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A Central Air Conditioning Control Method Oriented to Cluster Demand Response

A central air-conditioning and control method technology, applied in heating and ventilation control systems, applications, heating methods, etc., can solve the problems of lack of selectivity in user regulation and less attention to control methods, etc.

Active Publication Date: 2020-05-19
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The above researches belong to the "top-down" modeling and control of central air-conditioning. The control objects are mostly hosts or water circulation systems. Each regulation will affect all central air-conditioning end users, and less attention is paid to the end-users as the core of regulation. The "bottom-up" control means, lack of selectivity for user regulation

Method used

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  • A Central Air Conditioning Control Method Oriented to Cluster Demand Response
  • A Central Air Conditioning Control Method Oriented to Cluster Demand Response
  • A Central Air Conditioning Control Method Oriented to Cluster Demand Response

Examples

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Effect test

Embodiment 1

[0039] A central air-conditioning control method oriented to cluster demand response, see figure 1 with figure 2 , the central air-conditioning control method includes the following steps:

[0040] 101: Modeling the mechanism of the load rate central air conditioner;

[0041] 102: Based on the given total response command, use the space search unimodal pruning algorithm to obtain the optimal response command for each central air conditioner;

[0042] 103: Cluster central air-conditioning load demand response control center, combined with the optimal response command and central air-conditioning equipment switch status, and comprehensive index value, formulate an equipment-level comprehensive index priority queue control strategy, and the controlled equipment group accepts the comprehensive index priority queue control strategy After that, the device status is updated and fed back to the information collection unit.

[0043] Among them, there is a positive correlation betwe...

Embodiment 2

[0051] The following is combined with specific calculation formulas, examples, Figure 2-Figure 5 The scheme in Example 1 is further introduced, see the following description for details:

[0052] 201: Mechanism modeling of load rate central air conditioner;

[0053] The key components of the load-rate central air-conditioning unit include three parts: the main engine, the water circulation system, and the terminal group equipment. The specific composition is as follows figure 2 shown.

[0054] The quantitative circulating water is refrigerated by the central air-conditioning main unit, and the water separator sends the cold water to the air-conditioning terminal equipment and the air-handling unit. Air handling units improve user comfort levels by conditioning circulating air, while air conditioning terminal units deliver cold air directly to end users. After passing through these two devices, the water temperature will rise, and the water collector sends high-temperature...

Embodiment 3

[0091] Combine below Figure 6-Figure 11 The scheme in embodiment 1 and 2 is carried out feasibility verification, see the following description for details:

[0092] Figure 6-Figure 11 It reflects the demand response effect of central air-conditioning when considering different indicators and indicator combinations. From the results, it can be seen that the control strategy that considers the temperature index is better than the control strategy that does not consider it, because the temperature index considers the coupling relationship between electricity and heat. At the same time, the more indicators are considered, the more constrained the response effect will be, and the worse the response effect will be. However, the consideration of the above indicators also protects the interests of users or the life of equipment from different aspects.

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Abstract

The invention discloses a central air-conditioning control method for cluster demand response. The method comprises the following steps: modeling the mechanism of a load rate type central air conditioner; based on a given overall response instruction, obtaining an optimal response instruction of each central air conditioner by utilizing a spatial search unimodal chip-off algorithm; clustering central air conditioning load demands and responding to a control center; combining the optimal response instruction, the central air conditioning equipment on-off state and a comprehensive index value tomake an equipment-level comprehensive index priority queue control strategy; after a controlled equipment cluster receives the comprehensive index priority queue control strategy, updating the equipment state and feeding back to an information collection unit. The method disclosed by the invention utilizes a comprehensive index priority queue algorithm and the spatial search unimodal chip-off algorithm and uses the central air conditioner as a demand response resource to design and build a cluster demand response strategy framework, thereby providing auxiliary services for control of an electric power system.

Description

technical field [0001] The invention relates to the field of smart grid technology and demand response, in particular to a central air-conditioning control method oriented to cluster demand response. Background technique [0002] In recent years, the user load has increased rapidly, which has brought a great impact on the stable and economical operation of the power grid. Among them, air-conditioning load occupies a large proportion, and reasonable regulation of air-conditioning load is conducive to optimizing resource allocation and relieving the pressure on power grid operation. Compared with the single-unit air conditioners used by ordinary residential users, the central air conditioners used by commercial users (such as hotels, shopping malls, etc.) have better controllability, and have great potential in realizing peak-shaving and valley-filling of the power grid. A more effective way to achieve this is to use Demand Response (DR) technology, that is, to adjust the use...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F24F11/62F24F11/70
Inventor 王丹兰宇贾宏杰刘开欣戚野白
Owner TIANJIN UNIV