Non-invasive load decomposition method based on sparse classifier hierarchical algorithm

Abstract

The invention discloses a non-intrusive load decomposition method based on a sparse classifier hierarchical algorithm. The method comprises the following steps: S1, acquiring voltage and current dataof an electric appliance; s2, calculating low-frequency active power, low-frequency reactive power and high-frequency current harmonics of the electric appliance; s3, performing clustering analysis; s4, constructing a feature dictionary; s5, constructing a sparse matrix; s6, performing power identification; s7, judging a result, and outputting a judgment result if the overlapping number in the judgment result is equal to 1; otherwise, executing the step S8; and S8, performing current harmonic identification and outputting an identification result. By adopting the non-intrusive load decomposition method based on the sparse classifier hierarchical algorithm, whether current harmonic identification is introduced or not can be determined by comprehensively considering active power identification and reactive power identification results of the electrical appliances when part of the electrical appliances with similar power exist in users, so it is ensured that when the power is similar, long-time and large-calculation-amount electric appliance identification does not need to be performed, and the electric appliance identification result can be guaranteed.

Description

technical field [0001] The invention relates to a smart grid technology, in particular to a non-intrusive load decomposition method based on a sparse classifier hierarchical algorithm. Background technique [0002] Smart power consumption is one of the important links of the smart grid and the core of the interactive service system. Its key technologies are mainly reflected in the advanced measurement system standard (Advanced Metering Infrastructure, AMI), system and terminal technology, and the two-way interactive operation mode of smart power consumption. and supporting technologies, as well as the interaction between the user's power consumption environment and power consumption mode. [0003] With the comprehensive popularization of AMI technology, it is possible to obtain users' fine-grained aggregation power, which provides an opportunity for in-depth mining of user load information. In the construction of smart grid, the perception and acquisition of user internal e...

AI Technical Summary

Problems solved by technology

Among them, low-frequency non-intrusive load decomposition usually requires a lot of prior knowledge to identify, which is difficult to achieve in practical applications

However, high-frequency load decomposition has a large amount of calculation and takes a long time to identify

And in view of the problems of electrical appliances with similar power at the user end, how to achieve the best recognition results while ensuring the decomposition time has become an urgent problem to be solved

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