Aggregation air conditioning load scheduling method based on temperature set value adjustment

A technology of temperature setting and air conditioning load, applied in heating methods, lighting and heating equipment, space heating and ventilation, etc., can solve problems such as low power

Active Publication Date: 2014-12-17
SOUTHEAST UNIV
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Problems solved by technology

However, as far as an air conditioner is concerned, its load characteristic curve has the characteristics of periodic jumps and the power is small. In contrast, the aggregated air conditioner load has

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  • Aggregation air conditioning load scheduling method based on temperature set value adjustment
  • Aggregation air conditioning load scheduling method based on temperature set value adjustment
  • Aggregation air conditioning load scheduling method based on temperature set value adjustment

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Embodiment Construction

[0043] The technical solutions of the present invention will be described in detail below, but the protection scope of the present invention is not limited to the embodiments.

[0044] Firstly, the parameter setting of the embodiment will be described. Assuming that the scheduling instance occurs in summer, there are 30,000 air conditioners in the air-conditioning aggregation dispatching center that can participate in the dispatching of air conditioners, which will be divided into N group There are 500 air-conditioning units as a group, a total of 60 aggregation groups; assuming that the average rated power of the air conditioner is 2.5kW, the average cooling energy efficiency ratio is 2.7, the equivalent heat capacity is 0.18kWh / ℃, and the equivalent thermal resistance is 5.56°C / kW, the user comfort temperature range is [20.0°C, 22.0°C], and the temperature setting range is limited to 1°C (ie T max -T min = 1°C); Assume that before the start of this dispatch, there is a pow...

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Abstract

The invention discloses an aggregation air conditioning load scheduling method based on temperature set value adjustment. The method comprises the following steps: (1) acquiring the temperature set value and outdoor temperature prediction value of each air conditioner aggregation group through a bilateral information channel; (2) adjusting and estimating the load increase/decrease scheme of each air conditioner aggregation group based on the temperature set values; (3) acquiring a load increase/decrease target issued by a superior scheduling department; (4) establishing an aggregation air conditioner scheduling decision model, and solving; (5) issuing an air conditioner control command through the bilateral information channel. By adopting the aggregation air conditioning load scheduling method, load increase/decrease service can be provided for electric power system scheduling on the premise of not influencing the user comfort by using air conditioning equipment of a user, so that the user turns from an electric energy user to a participant of an electric power system and participates in running of the electric power system; meanwhile, by using the method, technical guidance can be provided for the innovation of the scheduling mode of a power grid scheduling department.

Description

technical field [0001] The invention belongs to the technical field of intelligent power consumption and demand response, and in particular relates to an aggregated air conditioner load scheduling method based on temperature setting value adjustment. Background technique [0002] With the development of the national economy, the growth of power demand has been in a straight line. Especially in recent years, extreme weather has occurred frequently, and the use of air conditioners has gradually increased, making the summer cooling load and winter heating load the main components of the peak load in these two seasons. . Under the traditional operation mechanism of the power grid, if there is a peak load, either start the peak generating unit, or adopt load management measures such as switching off and limiting power for power users. Benefit. Demand response technology provides many flexible solutions to solve this problem. The relatively low-cost demand response technology ca...

Claims

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Application Information

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IPC IPC(8): F24F11/02
Inventor 李扬周磊
Owner SOUTHEAST UNIV
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