Exponential moving average-based air conditioning load demand response method

Abstract

The invention relates to an exponential moving average-based air conditioning load demand response method. The method comprises the following steps of (1) obtaining real-time electricity price P<rt> of each electricity price updating cycle; (2) calculating average electricity price P<avg> within n past electricity price updating cycles and an electricity price standard deviation sigma by using a sliding data window according to the real-time electricity price in each electricity price updating cycle; (3) sampling the real-time electricity price according to a set sampling cycle, filtering the sampled real-time electricity price by using an exponential moving average algorithm to obtain filtered electricity price P<ema>; (4) calculating an updated temperature set value T<set> of air conditioning equipment according to the average electricity price P<avg>, the electricity price standard deviation sigma and the filtered electricity price P<ema> obtained in the steps (2) and (3); and (5) adjusting the temperature of the air conditioning equipment by the updated temperature set value T<set>. Compared with the prior art, the exponential moving average-based air conditioning load demand response method has the advantages that power grid impact is reduced, the power quality of a power distribution network is improved and the like.

Description

technical field [0001] The invention belongs to the technical field of smart grid demand response, and relates to an automatic electricity price response method for air-conditioning loads, in particular to an exponential moving average-based air-conditioning load demand response method. Background technique [0002] In today's society, with the development of social economy and the improvement of people's living standards, people's demand for electricity continues to increase. Compared with the rapid growth of electricity demand, the construction of power generation resources is in a relatively lagging state. This has led to frequent shortages of overall power supply and partial congestion in cities with large electricity demand. At the same time, the peak-to-valley difference in my country's electricity consumption is relatively large, and the duration of peak and peak loads in the power grid is not long. If it is simply relying on related enterprises to increase investme...

AI Technical Summary

Problems solved by technology

However, the main difficulty of air-conditioning load control is that frequent temperature setting adjustments will destroy the diversity of the operating status of the air-conditioning cluster, which will lead to large mutations and oscillations in the total power of the air-conditioning, which will affect the power quality and the security of the power grid. Serious impact on stable operation

Without solving this problem, large-scale air conditioning control is difficult to obtain practical application

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