Non-intrusive identification method of non-variable frequency air conditioner based on second harmonic wave of current and reactive power

Abstract

The invention relates to a non-intrusive identification method of a non-variable frequency air conditioner based on a second harmonic wave of current and reactive power. The method comprises the following steps of (1) sampling voltage and current of a main power supply incoming line of an indoor power grid to form a voltage sampling sequence and a current sampling sequence; (2) setting a time window, calculating real-time average reactive power and the second harmonic wave of the current, corresponding to the time window, of the main power supply incoming line according to the voltage sampling sequence and the current sampling sequence for forming a real-time average reactive power sequence and a second harmonic wave sequence of the current; and (3) judging whether the non-variable frequency air conditioner is started or exits or not in the indoor power grid according to the real-time average reactive power sequence and the second harmonic wave sequence of the current, and if not, returning to the step (2). Fast and accurate non-intrusive identification is carried out on starting and exiting of the non-variable frequency air conditioner on the basis of the second harmonic wave of the current and the reactive power, and the non-intrusive identification method has the advantages of being simple, economical and easy to popularize and apply.

Description

technical field [0001] The invention belongs to the technical field of intelligent electricity utilization, and relates to a non-invasive identification method for a non-inverter air conditioner. Background technique [0002] Residential power load monitoring and decomposition technology is an emerging smart grid basic support technology. Unlike the current smart meter that only measures the total power of users, it monitors and decomposes the start-up time, working status, and energy consumption of all electrical appliances in the household. As the goal, so as to achieve more reliable and accurate electric energy management. The power load monitoring and decomposition technology makes the user's electricity bill list like a telephone bill list, and the power consumption of various household appliances is clear at a glance, so that users can know their own electricity consumption in a timely manner, and provide a reasonable allocation of the electricity consumption time of e...

AI Technical Summary

Problems solved by technology

At present, the research on NILMD technology is still in the theoretical research stage, and key technologies such as decomposition and identification methods for non-inverter air conditioners still need to be broken through

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