention to the interaction between users, and provide better services by analyzing information. User-end devices such as smart meters directly contact users and guide users' electricity consumption behaviors, which is an important manifestation of the difference between smart grids and traditional grids. By giving detailed ...

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Problems solved by technology

[0006] Although both of the above two technologies support non-intrusive load monitoring and meet the needs of user-end information collection in the smart grid field, both technologies make similar assumptions about electrical equipment: the equipment has a relatively stable operating state, and the After the running state, the detailed power consumption information of the equipment can be obtained according to the known information

With the progress of the times, the behavior of electrical equipment is becoming more and more flexible, making this assumption no longer applicable, and it is impossible to obtain accurate electricity consumption information

For example: in the same period of time, a computer running game programs consumes more power than simply browsing the web, and the difference between idle and busy power consumption may exceed 30%

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