Nonintrusive type air conditioner starting detection method based on decision tree classifiers

Abstract

The invention discloses a nonintrusive type air conditioner starting detection method based on decision tree classifiers, and relates to the technical field of air conditioner starting detection. According to the nonintrusive type air conditioner starting detection method based on the decision tree classifiers, the real-time voltage signal and current signal of the user main wire inlet end are collected in real time, the steady average power increment, the starting sudden change current multiple and the starting process lasting duration of the user main wire inlet end are calculated out, and then the decision tree classifiers are adopted for accurately and fast recognizing non variable frequency air conditioner starting. According to the detection method, the problem of non variable frequency air conditioner starting can be directly, effectively and fast recognized without entering households, and the advantages of being simple, economical, easy to apply and popularize and the like areachieved; the recognition result contributes to knowing the starting running characteristics and energy consumption conditions of large-power non variable frequency air conditioner electric appliances of users; the demand side management work of grid companies to the air conditioner electric appliances is facilitated; and the management difficulty is reduced.

Description

technical field [0001] The invention belongs to the technical field of air conditioner start detection, and in particular relates to a non-invasive air conditioner start detection method based on a decision tree classifier. Background technique [0002] With my country's rapid economic development and climate warming, the load level and load structure of some central cities have changed, especially the loads of air conditioners, refrigerators and freezers have increased rapidly. Affected by the air-conditioning load, the electricity load of the power grid increases rapidly, and the peak-to-valley difference further widens. The sharp increase of the air-conditioning load has become an important reason for the deterioration of the grid load characteristics and power shortage in summer. At the same time, the power of the air conditioner will fluctuate to a large extent when it is working. In summer, the fluctuation generated by a huge number of air conditioners will cause a sha...

AI Technical Summary

Problems solved by technology

However, the current research results have not found a method that can directly, quickly and efficiently identify the start-up of non-inverter air conditioners, and it is impossible to distinguish the start-up operation characteristics and energy consumption of high-power non-inverter air conditioners. , which increases the difficulty of monitoring the air-conditioning load, and further increases the difficulty of load forecasting and demand-side management

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