Air conditioner energy-saving control method and system based on virtual power plant

Through the deeply coupled load prediction model and parameter optimization model, the operating parameters of air conditioning equipment are dynamically optimized, which solves the problems of insufficient adjustment accuracy and lag in air conditioning energy control of virtual power plants, and achieves efficient grid load regulation and user experience improvement.

CN120062767AActive Publication Date: 2025-05-30SHENZHEN HUAJIAN INTEGRATED ENERGY TECH CO LTD
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Patent Information

Application Number
CN202510555938.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-29
Publication Date
2025-05-30
Estimated Expiration
2045-04-29

AI Technical Summary

Technical Problem

The prior art cannot effectively adapt to the power grid fluctuations and dynamic changes in user behavior in the air conditioning energy control of virtual power plants, resulting in insufficient adjustment accuracy, frequent start and stop of equipment, and degradation of user experience. The load prediction model and the equipment control model are isolated from each other, resulting in response lag and long-term operation energy efficiency attenuation.

Method used

A deeply coupled load prediction model and parameter optimization model are adopted, and the operating parameters of the air-conditioning equipment are dynamically optimized in real time, and the optimized subset of equipment operation parameters is generated, and the temperature setting value and power distribution strategy are adjusted layer by layer based on device priority and user behavior feedback.

Benefits of technology

Significantly improve the response efficiency and grid load regulation accuracy of the air conditioning group, continuously adapt to grid fluctuations and user needs, solve the problems of accumulation of forecast deviations and insufficient long-term operation stability, and achieve the balance between energy saving goals and user experience.

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Abstract

The invention provides an air conditioner energy-saving control method and system based on a virtual power plant, and the method comprises the steps: determining an air conditioner energy-saving control model corresponding to a plurality of air conditioner devices through obtaining an operation parameter set and real-time power grid load data of the plurality of air conditioner devices in a target region, and carrying out the energy-saving control of the plurality of air conditioner devices according to the real-time power grid load data and load prediction data; and determining a power grid load fluctuation threshold value of the target area, dynamically optimizing the operation parameter set of the plurality of air conditioning equipment through a parameter optimization model, generating an optimized equipment operation parameter subset, and adjusting temperature set values and operation modes of the plurality of air conditioning equipment in a future time period. And generating an air conditioner group control strategy corresponding to a future time period, obtaining operation feedback data, updating weight parameters of the load prediction model according to a deviation value between actual power grid load data and load prediction data, calibrating an optimization rule of the parameter optimization model, and generating a calibrated model. According to the invention, the fine regulation and control capability and the energy coordination efficiency of the air conditioner group can be improved.
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