Information acquisition module based on non-invasive load identification technology and control method thereof

Abstract

The invention discloses an information acquisition module based on a non-invasive load identification technology and a control method thereof. The information acquisition module comprises a main control board circuit as a main body. The signal transmission end of the main control board circuit is electrically connected with an upper computer; the power supply end of the main control board circuitis electrically connected with a live wire L and a zero wire N respectively; the output end of the main control board circuit is electrically connected with a display board circuit; and the main control board circuit comprises a main control chip circuit, a power supply circuit and an acquisition module, wherein the input end of the power supply circuit is electrically connected with the live wireL and the zero wire N respectively. According to the invention, a user can clearly know the expenditure condition of each electric appliance, so that the power utilization behavior is actively optimized, and the power grid demand is responded; and on the other hand, the response conditions of the resident users to different electricity price mechanisms can be researched, and relevant departmentscan design appropriate electricity price packages or incentive mechanisms for the resident users so as to guide the users to participate in peak load shifting of the power grid.

Description

technical field [0001] The invention relates to the technical field of circuit information collection, and more specifically, to an information collection module based on non-invasive load identification technology and a control method thereof. 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. At prese...

AI Technical Summary

Problems solved by technology

By clustering the daily load curves of residents and analyzing their overall energy consumption types and electricity consumption characteristics, it is difficult to implement the interaction between users and the power grid without specifying the electricity consumption and detailed electricity consumption behavior of each electrical appliance in the home

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