Air conditioner flexible control response ability prediction method taking outdoor air temperature prediction errors into consideration

A technology of outdoor temperature and prediction error, applied in heating and ventilation control systems, heating and ventilation safety systems, mechanical equipment, etc., can solve problems such as failure to consider prediction errors and unpredictable response delays

Active Publication Date: 2018-06-29
JIANGSU ELECTRIC POWER CO
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AI Technical Summary

Problems solved by technology

[0006] Aiming at the defects that the traditional method does not consider the outdoor air temperature prediction error and cannot predict the response delay, the present invention provides an air conditioner flexible control response ability prediction method considering the outdoor air temperature prediction error, in order to build a model of the outdoor air temperature prediction error and analyze the air conditioner cl

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  • Air conditioner flexible control response ability prediction method taking outdoor air temperature prediction errors into consideration
  • Air conditioner flexible control response ability prediction method taking outdoor air temperature prediction errors into consideration
  • Air conditioner flexible control response ability prediction method taking outdoor air temperature prediction errors into consideration

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Embodiment Construction

[0061] In this embodiment, the flexible control response of the air conditioner refers to the behavior of reducing the load of the air conditioner under the flexible control mode, that is, the behavior of the user to reduce the active load demand by adjusting the set value of the indoor temperature of the air conditioner; the air conditioner cluster refers to the behavior of the air conditioner load aggregator A collection of controlled air conditioners. In the case of considering the outdoor air temperature prediction error, the overall flowchart of the prediction method for the air-conditioning flexible control response capability (including response capacity and response delay) is as follows: figure 1 As shown, the specific steps are as follows:

[0062] Step 1. Get raw data:

[0063] t 0 , the initial moment when the random simulation starts;

[0064] K, the number of air conditioners included in the air conditioner cluster;

[0065] C k , the heat capacity of the roo...

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Abstract

The invention discloses an air conditioner flexible control response ability prediction method taking outdoor air temperature prediction errors into consideration. The method comprises the following steps that 1, a white noise model for error prediction of the outdoor air temperature is established; 2, the indoor temperature change process of a room where an air conditioner is located is describedthrough a random differential equation; 3, the working process of a air conditioner cluster is simulated by using a random simulation method so as to obtain a sample of the flexible control responseability of the air conditioner, wherein the sample comprises the samples of the response capacity and the response delay; and 4, a statistical method is adopted to obtain a prediction result of the flexible control response ability of the air conditioner, namely, the sample mean value, the sample standard deviation and the estimation interval of the response capacity and response time delay. According to the method, a reference basis can be provided for implementing effective demand response management on the load of the air conditioner by an air conditioner load aggregation provider.

Description

technical field [0001] The invention belongs to the field of electric load demand side management, and relates to a method for predicting the responsiveness of air-conditioning flexible control in consideration of outdoor air temperature prediction errors. Background technique [0002] In recent years, with the rapid development of the economy and the improvement of people's lives, the electricity load (especially the peak load) has increased sharply, and the problem of the peak-to-valley difference of the load curve has become prominent. In order to meet the rapidly growing demand for electricity, the traditional approach is to build new power plants and renovate and expand the power grid. However, due to the low utilization rate of these new power generation and transmission equipment, it will eventually lead to increased costs and waste of resources. Practical experience at home and abroad shows that the contradiction between power supply and demand cannot be effectively ...

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Application Information

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IPC IPC(8): F24F11/64F24F110/12
Inventor 齐先军周欣怡陈振宇栾开宁杨斌阮文俊潘雨晴刘玙吴红斌张晶晶
Owner JIANGSU ELECTRIC POWER CO
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