CN114322210B - Power control method, device, electronic equipment and storage medium - Google Patents
Power control method, device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN114322210B CN114322210B CN202111657772.9A CN202111657772A CN114322210B CN 114322210 B CN114322210 B CN 114322210B CN 202111657772 A CN202111657772 A CN 202111657772A CN 114322210 B CN114322210 B CN 114322210B
- Authority
- CN
- China
- Prior art keywords
- air conditioning
- power
- conditioning subsystem
- type
- subsystem
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Air Conditioning Control Device (AREA)
Abstract
The embodiment of the application provides a power control method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: determining power regulation requirement information, wherein the requirement information comprises a power regulation period and a power regulation quantity; the power adjustment amount is used to indicate the capacity to reduce power; acquiring state information of an air conditioning system, wherein the air conditioning system comprises an air conditioning subsystem of at least one area; the status information is used for indicating the priority order and adjustable capacity of the air conditioning subsystem of each area in power adjustment; and performing power control on the air conditioning subsystem of at least one area in the power adjustment period according to the power adjustment quantity and the state information, so that the power reduction value of the air conditioning subsystem is greater than or equal to the power adjustment quantity.
Description
Technical Field
The embodiment of the application relates to the technical field of automatic control, in particular to a power control method, a power control device, electronic equipment and a computer storage medium.
Background
The power supply and demand balance has important significance to the social and economic development, and the running number of Air conditioners (Air conditioners) is increased rapidly in summer high-temperature weather, so that the problem of regional power supply shortage occurs in the power peak period. In the peak period of power, in order to ensure the life electricity consumption of residential users, the power grid company preferably applies power limiting measures to enterprise users in the area.
In the related art, the power limiting measures lead to unbalanced power resource allocation, which affects the production and operation activities of enterprises, and the dynamic control of the power of an air conditioning system in the power peak period has important significance for the effective utilization of the power resources. Therefore, how to dynamically control the power of an air conditioning system during the power peak period becomes an important issue to be solved.
Disclosure of Invention
The embodiment of the application provides a power control method, a device, electronic equipment and a computer storage medium, which can dynamically control the power of an air conditioning system in the power peak period.
The power control method provided by the embodiment of the application comprises the following steps:
determining demand information for power regulation, the demand information including a power regulation period and a power regulation amount; the power adjustment is used to indicate a capacity to reduce power;
acquiring state information of the air conditioning system, wherein the air conditioning system comprises an air conditioning subsystem of at least one area; the status information is used for indicating the priority order and adjustable capacity of the air conditioning subsystem of each area in power adjustment;
and controlling the power of the air conditioning subsystem of the at least one area in the power adjusting period according to the power adjusting quantity and the state information, so that the power reduction value of the air conditioning subsystem is greater than or equal to the power adjusting quantity.
In one implementation, in a case where the air conditioning system includes a first type of air conditioning subsystem and a second type of air conditioning subsystem, the priority order is the first type of air conditioning subsystem, the second type of air conditioning subsystem; the first type air conditioning subsystem belongs to a public area, and the second type air conditioning subsystem belongs to an office area;
the power control of the at least one air conditioning subsystem in the power adjustment period according to the power adjustment amount and the state information includes:
closing the first type air conditioning subsystem, and determining a power reduction value of the air conditioning system according to the adjustable capacity of the first type air conditioning subsystem;
and under the condition that the power reduction value is smaller than the power adjustment quantity, performing power adjustment on the second-type air conditioning subsystem according to the comfort level adjustment parameter corresponding to the second-type air conditioning subsystem.
In one implementation manner, the power adjusting of the second type air conditioning subsystem according to the comfort level adjusting parameter corresponding to the second type air conditioning subsystem includes:
acquiring a first correlation function, wherein the first correlation function is used for indicating a correlation function of a temperature parameter and comfort level;
Determining the comfort corresponding to the initial temperature parameter according to the first correlation function and the initial temperature parameter of the second type air conditioning subsystem; determining target comfort level according to the comfort level corresponding to the initial temperature parameter and a preset comfort level adjustment amount;
determining a temperature parameter corresponding to the target comfort level according to the target comfort level and the first correlation function; and carrying out power adjustment on the second type air conditioning subsystem according to the temperature parameter corresponding to the target comfort level.
In one implementation manner, the power adjusting the second type of air conditioning subsystem according to the temperature parameter corresponding to the target comfort level includes:
acquiring a second correlation function, wherein the second correlation function is used for indicating a correlation function of load power and temperature parameters of the second type of air conditioning subsystem;
determining a target power parameter of the second type air conditioning subsystem according to the second correlation function and the temperature parameter corresponding to the target comfort level;
and carrying out power adjustment on the second type air conditioning subsystem according to the target power parameter.
In one implementation, in a case that the air conditioning system includes a first type of air conditioning subsystem, a second type of air conditioning subsystem, and a third type of air conditioning subsystem, the priority order is the first type of air conditioning subsystem, the second type of air conditioning subsystem, and the third type of air conditioning subsystem; the third type of air conditioning subsystem belongs to a production area;
After the power of the second type air conditioning subsystem is adjusted according to the comfort level adjustment parameter corresponding to the second type air conditioning subsystem, the method further comprises:
updating a power reduction value of the air conditioning system, and acquiring a difference value between the power reduction value and the power adjustment quantity under the condition that the power reduction value is smaller than the power adjustment quantity;
and carrying out power regulation on the third type of air conditioning subsystem according to the difference value of the power reduction value and the power regulation quantity.
In one implementation, the acquiring the status information of the air conditioning system includes:
predicting a load power predicted value of each air conditioning subsystem in the power adjustment period according to the historical power data of each air conditioning subsystem; determining the adjustable capacity of each air conditioning subsystem according to the load power predicted value;
determining the priority order of each air conditioning subsystem in power adjustment according to the working area of each air conditioning subsystem;
and acquiring state information of the air conditioning systems according to the adjustable capacity of each air conditioning subsystem and the priority order of each air conditioning subsystem in power adjustment.
In one implementation, the predicting the load power prediction value of each air conditioning subsystem in the power adjustment period according to the historical power data of each air conditioning subsystem includes:
collecting the load power of each air conditioning subsystem according to a preset sampling time period to obtain historical power data of each air conditioning subsystem;
and carrying out time sequence analysis on the historical power data of each air conditioning subsystem to obtain a load power predicted value of each air conditioning subsystem in the power adjustment period.
The power control device provided by the embodiment of the application comprises:
a determining module, configured to determine requirement information of power adjustment, where the requirement information includes a power adjustment period and a power adjustment amount; the power adjustment is used to indicate a capacity to reduce power;
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring state information of the air conditioning system, and the air conditioning system comprises an air conditioning subsystem of at least one area; the status information is used for indicating the priority order and adjustable capacity of the air conditioning subsystem of each area in power adjustment;
and the control module is used for controlling the power of the air conditioning subsystem of the at least one area in the power adjusting period according to the power adjusting quantity and the state information, so that the power reduction value of the air conditioning subsystem is greater than or equal to the power adjusting quantity.
In one implementation, in a case where the air conditioning system includes a first type of air conditioning subsystem and a second type of air conditioning subsystem, the priority order is the first type of air conditioning subsystem, the second type of air conditioning subsystem; the first type air conditioning subsystem belongs to a public area, and the second type air conditioning subsystem belongs to an office area;
the control module is configured to perform power control on the at least one air conditioning subsystem in the power adjustment period according to the power adjustment amount and the status information, and includes:
closing the first type air conditioning subsystem, and determining a power reduction value of the air conditioning system according to the adjustable capacity of the first type air conditioning subsystem;
and under the condition that the power reduction value is smaller than the power adjustment quantity, performing power adjustment on the second-type air conditioning subsystem according to the comfort level adjustment parameter corresponding to the second-type air conditioning subsystem.
In one implementation manner, the control module is configured to perform power adjustment on the second type of air conditioning subsystem according to a comfort level adjustment parameter corresponding to the second type of air conditioning subsystem, and includes:
acquiring a first correlation function, wherein the first correlation function is used for indicating a correlation function of a temperature parameter and comfort level;
Determining the comfort corresponding to the initial temperature parameter according to the first correlation function and the initial temperature parameter of the second type air conditioning subsystem; determining target comfort level according to the comfort level corresponding to the initial temperature parameter and a preset comfort level adjustment amount;
determining a temperature parameter corresponding to the target comfort level according to the target comfort level and the first correlation function; and carrying out power adjustment on the second type air conditioning subsystem according to the temperature parameter corresponding to the target comfort level.
In one implementation manner, the control module is configured to perform power adjustment on the second type of air conditioning subsystem according to the temperature parameter corresponding to the target comfort level, and includes:
acquiring a second correlation function, wherein the second correlation function is used for indicating a correlation function of load power and temperature parameters of the second type of air conditioning subsystem;
determining a target power parameter of the second type air conditioning subsystem according to the second correlation function and the temperature parameter corresponding to the target comfort level;
and carrying out power adjustment on the second type air conditioning subsystem according to the target power parameter.
In one implementation, in a case that the air conditioning system includes a first type of air conditioning subsystem, a second type of air conditioning subsystem, and a third type of air conditioning subsystem, the priority order is the first type of air conditioning subsystem, the second type of air conditioning subsystem, and the third type of air conditioning subsystem; the third type of air conditioning subsystem belongs to a production area;
The control module is configured to perform power adjustment on the second type air conditioning subsystem according to the comfort level adjustment parameter corresponding to the second type air conditioning subsystem, where the method further includes:
updating a power reduction value of the air conditioning system, and acquiring a difference value between the power reduction value and the power adjustment quantity under the condition that the power reduction value is smaller than the power adjustment quantity;
and carrying out power regulation on the third type of air conditioning subsystem according to the difference value of the power reduction value and the power regulation quantity.
In one implementation, the obtaining module is configured to obtain status information of the air conditioning system, and includes:
predicting a load power predicted value of each air conditioning subsystem in the power adjustment period according to the historical power data of each air conditioning subsystem; determining the adjustable capacity of each air conditioning subsystem according to the load power predicted value;
determining the priority order of each air conditioning subsystem in power adjustment according to the working area of each air conditioning subsystem;
and acquiring state information of the air conditioning systems according to the adjustable capacity of each air conditioning subsystem and the priority order of each air conditioning subsystem in power adjustment.
In one implementation manner, the obtaining module is configured to predict, according to historical power data of each air conditioning subsystem, a load power predicted value of each air conditioning subsystem in the power adjustment period, where the load power predicted value includes:
collecting the load power of each air conditioning subsystem according to a preset sampling time period to obtain historical power data of each air conditioning subsystem;
and carrying out time sequence analysis on the historical power data of each air conditioning subsystem to obtain a load power predicted value of each air conditioning subsystem in the power adjustment period.
The embodiment of the application provides electronic equipment, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the power control method provided by one or more of the technical schemes when executing the program.
Embodiments of the present application provide a computer storage medium storing a computer program; the computer program, when executed, is capable of implementing the power control method provided by one or more of the foregoing technical solutions.
Based on the power control method provided by the application, the demand information of power regulation is determined, and the demand information comprises a power regulation period and a power regulation quantity; acquiring state information of an air conditioning system, wherein the air conditioning system comprises an air conditioning subsystem of at least one area; the status information is used to indicate the priority order and adjustable capacity of the air conditioning subsystem of each zone at the time of power adjustment. Therefore, the air conditioning subsystem can be controlled in a partition mode according to the type of the area to which the air conditioning subsystem belongs, and the power of the air conditioning subsystem of at least one area is adjusted in the power adjustment period according to the power adjustment quantity and the priority order of the air conditioning subsystem, so that the power reduction value of the air conditioning subsystem is larger than or equal to the power adjustment quantity, and the power of the air conditioning system is dynamically controlled in the power peak period.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application as claimed.
Drawings
Fig. 1 is an application scenario diagram of a power control method according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a power control method according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of power control of at least one air conditioning subsystem during a power adjustment period according to power adjustment amount and status information provided in an embodiment of the present application;
fig. 4 is a schematic flow chart of power adjustment for a second type of air conditioning subsystem according to comfort level adjustment parameters corresponding to the second type of air conditioning subsystem according to an embodiment of the present application;
fig. 5 is a schematic flow chart of power adjustment for the second type of air conditioning subsystem according to the temperature parameter corresponding to the target comfort level according to the embodiment of the present application;
FIG. 6 is a schematic diagram of a flow chart of power adjustment for a third type of air conditioning subsystem according to a difference between a power reduction value and a power adjustment amount according to an embodiment of the present application;
fig. 7 is a schematic flow chart of acquiring status information of an air conditioning system according to an embodiment of the present application;
fig. 8 is a flowchart of predicting a load power predicted value of an air conditioning subsystem in a power adjustment period according to historical power data of the air conditioning subsystem according to an embodiment of the present application;
Fig. 9 is a flowchart of another power control method according to an embodiment of the present application;
fig. 10 is a schematic diagram of a power control device according to an embodiment of the present application;
fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples. It should be understood that the examples provided herein are for the purpose of illustrating the application only and are not intended to limit the application. In addition, the embodiments provided below are some of the embodiments for carrying out the present application, but not all of the embodiments for carrying out the present application, and the technical solutions described in the embodiments of the present application may be implemented in any combination without conflict.
Fig. 1 shows an application scenario diagram of a power control method provided by an embodiment of the present application. Referring to fig. 1, a utility company may supply electric power to a utility consumer, who may apply the electric power portion to an air conditioning system according to actual needs, which may include at least one of the following subsystems: an air conditioning subsystem of a production area, an air conditioning subsystem of a public area and an air conditioning subsystem of an office area.
In an example, the air conditioning subsystem of the production area may be an air conditioner that directly affects the production of the enterprise, e.g., an air conditioner of a production plant; the air conditioning subsystem of the public area may be an air conditioner of an enterprise public area, for example, an air conditioner of an aisle corridor within a building; the air conditioning subsystem of the office area may be an air conditioner of an office, for example, an air conditioner of an office, an air conditioner of a conference room.
In practice, the air conditioner may include a refrigeration system, an air circulation system, an electrical control system, and a cabinet. The refrigerating system comprises a compressor, a capillary tube, an evaporator, a condenser and a connecting pipe. The air circulation system may include a fan motor, a centrifugal fan, an axial fan, an air duct, a damper, and an air filter.
Fig. 2 shows a schematic flow chart of a power control method provided by an embodiment of the present application. Referring to fig. 2, the power control method provided by the embodiment of the present application may include the following steps:
step a201: demand information for power adjustment is determined, the demand information including a power adjustment period and a power adjustment amount.
In an example, the power adjustment amount is used to indicate a capacity to reduce power. Hereinafter, the power adjustment amount will be referred to as P T 。
In an example, a cloud platform management system is deployed at a cloud server of an enterprise user, and power regulation demand information sent by an electric company is received by the cloud platform management system. Therefore, the cloud platform management system can acquire the demand information of power regulation in real time, and dynamically respond to the power regulation time period and the power regulation quantity indicated in the demand information.
In an example, the cloud server may provide private cloud services or public cloud services to enterprise users. Wherein the private cloud may be deployed within a firewall of the enterprise data center.
Step A202: acquiring state information of an air conditioning system, wherein the air conditioning system comprises an air conditioning subsystem of at least one area; the status information is used to indicate the priority order and adjustable capacity of the air conditioning subsystem of each zone at the time of power adjustment.
Here, the air conditioning system may include an air conditioning subsystem of at least one of the following areas: public area, office area, production area. In one air conditioning subsystem, at least one air conditioner may be included.
In an example, the cloud platform management system may communicate with each air conditioning subsystem in the air conditioning system through the cloud server to obtain the area identification information of each air conditioning regulator, and classify the plurality of air conditioning regulators in the air conditioning system according to the area identification information of each air conditioning regulator to obtain a classification result of the air conditioning subsystem.
In an example, referring to table 1, the cloud platform management system determines a working area of the air conditioning subsystem according to the area identification information of the air conditioning subsystem, and determines a priority order of the air conditioning subsystem in power adjustment according to a correspondence between the working area of the air conditioning subsystem and the working area-priority order.
Table 1 status information of air conditioning system
It should be understood that referring to table 1, the first type of air conditioning subsystem belongs to a public area, the second type of air conditioning subsystem belongs to an office area, and the third type of air conditioning subsystem belongs to a production area. The adjustable capacity of the first air conditioning subsystem is delta P1, the adjustable capacity of the second air conditioning subsystem is delta P2, and the adjustable capacity of the third air conditioning subsystem is delta P3.
In an example, where the air conditioning system includes a first type of air conditioning subsystem and a second type of air conditioning subsystem, the order of priority is the first type of air conditioning subsystem, the second type of air conditioning subsystem.
In an example, where the air conditioning system includes a first type of air conditioning subsystem, a second type of air conditioning subsystem, and a third type of air conditioning subsystem, the priority order is the first type of air conditioning subsystem, the second type of air conditioning subsystem, the third type of air conditioning subsystem.
Step A203: and performing power control on the air conditioning subsystem of at least one area in the power adjustment period according to the power adjustment quantity and the state information, so that the power reduction value of the air conditioning subsystem is greater than or equal to the power adjustment quantity.
In an example, the cloud platform management system may store data at the cloud server for power conditioning demand information and air conditioning system status information. And carrying out cloud computing based on the power adjustment quantity and the state information of the air conditioning systems, obtaining a response result of power grid peak shaving, sending the response result to each air conditioning subsystem through a cloud server, and executing power adjustment by the air conditioning subsystem.
In an example, the cloud platform management system performs power adjustment on the air conditioning subsystem of each zone according to the priority order according to the power adjustment amount and the priority order of the air conditioning subsystem of each zone at the time of power adjustment.
In an example, the power control is performed on the air conditioning subsystem of at least one area during the power adjustment period, and at least one of the following power control methods may be adopted:
at least one air conditioner in the air conditioning subsystem is turned off, power is adjusted to the air conditioning subsystem according to the comfort adjustment parameter, and power is adjusted to the air conditioning subsystem according to the temperature adjustment parameter.
In an example, during a power adjustment period, the cloud platform management system may adjust an operation power of at least one air conditioning subsystem, control a power reduction value of the air conditioning system to be greater than or equal to a power adjustment amount, and slow down a power supply pressure during a load peak of the power grid.
Based on the power control method provided by the application, the demand information of power regulation is determined, and the demand information comprises a power regulation period and a power regulation quantity; acquiring state information of an air conditioning system, wherein the air conditioning system comprises an air conditioning subsystem of at least one area; the status information is used to indicate the priority order and adjustable capacity of the air conditioning subsystem of each zone at the time of power adjustment. Therefore, the air conditioning subsystem can be controlled in a partition mode according to the type of the area to which the air conditioning subsystem belongs, and the power of the air conditioning subsystem of at least one area is adjusted in the power adjustment period according to the power adjustment quantity and the priority order of the air conditioning subsystem, so that the power reduction value of the air conditioning subsystem is larger than or equal to the power adjustment quantity, and the power of the air conditioning system is dynamically controlled in the power peak period.
In practical applications, the above steps a201 to a203 may be implemented by a processor, which may be at least one of an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a digital signal processor (Digital Signal Processor, DSP), a digital signal processing device (Digital Signal Processing Device, DSPD), a programmable logic device (Programmable Logic Device, PLD), a field programmable gate array (Field Programmable Gate Array, FPGA), a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, and a microprocessor.
In one implementation, where the air conditioning system includes a first type of air conditioning subsystem and a second type of air conditioning subsystem, the priority order is the first type of air conditioning subsystem, the second type of air conditioning subsystem; the first type of air conditioning subsystem belongs to a public area, and the second type of air conditioning subsystem belongs to an office area.
In the step a203, according to the power adjustment amount and the state information, the power control of the at least one air conditioning subsystem in the power adjustment period, referring to fig. 3, may include the following steps:
step a301: and closing the first type of air conditioning subsystem, and determining the power reduction value of the air conditioning system according to the adjustable capacity of the first type of air conditioning subsystem.
In an example, the first type of air conditioning subsystem includes at least one air conditioner, and the air conditioners in the first type of air conditioning subsystem may be distributed over a common area of a lobby, aisle, corridor, toilet, etc. of a building.
In an example, each air conditioner in the air conditioning subsystem of the common area is turned off, and a power reduction value Δp= Δp1 of the air conditioning system is determined according to an adjustable capacity Δp1 of the air conditioning subsystem of the common area.
Step a302: and under the condition that the power reduction value is smaller than the power adjustment quantity, performing power adjustment on the second-type air conditioning subsystem according to the comfort level adjustment parameter corresponding to the second-type air conditioning subsystem.
In an example, the second type of air conditioning subsystem includes at least one air conditioner, and the air conditioners in the second type of air conditioning subsystem may be distributed in an office area of a building, a conference room, or the like.
In an example, the power decrease value Δp of the air conditioning system is less than the power adjustment amount P T Based on the temperature parameter and comfort related function and the initial temperature parameter T of the air conditioning subsystem of the office area 0 Obtaining the comfort degree f corresponding to the initial temperature parameter before power adjustment 0 。
In an example, the comfort level f corresponding to the initial temperature parameter before power adjustment 0 And a preset comfort level adjustment amount Deltaf to determine a target comfort level f T And taking the target comfort level as a comfort level adjusting parameter corresponding to the air conditioning subsystem of the office area.
In the above scheme, the cloud platform management system may perform partition control on the air-conditioning subsystem according to the type of the area to which the air-conditioning subsystem belongs, and perform power adjustment on the air-conditioning subsystem according to the priority order of the air-conditioning subsystem. Therefore, the influence on the production and operation activities of enterprises can be reduced, and the energy supply requirements of the production and operation activities are met.
In one implementation manner, in the step a302, according to the comfort level adjustment parameter corresponding to the second type of air conditioning subsystem, the power adjustment of the second type of air conditioning subsystem, referring to fig. 4, may include the following steps:
Step a401: a first correlation function is obtained, the first correlation function being used to indicate a correlation function of the temperature parameter and the comfort level.
In an example, comfort is defined as F (T, F, V), where parameter T is a temperature parameter, F is a wind speed parameter, and V is a moderation parameter. The first correlation function may reflect a correlation of the temperature parameter T and the comfort level F (T, F, V).
In an example, referring to table 2, the control parameters corresponding to the comfort level include a temperature parameter, a wind speed parameter, and a humidity parameter, and the control parameters corresponding to the comfort level are subjected to correlation analysis to determine a correlation function indicating the temperature parameter and the comfort level.
Table 2 control parameters corresponding to comfort level
| Data type | Comfort level | Temperature parameter | Wind speed parameter | Humidity parameter |
| Data identification | f(T，F，V) | T | F | V |
In an example, the correlation function of temperature parameter and comfort is as follows:
f(T，F，V)＝(aT+b)(c+dF)+(T-e)/(f-T)-gV+h (1)
in an example, a=1.818, b=18.18, c=0.88, d=0.002, e=32, f=45, g=3.2, h=18.2. In this case, the correlation function F (T, F, V) = (1.818t+18.18) (0.88+0.002f) + (T-32)/(45-T) -3.2v+18.2 for temperature parameter and comfort.
Step a402: determining the comfort level corresponding to the initial temperature parameter according to the first correlation function and the initial temperature parameter of the second type air conditioning subsystem; and determining the target comfort level according to the comfort level corresponding to the initial temperature parameter and the preset comfort level adjustment quantity.
In an example, the initial temperature parameter T of the air conditioning subsystem of the office area is determined according to a first correlation function F (T, F, V) 0 Obtaining the comfort degree f corresponding to the initial temperature parameter before power adjustment 0 . According to the comfort degree f corresponding to the initial temperature parameter before power adjustment 0 And a preset comfort level adjustment amount Deltaf to determine a target comfort level f T ＝f 0 +△f。
In an example, a preset comfort level adjustment is determined based on an operating mode of the air conditioning subsystem. Here, the operation modes of the air conditioning subsystem may include a heating mode, a cooling mode. For example, the comfort level adjustment amount of the heating mode and the comfort level adjustment amount of the cooling mode are-10 and +10, respectively.
Step A403: determining a temperature parameter corresponding to the target comfort level according to the target comfort level and the first correlation function; and carrying out power adjustment on the second type of air conditioning subsystem according to the temperature parameter corresponding to the target comfort level.
In an example, in the heating mode, a preset comfort adjustment amount Δf= -10, and the comfort level of the user in the front office area is adjusted to be 50, and the target comfort level is f T ＝f 0 + [ DELTA ] f=40, the target comfort level f T The temperature parameter T corresponding to=40 is taken as the temperature parameter after power adjustment.
In an example, in the cooling mode, a preset comfort adjustment amount Δf= +10, and the comfort level of the user in the front office area is adjusted to be 50, the target comfort level is f T ＝f 0 + [ DELTA ] f=60, the target comfort level f T The temperature parameter T corresponding to=60 is taken as the temperature parameter after power adjustment.
In the above scheme, the comfort corresponding to the initial temperature parameter is taken as a reference in consideration of the influence of the temperature parameter change on the comfort, and the target comfort is determined in combination with the preset comfort adjustment amount, so that the comfort of the temperature parameter after power adjustment is in a controllable range, and accordingly, the accuracy of power adjustment is improved.
In one implementation manner, in the step a403, power adjustment is performed on the second type of air conditioning subsystem according to the temperature parameter corresponding to the target comfort level, referring to fig. 5, the method may include the following steps:
step a501: a second correlation function is obtained, the second correlation function being used to indicate a correlation function of load power and temperature parameters of the second class of air conditioning subsystems.
In an example, regression analysis is performed on historical power data of the air conditioning subsystem, and a correlation function of the load power P and the temperature parameter T of the air conditioning subsystem is calculated as follows:
P(T，F，V)＝k1*T+k2*F+k3*V+K (2)
where K1, K2, K3, K are constants, K1 is a coefficient of the temperature parameter T, K2 is a coefficient of the wind speed parameter T, and K3 is a coefficient of the humidity parameter T.
Step A502: and determining the target power parameter of the second type of air conditioning subsystem according to the second correlation function and the temperature parameter corresponding to the target comfort level.
In an example, referring to table 3, in the case that the wind speed parameter F and the humidity parameter V are unchanged, the target power parameter of the air conditioning subsystem of the office area is determined according to the temperature parameter corresponding to the target comfort and the related function of the load power and the temperature parameter.
TABLE 3 control parameters corresponding to target Power parameters
| Data type | Power of | Temperature parameter | Wind speed parameter | Humidity parameter |
| Data identification | P | T | F | V |
In an example, the target power parameter of the air conditioning subsystem of the office area may be a power parameter of a compressor of the air conditioning subsystem of the office area.
In an example, the type of the air conditioner may be a variable frequency air conditioner, where the variable frequency air conditioner may adjust a rotation speed of a compressor in the air conditioner through the variable frequency air conditioner, thereby affecting an energy efficiency ratio of the air conditioner.
It should be appreciated that adjusting the rotational speed of the compressor based on the power frequency of the compressor may affect the operating power of the air conditioner in the air conditioning subsystem.
Step A503: and performing power adjustment on the second type of air conditioning subsystem according to the target power parameter.
In an example, power adjustment is performed on an air conditioning subsystem of an office area according to a target power parameter, and after power adjustment is performed on the air conditioning subsystem of the office area, a power reduction value Δp= Δp1+ [ delta ] P2 of the air conditioning system is obtained.
In the above scheme, considering the influence of the power parameter of the compressor on the temperature parameter of the air conditioner, determining the temperature parameter corresponding to the target comfort according to the correlation function of the load power P and the temperature parameter T of the air conditioner, and determining the target power parameter to be satisfied. Therefore, after the power parameter of the compressor is adjusted, the temperature parameter T of the air conditioner meets the corresponding comfort level requirement.
In one implementation, in the case that the air conditioning system includes a first type of air conditioning subsystem, a second type of air conditioning subsystem, and a third type of air conditioning subsystem, the priority order is the first type of air conditioning subsystem, the second type of air conditioning subsystem, the third type of air conditioning subsystem; the third type of air conditioning subsystem belongs to the production area.
In the step a302, after performing power adjustment on the second type air conditioning subsystem according to the comfort level adjustment parameter corresponding to the second type air conditioning subsystem, referring to fig. 6, the method may further include the following steps:
Step A601: and updating the power reduction value of the air conditioning system, and acquiring the difference value between the power reduction value and the power adjustment quantity under the condition that the power reduction value is smaller than the power adjustment quantity.
In an example, after power adjustment is performed on the air conditioning subsystem of the office area according to the comfort adjustment parameter corresponding to the air conditioning subsystem of the office area, the power reduction value of the air conditioning system is updated, and at this time, the power reduction value Δp= Δp1+ [ delta ] P2 of the air conditioning system.
Step A602: and carrying out power adjustment on the third type of air conditioning subsystem according to the difference value of the power reduction value and the power adjustment quantity.
In an example, the third type of air conditioning subsystem includes at least one air conditioner, and the air conditioners in the third type of air conditioning subsystem may be distributed in a production area of a building, a storage room, etc.
In an example, a power decrease value Δp and a power adjustment amount P of an air conditioning system are acquired T Is the difference P of (2) T Syndrome of deficiency the number P of the block is P, when P T -△P>At 0, according to the difference P between the power reduction value and the power adjustment amount T - Δp, power conditioning the air conditioning subsystem of the production area.
It should be understood that Δp= Δp1+ [ Δp2 ], when the power decrease value Δp of the air conditioning system is smaller than the power adjustment amount P T At the time P T -△P>0。
In this case, the air conditioning subsystem of the production area may be partially shut down, resulting in a power drop value Δp3 of the air conditioning system, at which time the power drop value Δp= Δp1+ [ Δp2+ [ Δp3 ] of the air conditioning system is greater than or equal to P when Δp= Δp1+ [ Δp2+ [ Δp3 ]. Gtoreq. T And meeting the requirement information of power regulation.
In the above scheme, the power adjustment is performed on the air conditioning subsystem of the production area according to the difference between the power reduction value and the power adjustment amount. Therefore, the influence on the production and operation activities of enterprises can be reduced, and the energy supply requirements of the production and operation activities are met.
In one implementation, in the step a201, the acquiring the state information of the air conditioning system, see fig. 7, may include the following steps:
step a701: predicting a load power predicted value of each air conditioning subsystem in a power adjustment period according to the historical power data of each air conditioning subsystem; and determining the adjustable capacity of each air conditioning subsystem according to the load power predicted value.
In an example, historical power data of the air conditioning subsystem is obtained, time series features in the historical power data are extracted, and a load power predicted value of the air conditioning subsystem in a power adjustment period is predicted according to the time series features in the historical power data.
In an example, an operating power curve of the air conditioning subsystem is plotted according to a load power prediction value of the air conditioning subsystem during a power adjustment period, and an adjustable capacity of the air conditioning subsystem during the power adjustment period is determined according to the operating power curve.
Hereinafter, the adjustable capacities of the air conditioning subsystems of different areas are described separately.
For the air conditioning subsystem in the public area, the power reduction value of the air conditioning subsystem in the public area after the air conditioning subsystem in the public area is shut down can be predicted according to the operation power curve of the air conditioning subsystem in the public area, so that the adjustable capacity delta P1 of the air conditioning subsystem in the public area is obtained.
For the air conditioning subsystem of the office area, the power reduction value of the air conditioning system after the power adjustment of the air conditioning subsystem by adopting the comfort level adjustment parameter can be predicted according to the operation power curve of the air conditioning subsystem of the public area, so as to obtain the adjustable capacity delta P2 of the air conditioning subsystem of the office area.
For the air conditioning subsystem of the production area, the power reduction value of the air conditioning subsystem of the production area after the air conditioning subsystem of the production area is shut down can be predicted according to the operation power curve of the air conditioning subsystem of the public area, so that the adjustable capacity delta P3 of the air conditioning subsystem of the production area is obtained.
In the scheme, according to the historical power data of the air conditioner subsystem, the load power predicted value of the air conditioner subsystem in the power adjustment period is predicted; and determining the adjustable capacity of the air conditioning subsystem according to the load power predicted value, so that the accuracy of power control of the air conditioning subsystem can be improved when the power of the air conditioning subsystem is dynamically controlled in the power peak period.
Step a702: and determining the priority order of each air conditioning subsystem in power adjustment according to the working area of each air conditioning subsystem.
In an example, referring to table 1, the cloud platform management system determines a priority order of the air conditioning subsystem at the time of power adjustment according to a correspondence relationship between a work area of the air conditioning subsystem and the work area-priority order.
Step a703: and acquiring state information of the air conditioning systems according to the adjustable capacity of each air conditioning subsystem and the priority order of each air conditioning subsystem in power adjustment.
In the above scheme, the priority order of the air conditioning subsystem during power adjustment is determined according to the working area of the air conditioning subsystem, so that the air conditioning subsystem can be controlled in a partitioning manner according to the type of the area to which the air conditioning subsystem belongs, and the flexibility of power control of the air conditioning subsystem is improved.
In one implementation, in the step a701, predicting the load power prediction value of each air conditioning subsystem in the power adjustment period according to the historical power data of each air conditioning subsystem, referring to fig. 8, may include the following steps:
step a801: and collecting the load power of each air conditioning subsystem according to a preset sampling time period to obtain historical power data of each air conditioning subsystem.
In an example, a preset sampling time period is adopted as a time interval, and real-time running power of the air conditioning subsystem is collected to obtain historical power data of the air conditioning subsystem. And sending the real-time running power of the air conditioning subsystem to the cloud platform management system.
Step a802: and carrying out time sequence analysis on the historical power data of each air conditioning subsystem to obtain a load power predicted value of each air conditioning subsystem in a power adjustment period.
In an example, a cloud platform management system obtains historical power data of an air conditioning subsystem, extracts time series features in the historical power data, and predicts a load power predicted value of the air conditioning subsystem in a power adjustment period according to the time series features in the historical power data.
In an example, the cloud platform management system obtains a historical power curve of the air conditioning subsystem according to historical power data of the air conditioning subsystem, predicts an operation power curve of the air conditioning subsystem according to the historical power curve, and obtains a predicted power curve of the air conditioning subsystem.
In an embodiment, referring to table 4, the predicted power curve may include the total operating power and adjustable capacity of the air conditioning subsystem for each zone.
TABLE 4 Total operating Power and Adjustable Capacity
Based on the same technical concept as the foregoing embodiments, referring to fig. 9, the power control method provided by the embodiment of the present application may include the following steps:
step A901: determining demand information for power regulation, the demand information including a power regulation period and a power regulation amount P T 。
Step a902: and predicting a load power predicted value of the air conditioner subsystem in a power adjustment period according to the historical power data of the air conditioner subsystem.
Step a903: and closing the air conditioning subsystem of the public area, and determining the power reduction value delta P of the air conditioning system.
Step a904: determining whether a power reduction value Δp of an air conditioning system is less than a power adjustment amount P T 。
In an example, at a power reduction value Δp less than the power adjustment amount P T If so, the following step a905 is continued, otherwise the following step a909 is performed.
Step a905: and carrying out power adjustment on the air conditioning subsystem of the office area according to the comfort level adjustment parameter, and updating the power reduction value delta P.
Step a906: determining whether a power reduction value Δp of an air conditioning system is less than a power adjustment amount P T 。
In an example, at a power reduction value Δp less than the power adjustment amount P T If so, the following step a907 is continued, otherwise the following step a909 is executed.
Step A907: based on the power decrease value DeltaP and the power adjustment amount P T And (3) performing power adjustment on the air conditioning subsystem of the production area.
Step a908: determining whether a power reduction value Δp of an air conditioning system is less than a power adjustment amount P T 。
In an example, when the power decrease value Δp is greater than the power adjustment amount P T In the case of (a), the following step a909 is continued.
In an example, the power decrease value ΔP is less than the power adjustment amount P T In the case of (c), the above step a907 is continued.
Step A909: and (5) ending.
Based on the same technical concept as the foregoing embodiments, referring to fig. 10, the power control apparatus provided in the embodiment of the present application may include:
a determining module 1001, configured to determine requirement information of power adjustment, where the requirement information includes a power adjustment period and a power adjustment amount; the power adjustment is used to indicate a capacity to reduce power;
an obtaining module 1002, configured to obtain status information of the air conditioning system, where the air conditioning system includes an air conditioning subsystem of at least one area; the status information is used for indicating the priority order and adjustable capacity of the air conditioning subsystem of each area in power adjustment;
and a control module 1003, configured to perform power control on the air conditioning subsystem of the at least one area in the power adjustment period according to the power adjustment amount and the status information, so that a power reduction value of the air conditioning subsystem is greater than or equal to the power adjustment amount.
In one implementation, in a case where the air conditioning system includes a first type of air conditioning subsystem and a second type of air conditioning subsystem, the priority order is the first type of air conditioning subsystem, the second type of air conditioning subsystem; the first type air conditioning subsystem belongs to a public area, and the second type air conditioning subsystem belongs to an office area;
the control module 1003 is configured to perform power control on the at least one air conditioning subsystem in the power adjustment period according to the power adjustment amount and the status information, and includes:
closing the first type air conditioning subsystem, and determining a power reduction value of the air conditioning system according to the adjustable capacity of the first type air conditioning subsystem;
and under the condition that the power reduction value is smaller than the power adjustment quantity, performing power adjustment on the second-type air conditioning subsystem according to the comfort level adjustment parameter corresponding to the second-type air conditioning subsystem.
In one implementation manner, the control module 1003 is configured to perform power adjustment on the second type of air conditioning subsystem according to a comfort level adjustment parameter corresponding to the second type of air conditioning subsystem, and includes:
acquiring a first correlation function, wherein the first correlation function is used for indicating a correlation function of a temperature parameter and comfort level;
Determining the comfort corresponding to the initial temperature parameter according to the first correlation function and the initial temperature parameter of the second type air conditioning subsystem; determining target comfort level according to the comfort level corresponding to the initial temperature parameter and a preset comfort level adjustment amount;
determining a temperature parameter corresponding to the target comfort level according to the target comfort level and the first correlation function; and carrying out power adjustment on the second type air conditioning subsystem according to the temperature parameter corresponding to the target comfort level.
In one implementation manner, the control module 1003 is configured to perform power adjustment on the second type of air conditioning subsystem according to the temperature parameter corresponding to the target comfort level, and includes:
acquiring a second correlation function, wherein the second correlation function is used for indicating a correlation function of load power and temperature parameters of the second type of air conditioning subsystem;
determining a target power parameter of the second type air conditioning subsystem according to the second correlation function and the temperature parameter corresponding to the target comfort level;
and carrying out power adjustment on the second type air conditioning subsystem according to the target power parameter.
In one implementation, in a case that the air conditioning system includes a first type of air conditioning subsystem, a second type of air conditioning subsystem, and a third type of air conditioning subsystem, the priority order is the first type of air conditioning subsystem, the second type of air conditioning subsystem, and the third type of air conditioning subsystem; the third type of air conditioning subsystem belongs to a production area;
The control module 1003 is configured to perform power adjustment on the second type air conditioning subsystem according to the comfort level adjustment parameter corresponding to the second type air conditioning subsystem, where the method further includes:
updating a power reduction value of the air conditioning system, and acquiring a difference value between the power reduction value and the power adjustment quantity under the condition that the power reduction value is smaller than the power adjustment quantity;
and carrying out power regulation on the third type of air conditioning subsystem according to the difference value of the power reduction value and the power regulation quantity.
In one implementation, the obtaining module 1002 is configured to obtain status information of the air conditioning system, and includes:
according to the historical power data of the air conditioning subsystem, predicting a load power predicted value of the air conditioning subsystem in the power adjustment period; determining the adjustable capacity of the air conditioning subsystem according to the load power predicted value;
determining the priority order of the air conditioning subsystem during power adjustment according to the working area of the air conditioning subsystem;
and acquiring state information of the air conditioning systems according to the adjustable capacity of each air conditioning subsystem and the priority order of each air conditioning subsystem in power adjustment.
In one implementation, the obtaining module 1002 is configured to predict, according to historical power data of the air conditioning subsystem, a load power predicted value of the air conditioning subsystem in the power adjustment period, where the predicting includes:
collecting the load power of the air conditioning subsystem according to a preset sampling time period to obtain historical power data of the air conditioning subsystem;
and carrying out time sequence analysis on the historical power data of the air conditioning subsystem to obtain a load power predicted value of the air conditioning subsystem in the power adjustment period.
In practical applications, the determining module 1001, the obtaining module 1002 and the controlling module 1003 may be implemented by a processor of an electronic device, where the processor may be at least one of ASIC, DSP, DSPD, PLD, FPGA, CPU, a controller, a microcontroller and a microprocessor, which is not limited in this embodiment of the present application.
In some embodiments, the functions or modules included in the apparatus provided by the embodiments of the present application may be used to perform the methods described in the foregoing method embodiments, and specific implementations thereof may refer to descriptions of the foregoing method embodiments, which are not repeated herein for brevity.
Based on the same technical concept as the foregoing embodiments, referring to fig. 11, an electronic device 1100 provided by an embodiment of the present application may include: a memory 1110 and a processor 1120; wherein, the liquid crystal display device comprises a liquid crystal display device,
A memory 1110 for storing computer programs and data;
a processor 1120 for executing a computer program stored in a memory to implement any one of the power control methods of the foregoing embodiments.
In actual applications, the memory 1110 may be a volatile memory (RAM), for example; or a non-volatile memory (non-volatile memory), exemplified by ROM, flash memory (flash memory), hard Disk (HDD) or Solid State Drive (SSD); or a combination of memories of the above kind. The memory 1110 may provide instructions and data to the processor 1120.
The foregoing description of various embodiments is intended to emphasize the differences between the various embodiments, which may be the same or similar as each other and are not repeated herein for brevity
The methods disclosed in the method embodiments provided by the application can be arbitrarily combined under the condition of no conflict to obtain a new method embodiment.
The features disclosed in the embodiments of the products provided by the application can be combined arbitrarily under the condition of no conflict to obtain new embodiments of the products.
The features disclosed in the embodiments of the method or the device provided by the application can be arbitrarily combined under the condition of no conflict to obtain a new embodiment of the method or the device.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are merely illustrative, and exemplary, the division of units is merely a logical function division, and there may be other manners of division in actual implementation, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to a device or unit, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components displayed as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of grid units; the object of the present embodiment can be achieved according to the fact that some or all of the units thereof can be selected.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing module, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps of implementing the above method embodiments may be implemented by hardware associated with program instructions, and the above program may be stored in a computer readable storage medium, which when executed, performs steps including the above method embodiments.
The above is only a specific embodiment of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions should be covered in the scope of the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.
Claims (8)
1. A method of power control, comprising:
determining demand information for power regulation, the demand information including a power regulation period and a power regulation amount; the power adjustment is used to indicate a capacity to reduce power;
acquiring state information of an air conditioning system, wherein the air conditioning system comprises an air conditioning subsystem of at least one area; the status information is used for indicating the priority order and adjustable capacity of the air conditioning subsystem of each area in power adjustment;
According to the power adjustment quantity and the state information, performing power control on the air conditioning subsystem of the at least one area in the power adjustment period, so that the power reduction value of the air conditioning subsystem is greater than or equal to the power adjustment quantity;
wherein, in the case that the air conditioning system comprises a first type air conditioning subsystem and a second type air conditioning subsystem, the priority order is the first type air conditioning subsystem and the second type air conditioning subsystem; the first type air conditioning subsystem belongs to a public area, and the second type air conditioning subsystem belongs to an office area;
the power control of the at least one air conditioning subsystem in the power adjustment period according to the power adjustment amount and the state information includes:
closing the first type air conditioning subsystem, and determining a power reduction value of the air conditioning system according to the adjustable capacity of the first type air conditioning subsystem;
under the condition that the power reduction value is smaller than the power adjustment quantity, performing power adjustment on the second-type air conditioning subsystem according to the comfort level adjustment parameter corresponding to the second-type air conditioning subsystem;
wherein, according to the comfort level adjustment parameter corresponding to the second type air conditioning subsystem, power adjustment is performed on the second type air conditioning subsystem, including:
Acquiring a first correlation function, wherein the first correlation function is used for indicating a correlation function of a temperature parameter and comfort level;
determining the comfort corresponding to the initial temperature parameter according to the first correlation function and the initial temperature parameter of the second type air conditioning subsystem; determining target comfort level according to the comfort level corresponding to the initial temperature parameter and a preset comfort level adjustment amount;
determining a temperature parameter corresponding to the target comfort level according to the target comfort level and the first correlation function; and carrying out power adjustment on the second type air conditioning subsystem according to the temperature parameter corresponding to the target comfort level.
2. The method of claim 1, wherein the performing power adjustment on the second type of air conditioning subsystem according to the temperature parameter corresponding to the target comfort level comprises:
acquiring a second correlation function, wherein the second correlation function is used for indicating a correlation function of load power and temperature parameters of the second type of air conditioning subsystem;
determining a target power parameter of the second type air conditioning subsystem according to the second correlation function and the temperature parameter corresponding to the target comfort level;
And carrying out power adjustment on the second type air conditioning subsystem according to the target power parameter.
3. The method of claim 1, wherein, in the case where the air conditioning system includes a first type of air conditioning subsystem, a second type of air conditioning subsystem, and a third type of air conditioning subsystem, the priority order is the first type of air conditioning subsystem, the second type of air conditioning subsystem, the third type of air conditioning subsystem; the third type of air conditioning subsystem belongs to a production area;
after the power of the second type air conditioning subsystem is adjusted according to the comfort level adjustment parameter corresponding to the second type air conditioning subsystem, the method further comprises:
updating a power reduction value of the air conditioning system, and acquiring a difference value between the power reduction value and the power adjustment quantity under the condition that the power reduction value is smaller than the power adjustment quantity;
and carrying out power regulation on the third type of air conditioning subsystem according to the difference value of the power reduction value and the power regulation quantity.
4. The method of claim 1, wherein the obtaining the status information of the air conditioning system comprises:
predicting a load power predicted value of each air conditioning subsystem in the power adjustment period according to the historical power data of each air conditioning subsystem; determining the adjustable capacity of each air conditioning subsystem according to the load power predicted value;
Determining the priority order of each air conditioning subsystem in power adjustment according to the working area of each air conditioning subsystem;
and acquiring state information of the air conditioning systems according to the adjustable capacity of each air conditioning subsystem and the priority order of each air conditioning subsystem in power adjustment.
5. The method of claim 4, wherein predicting a load power prediction value for each of the air conditioning subsystems during the power adjustment period based on historical power data for each of the air conditioning subsystems comprises:
collecting the load power of each air conditioning subsystem according to a preset sampling time period to obtain historical power data of each air conditioning subsystem;
and carrying out time sequence analysis on the historical power data of each air conditioning subsystem to obtain a load power predicted value of each air conditioning subsystem in the power adjustment period.
6. A power control apparatus, comprising:
a determining module, configured to determine requirement information of power adjustment, where the requirement information includes a power adjustment period and a power adjustment amount; the power adjustment is used to indicate a capacity to reduce power;
The system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring state information of an air conditioning system, and the air conditioning system comprises an air conditioning subsystem of at least one area; the status information is used for indicating the priority order and adjustable capacity of the air conditioning subsystem of each area in power adjustment;
the control module is used for controlling the power of the air conditioning subsystem of the at least one area in the power adjusting period according to the power adjusting quantity and the state information, so that the power reduction value of the air conditioning subsystem is larger than or equal to the power adjusting quantity;
wherein, in the case that the air conditioning system comprises a first type air conditioning subsystem and a second type air conditioning subsystem, the priority order is the first type air conditioning subsystem and the second type air conditioning subsystem; the first type air conditioning subsystem belongs to a public area, and the second type air conditioning subsystem belongs to an office area;
the control module is configured to perform power control on the at least one air conditioning subsystem in the power adjustment period according to the power adjustment amount and the status information, and includes:
closing the first type air conditioning subsystem, and determining a power reduction value of the air conditioning system according to the adjustable capacity of the first type air conditioning subsystem;
Under the condition that the power reduction value is smaller than the power adjustment quantity, performing power adjustment on the second-type air conditioning subsystem according to the comfort level adjustment parameter corresponding to the second-type air conditioning subsystem;
wherein, according to the comfort level adjustment parameter corresponding to the second type air conditioning subsystem, power adjustment is performed on the second type air conditioning subsystem, including:
acquiring a first correlation function, wherein the first correlation function is used for indicating a correlation function of a temperature parameter and comfort level;
determining the comfort corresponding to the initial temperature parameter according to the first correlation function and the initial temperature parameter of the second type air conditioning subsystem; determining target comfort level according to the comfort level corresponding to the initial temperature parameter and a preset comfort level adjustment amount;
determining a temperature parameter corresponding to the target comfort level according to the target comfort level and the first correlation function; and carrying out power adjustment on the second type air conditioning subsystem according to the temperature parameter corresponding to the target comfort level.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the power control method of any one of claims 1 to 5 when the program is executed.
8. A computer storage medium storing a computer program; characterized in that the computer program, when executed, is capable of implementing the power control method of any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111657772.9A CN114322210B (en) | 2021-12-30 | 2021-12-30 | Power control method, device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111657772.9A CN114322210B (en) | 2021-12-30 | 2021-12-30 | Power control method, device, electronic equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114322210A CN114322210A (en) | 2022-04-12 |
| CN114322210B true CN114322210B (en) | 2023-09-22 |
Family
ID=81018619
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111657772.9A Active CN114322210B (en) | 2021-12-30 | 2021-12-30 | Power control method, device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114322210B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002013778A (en) * | 2000-06-29 | 2002-01-18 | Mitsubishi Heavy Ind Ltd | Power control method and device of air conditioner, and computer-readable record medium |
| WO2013038470A1 (en) * | 2011-09-12 | 2013-03-21 | 富士通株式会社 | Cooling system, cooling method, and cooling control program |
| CN105135623A (en) * | 2015-09-17 | 2015-12-09 | 国网天津市电力公司 | Central air-conditioner deloading control method capable of meeting power grid peak shaving and user comfort level |
| CN109861889A (en) * | 2018-12-25 | 2019-06-07 | 歌尔科技有限公司 | Electric appliance peak power adjusting method, device, server and storage medium |
| CN110307624A (en) * | 2019-06-04 | 2019-10-08 | 珠海格力电器股份有限公司 | Control method, device, storage medium and the control equipment of air conditioning multi-couple system |
| CN112665141A (en) * | 2021-01-21 | 2021-04-16 | 广东美的制冷设备有限公司 | Air conditioner, control method and device thereof and storage medium |
| JP2021076309A (en) * | 2019-11-11 | 2021-05-20 | 東京電力ホールディングス株式会社 | Estimation method, estimation device, program, and generation method of learned model |
| CN112909934A (en) * | 2021-01-29 | 2021-06-04 | 国网浙江义乌市供电有限公司 | Power grid load non-inductive regulation and control method |
| CN113606745A (en) * | 2021-07-27 | 2021-11-05 | 佛山市顺德区美的电子科技有限公司 | Air conditioner detection method, device and equipment, air conditioner and storage medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR100529907B1 (en) * | 2003-06-19 | 2005-11-22 | 엘지전자 주식회사 | Air conditioner's central controlling system and its operating method |
-
2021
- 2021-12-30 CN CN202111657772.9A patent/CN114322210B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002013778A (en) * | 2000-06-29 | 2002-01-18 | Mitsubishi Heavy Ind Ltd | Power control method and device of air conditioner, and computer-readable record medium |
| WO2013038470A1 (en) * | 2011-09-12 | 2013-03-21 | 富士通株式会社 | Cooling system, cooling method, and cooling control program |
| CN105135623A (en) * | 2015-09-17 | 2015-12-09 | 国网天津市电力公司 | Central air-conditioner deloading control method capable of meeting power grid peak shaving and user comfort level |
| CN109861889A (en) * | 2018-12-25 | 2019-06-07 | 歌尔科技有限公司 | Electric appliance peak power adjusting method, device, server and storage medium |
| CN110307624A (en) * | 2019-06-04 | 2019-10-08 | 珠海格力电器股份有限公司 | Control method, device, storage medium and the control equipment of air conditioning multi-couple system |
| JP2021076309A (en) * | 2019-11-11 | 2021-05-20 | 東京電力ホールディングス株式会社 | Estimation method, estimation device, program, and generation method of learned model |
| CN112665141A (en) * | 2021-01-21 | 2021-04-16 | 广东美的制冷设备有限公司 | Air conditioner, control method and device thereof and storage medium |
| CN112909934A (en) * | 2021-01-29 | 2021-06-04 | 国网浙江义乌市供电有限公司 | Power grid load non-inductive regulation and control method |
| CN113606745A (en) * | 2021-07-27 | 2021-11-05 | 佛山市顺德区美的电子科技有限公司 | Air conditioner detection method, device and equipment, air conditioner and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114322210A (en) | 2022-04-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101424436B (en) | Intelligent optimizing control system and method for central air-conditioning | |
| US20210148592A1 (en) | Building cooling systems with energy optimization and model predictive control | |
| CN110223005B (en) | Air conditioner load power supply reliability assessment method and assessment device | |
| WO2021179250A1 (en) | Systems and methods for controlling variable refrigerant flow systems and equipment using artificial intelligence models | |
| CN109237703B (en) | Control method for multi-split air conditioning system | |
| CN111442483B (en) | Air conditioning equipment, control method and device thereof and electronic equipment | |
| EP2757433A2 (en) | A HVAC system configured based on atmospheric data, an interface for receiving the atmospheric data and a controller configured to setup the HVAC system based on the atmospheric data | |
| WO2013130264A1 (en) | Improved efficiency heating, ventilating, and air-conditioning through extended run-time control | |
| CN105157183A (en) | Adjusting and control method for air conditioner | |
| CN115017006A (en) | Auxiliary energy-saving control method and system for data center | |
| CN114234400B (en) | Multi-module unit control method, device, computer equipment and storage medium | |
| CN110726219B (en) | Control method, device and system of air conditioner, storage medium and processor | |
| CN115289637A (en) | Temperature adjustment method, system, device, storage medium, and program product | |
| CN108302739B (en) | Temperature adjusting system and temperature adjusting method | |
| JP5936714B2 (en) | System controller, facility management system, demand control method and program | |
| CN114322210B (en) | Power control method, device, electronic equipment and storage medium | |
| US20190212027A1 (en) | Air-conditioning system, air-conditioning control method, and non-transitory computer readable medium storing program | |
| US20200309399A1 (en) | Air conditioning system, server system, network, method for controlling air conditioning system and method for controlling network | |
| Chowdhury et al. | Modelling and analysis of air-cooled reciprocating chiller and demand energy savings using passive cooling | |
| CN109698506B (en) | Response management method for flexible load interruption in building | |
| CN112543852B (en) | System and method for optimizing energy usage of a structure using a cluster-based rule mining method | |
| US20220373206A1 (en) | Chiller controller for optimized efficiency | |
| CN114526537B (en) | Equipment energy-saving control method and device | |
| Sivaneasan et al. | Interruptible load scheme: Demand response management for buildings | |
| CN113932375B (en) | Household charging method of multi-split system and multi-split system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |