An optimization method of central air conditioning demand response scheme based on global temperature adjustment

Abstract

The invention relates to a method for optimizing a demand response scheme of central air conditioners based on global temperature adjustment, comprising the following steps: 1) constructing demand response strategies of three types of central air conditioners, adjusting the resolution according to the temperature of the central air conditioners, and giving a set of discrete execution The temperature adjustment value sequence of the time period; 2) the temperature adjustment value ΔT for each discretized execution time period under each type of demand response strategy G , the temperature adjustment value ΔT of the execution period is obtained G 3) Define the user demand response net income index π, and calculate the temperature adjustment value ΔT of each discrete execution period under each type of demand response strategy G The corresponding user demand response net income index; 4) According to the user demand response net income index, select the optimal central air conditioning demand response plan and the optimal temperature adjustment value. Compared with the prior art, the present invention has the advantages of being comprehensive and accurate, maximizing the net benefit, and understanding the user's behavior.

Description

technical field [0001] The invention relates to the field of building demand response control, in particular to a method for optimizing a central air conditioner demand response scheme based on global temperature adjustment. Background technique [0002] In modern society, building load contributes more and more to grid peak load. Taking my country as an example, building energy consumption has accounted for 44% of the national total energy consumption, among which, central air-conditioners (CAC) are the main energy-consuming equipment, which can account for more than 50% of building energy consumption. Modern buildings have good heat storage capacity and can advance or delay electricity consumption without affecting user comfort. Therefore, CAC can be used as an important demand-side resource to provide services such as peak shaving and valley filling to the power grid. [0003] Existing research mainly considers the compensation benefits of demand response, but in fact, ...

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Problems solved by technology

[0003] Existing research mainly considers demand response compensation benefits, but in fact, building participation in demand response will affect human comfort. A large number of studies have shown that there is a relationship between human thermal comfort and work efficiency, and the hidden loss caused by the reduction of comfort may In this way, regardless of the loss of work efficiency, it will make an overly optimistic misjudgment of the willingness of users to participate in demand response, and it is not conducive to the power grid to formulate a reasonable demand response compensation mechanism

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