Air conditioning resource flexible regulation method

Abstract

The present application relates to the technical field of intelligent adjustment of air conditioner, in particular to a kind of air conditioner resource flexible regulation and control method of simplifying easy operation implementation, including establishing adjustment model, suggestion calculation model, establishing distribution model and closed loop regulation, beneficial effect is: by introducing the numerical concept of power transfer proportion, so only need to carry out preliminary data collection, power transfer proportion can be calculated based on the preliminary collection of data, so in subsequent adjustment process, the environmental data needed to be collected, only need to be calculated based on power proportion to realize the intelligent air conditioner adjustment based on power grid, and by calculating the power proportion data of different time periods, hedge a large number of uncertain data and factors, greatly reduce the difficulty of data collection and analysis, improve the simplicity of regulation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent adjustment of air conditioners, in particular to a flexible regulation method for air conditioner resources. BACKGROUND

[0002] How to reasonably reduce the energy consumption and power demand of air conditioners during peak periods to match the demand response of power grid scheduling has always been a hot research topic in the construction of new power systems. The demand response strategy of air conditioner flexible regulation aims to adjust the operation mode and temperature setting of the air conditioning system according to the power supply and demand situation and energy cost changes, so as to realize energy saving and load balancing.

[0003] The general adjustment of air conditioners generally has the following several kinds:

[0004] 1) Optimizing the energy efficiency of the air conditioning system can reduce energy consumption and power demand. This includes using high-efficiency compressors, heat exchangers, and fans, etc. key components to maximize the operating efficiency of the system. In addition, regular cleaning and maintenance of the system to maintain the normal operating state of the equipment is also an important measure to improve energy efficiency;

[0005] 2) Reasonably adjusting the indoor temperature can reduce the energy consumption of the air conditioning system. In summer, set the air conditioning temperature within the comfortable range to avoid excessive cooling. In winter, moderately increase the indoor temperature to reduce the heating load;

[0006] 3) Strengthening the thermal insulation and insulation measures of buildings can reduce the temperature difference between indoor and outdoor, which can reduce the load demand of the air conditioning system. This includes using high-efficiency thermal insulation materials, improving the sealing performance of windows and doors, and reducing heat transfer and energy loss;

[0007] 4) Reasonably use the timing function of the air conditioner, set the appropriate operation time according to the activity time and demand of personnel, avoid the continuous operation of the air conditioning system when no one uses it. In addition, use regional control technology to control the air conditioning system by region, and adjust independently according to the actual demand of different regions to avoid overall operation, thereby reducing energy consumption;

[0008] 5) Use the pre-cooling technology to store cold energy during the low peak period and then release it for use during the peak period. This can reduce the refrigeration load demand of the air conditioning system during the peak period, thereby reducing energy consumption and power demand.

[0009] However, in actual operation adjustment process, since the available power grid power in use environment is certain, but the available power grid power in different time periods is not constant, for example, for a family, the power input by the power grid is certain, but the electrical appliances used by the whole family in different time periods are different, so the remaining available power is not certain, so in the intelligent adjustment process of the air conditioner, it is difficult to accurately adjust according to the actual use environment, and the adjustment in the prior art needs a large amount of data collection, and with the increase of the database, the loading time is longer, the time response of intelligent adjustment is longer, and the data is complex and difficult to effectively process. SUMMARY

[0010] The purpose of the present application is to provide an air conditioner resource flexible regulation method to solve the problems raised in the background art.

[0011] To achieve the above purpose, the present application provides the following technical scheme:

[0012] An air conditioner resource flexible regulation method, the regulation method comprising the following steps:

[0013] S1: establishing an adjustment model, establishing an adjustment model of the air conditioner, the model comprising an advance cold storage module, a temperature bandwidth adjustment module and a cooling mode adjustment module;

[0014] S2: establishing a calculation model, based on the data collected in the actual air conditioner use environment, calculating the power ratio when the adjustment model changes in each time period;

[0015] S3: establishing a distribution model, based on the power grid interaction regulation task, according to the priority of different adjustment models set, executing different modules in turn, and calculating the power change caused by temperature change in real time;

[0016] S4: closed loop adjustment, realizing closed loop adjustment according to the distribution model until the power regulation task is completed.

[0017] Preferably, the data collected in the air conditioner use environment in step S2 comprises the number of components of the air conditioner resource in the determined scene, the rated power and the operation mode, and the access system mode.

[0018] Preferably, the power ratio when the adjustment model changes comprises the power ratio of real-time transfer of cold storage, the real-time power transfer ratio corresponding to each degree adjustment of temperature change and the real-time power transfer ratio corresponding to the change of different host cooling modes.

[0019] Preferably, the cooling mode adjustment module is to select appropriate cooling mode according to indoor and outdoor temperature and load demand, including adopting intermittent operation mode or low power operation mode, and the intermittent operation mode is to periodically and intermittently turn off the air conditioner in peak period.

[0020] Preferably, the real-time power transfer proportion corresponding to the change of the different host cooling mode is based on the actual operation condition, the power under the corresponding cooling mode in each time period is collected, and the proportion of the power under the corresponding time and environment compared to the total power grid is calculated.

[0021] Preferably, the temperature bandwidth adjustment is actually adjusted according to the power occupation in the power grid, that is, the temperature tolerance range is increased, the temperature is set to a high level during the peak period, and the temperature is set to a low level during the low peak period.

[0022] Preferably, the real-time power transfer proportion corresponding to the change of each degree of the temperature is based on the actual operation condition, the real-time power transfer proportion corresponding to the change of each degree of the temperature in each time period is collected.

[0023] Preferably, the pre-cooling module is based on the load monitoring of the power grid, and the cold quantity is stored during the low load period and then released for use during the peak period.

[0024] Preferably, the power proportion corresponding to the real-time transfer of the cold storage is based on the actual operation condition, the power proportion corresponding to the real-time transfer of the cold storage in each time period is collected.

[0025] Compared with the prior art, the beneficial effects of the present application are:

[0026] The present application introduces the numerical concept of power transfer proportion, so that only preliminary data collection is required, and the power transfer proportion can be calculated based on the preliminary data collection. Therefore, during the subsequent adjustment process, only environmental data needs to be collected, and the intelligent air conditioner adjustment based on the power grid can be realized based on the calculation of the power proportion. Moreover, a large amount of uncertain data and factors are hedged by calculating the power proportion data in different time periods, which greatly reduces the difficulty of data collection and analysis and improves the simplicity of adjustment. BRIEF DESCRIPTION OF DRAWINGS

[0027] Fig. 1 The flow chart of the control method of the present application is shown in the figure;

[0028] Fig. 2 The adjustment flow chart of the present application is shown in the figure. DETAILED DESCRIPTION

[0029] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0030] Please refer to Figs. 1-2The application provides a technical solution:

[0031] An air conditioner resource flexible regulation method, the regulation method comprising the following steps:

[0032] S1: Establishing a regulation model, establishing an air conditioner regulation model, the model comprising an advance cold storage module, a temperature bandwidth regulation module, and a cooling mode regulation module;

[0033] S2: Establishing a calculation model, based on the data collected from the actual air conditioner use environment, the data collected from the air conditioner use environment comprising the number of components, the rated power, and the operation mode of the air conditioner resource in the determined scene, the access system mode, calculating the power proportion when the regulation model changes in each time period, the power proportion when the regulation model changes comprising the power proportion of real-time cold storage transfer, the real-time power transfer proportion corresponding to each degree of temperature change regulation, and the real-time power transfer proportion corresponding to different host cooling mode changes;

[0034] S3: Establishing a distribution model, based on the grid interaction regulation task, sequentially executing different modules according to the priority of different regulation models set, and calculating the power change generated by temperature change in real time;

[0035] S4: Closed-loop regulation, realizing closed-loop regulation according to the distribution model until the power regulation task is completed.

[0036] The cooling mode regulation module is to select an appropriate cooling mode according to the indoor and outdoor temperature and load demand, including adopting an intermittent operation mode or a low-power operation mode, the intermittent operation mode being to periodically and intermittently turn off the air conditioner in the peak period, and the real-time power transfer proportion corresponding to different host cooling mode changes being to collect the power in the corresponding cooling mode in each time period under actual operation conditions and calculate the proportion of the power in the corresponding time and environment compared with the total grid power.

[0037] The temperature bandwidth regulation is to actually adjust the temperature according to the power occupancy in the grid, that is, to increase the temperature tolerance range, to set the temperature to a high level in the peak period, and to set the temperature to a low level in the low-peak period, and the real-time power transfer proportion corresponding to each degree of temperature change regulation being to collect the real-time power transfer proportion corresponding to each degree of temperature change in each time period under actual operation conditions.

[0038] The advance cold storage module is to store cold energy in the low-load period based on the load monitoring of the grid, and then release and use the cold energy in the peak period, and the power proportion of real-time cold storage transfer being to collect the power proportion of real-time cold storage transfer in each time period under actual operation conditions.

[0039] Embodiment 1: In the three regulation modes, the regulation of the single mode: in the regulation process of the advance cold storage module, the preliminary data collection and calculation before the regulation are as shown in the following table:

[0040]

[0041] As shown in the above table, the power ratio of the pre-cooling module during operation can be obtained based on the actual use environment and different time periods.

[0042] When the user uses the pre-cooling mode at a certain time, the power transfer ratio of the adjacent time or the corresponding time in the same period is called to determine the association between the air conditioner control action and the power of the pre-cooling mode during operation.

[0043] Embodiment 2: Adjustment of two adjustment modes: adjustment of the temperature bandwidth adjustment module and the cooling mode adjustment module;

[0044] On the basis of embodiment 1, the corresponding power ratio is obtained through preliminary data collection and calculation, and in the adjustment process, the association between the air conditioner control action and the power is realized only by setting the corresponding real-time power transfer ratio without data collection and calculation.

[0045] Embodiment 3: In the process of air conditioner intelligent control under the combined adjustment of three adjustment modes, on the basis of embodiment 1, the corresponding power ratio is obtained through preliminary data collection and calculation, and in the adjustment process, the association between the air conditioner control action and the power is realized only by setting the corresponding real-time power transfer ratio without data collection and calculation.

[0046] In summary, the control method of the present application uses different strategies to adjust in the adjacent time period under the same working condition (at this time, the weather environment and the energy use characteristics of the building tend to similar characteristics), obtains the real-time power transfer ratio corresponding to each measure to realize the association between temperature and power under flexible control, and ensures the completion of flexible control tasks under different working conditions.

[0047] Although embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the present application, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for flexible control of air conditioning resources, characterized in that: The control method includes the following steps: S1: Establish a regulation model for the air conditioner. The model includes a pre-storage module, a temperature bandwidth regulation module, and a cooling mode regulation module. S2: Establish a calculation model, and calculate the power ratio when the adjustment model changes in each time period based on the data collected from the actual air conditioning usage environment. The power ratio when the adjustment model changes includes the power ratio of real-time transfer of cold storage, the real-time power transfer ratio corresponding to each degree of temperature change, and the real-time power transfer ratio corresponding to changes in different host cooling modes. S3: Establish an allocation model, based on the power grid interaction and control task, execute different modules in sequence according to the priority level of different control models, and calculate the power change caused by temperature change in real time; S4: Closed-loop regulation, which implements closed-loop regulation based on the allocation model until the power regulation task is completed.

2. The method for flexible control of air conditioning resources according to claim 1, characterized in that: The data collected in step S2 regarding the air conditioning usage environment includes determining the number of air conditioning units in the scenario, their rated power, operating mode, and the method of accessing the system.

3. The flexible control method for air conditioning resources according to claim 1, characterized in that: The cooling mode adjustment module selects an appropriate cooling mode based on indoor and outdoor temperatures and load requirements, including an intermittent operation mode or a low-power operation mode. The intermittent operation mode involves periodically shutting off the air conditioner during peak hours.

4. The method for flexible control of air conditioning resources according to claim 3, characterized in that: The real-time power transfer ratio corresponding to the changes in different host cooling modes is based on the actual operating conditions, collecting the power under the corresponding cooling mode in each time period, and calculating the ratio of this power to the total grid power in the corresponding time and environment.

5. The method for flexible control of air conditioning resources according to claim 1, characterized in that: The temperature bandwidth adjustment is based on the power occupancy of the power grid, and the actual temperature is adjusted accordingly, that is, the temperature tolerance range is increased. During peak hours, the temperature is set to a high level, and during off-peak hours, the temperature is set to a low level.

6. The method for flexible control of air conditioning resources according to claim 5, characterized in that: The real-time power transfer percentage corresponding to each degree of temperature change is based on the actual operating conditions, and is collected at each time period for each degree of temperature change.

7. The method for flexible control of air conditioning resources according to claim 1, characterized in that: The pre-storage cooling module stores cooling energy during low-load periods based on grid load monitoring, and then releases it for use during peak periods.

8. The method for flexible control of air conditioning resources according to claim 7, characterized in that: The power percentage of real-time cold storage transfer is based on the power percentage of real-time cold storage transfer collected in each time period under actual operating conditions.

Images