Non-invasive load monitoring method, device and equipment as well as storage medium

Abstract

The invention discloses a non-invasive load monitoring method, device and equipment as well as a storage medium. The method comprises the following steps: selecting a plurality of different load conditions, and acquiring characteristic values of the load conditions, wherein the characteristic values comprise steady state fundamental wave active power in the load conditions and amplitude of an oddharmonic of a steady state harmonic current; establishing a load characteristic database; and selecting a globally optimal extreme value and a globally optimal position of the characteristic values byutilizing a binary particle swarm optimization algorithm, and constructing a load condition recognition algorithm. The method disclosed by the invention performs active power estimation by utilizingthe load characteristic database and the load condition recognition algorithm, outputs a load structure corresponding to the current load condition, utilizes the steady state fundamental wave active power and the amplitude of the odd harmonic of the steady state harmonic current as the characteristic values, can rapidly recognize different load types from the total current and reduces calculated amount of a system during load recognition.

Description

technical field [0001] The invention relates to the technical field of smart grid advanced measurement systems, in particular to a non-invasive load monitoring method, device, equipment and storage medium. Background technique [0002] With the continuous improvement of people's living standards, the rapid growth of urban and rural electricity consumption has become an important component of the peak load and even the peak load of the power grid, which has brought challenges to the safe operation of the power grid. The establishment of an advanced measurement system and the popularization of smart appliances in households have created conditions for residential users to participate in friendly interactions such as power grid peak regulation. Therefore, the detailed analysis of residential electricity consumption behavior using residential electricity consumption data is the basis for realizing the potential of demand response. [0003] Compared with intrusive load monitorin...

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Problems solved by technology

[0003] Compared with intrusive load monitoring, which requires a large amount of large-area installation equipment, large investment, and poor friendliness, non-intrusive load monitoring only needs to install a load monitoring device at the user's power entrance to identify the load and decompose the power consumption behavior to obtain the user's internal information. Accurate electricity consumption information for various electrical appliances

[0004] Common home appliance loads are usually divided into linear loads and nonlinear loads. Linear loads have less harmonic content during operation, while nonlinear loads have higher harmonic content. As a result, the accuracy of current non-intrusive load monitoring is affected by the Different load equipment fluctuates, the system accuracy is reduced, and the universality is not high

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