Air conditioner control method and system

Abstract

The invention relates to an air conditioner control method and system. The method comprises the steps that the conventional response number is calculated according to equivalent thermal parameters and reduction target parameters; a first aggregation power curve, conventional control duration and a maximum power reduction value are obtained according to the number of air conditioners in all the operation states in all the temperature intervals at the initial moment and a transmission model; an air conditioner cluster is controlled according to the conventional control duration and the conventional response quantity; under the current number of iterations, the number of the air conditioners in all the operation states in all the temperature intervals at the current moment is input into the transmission model, and a third aggregation power curve under the last number of iterations is obtained; according to the maximum power reduction value, the first aggregation power curve, a target reduction power curve and the third aggregation power curve under the last iteration number, intelligent control duration and intelligent response quantity under the current iteration number are obtained; and the air conditioner cluster is controlled according to the intelligent control duration and the intelligent response quantity under the current iteration number. According to the an air conditioner control method and system, rapid response of aggregation power and suppression of power oscillation can be realized at the same time.

Description

technical field [0001] The invention relates to the field of air conditioner control, in particular to an air conditioner control method and system. Background technique [0002] With the development of the tertiary industry and the increase in the proportion of residential electricity consumption, the problem of load peaks has become more prominent, and the scale of peak loads has continued to increase. Air-conditioning loads (ACLs) account for a large proportion of summer peak loads, because the daily peak load period usually lasts for about 1 to 2 hours, and its duration is greatly prolonged compared with low-frequency load shedding scenarios. Existing Technology usually continuously controls a single air-conditioning load cluster. On the one hand, it may not be able to achieve the power reduction target due to its own response characteristics, and on the other hand, it has a greater impact on user comfort. [0003] Considering that ACLs and their space have certain heat...

AI Technical Summary

Problems solved by technology

Air-conditioning loads (ACLs) account for a large proportion of summer peak loads, because the daily peak load period usually lasts for about 1 to 2 hours, and its duration is greatly prolonged compared with low-frequency load shedding scenarios. Existing Technology usually continuously controls a single air-conditioning load cluster. On the one hand, it may not be able to achieve the power reduction target due to its own response characteristics, and on the other hand, it has a greater impact on user comfort.

[0003] Considering that ACLs and their space have certain heat storage characteristics, and short-term changes in operating status will not have a great impact on user comfort, if a certain aggregation method is adopted to provide peak-shaving services, it can significantly reduce the energy consumption on the power generation side. Because the air conditioner load cluster participates in the response under the direct load control method, the state diversity is destroyed, and the load rebound and oscillation are very easy to occur. Most of the existing ideas are to adopt a certain suppression strategy to make the response curve smoother , but this approach greatly limits the instantaneous response speed of aggregated power, and there is no other method to achieve a control strategy that balances response speed and rebound suppression

Images