Cooling load clustering control method and device based on demand side active response

Abstract

The invention discloses a cooling load clustering control method and device based on demand side active response, and the method comprises the following steps: 1), predicting an air conditioner load curve based on the operation condition of an air conditioner; 2) constructing an air conditioner cooling load control optimization model based on the air conditioner load curve; and 3) solving the air conditioner cooling load control optimization model to realize the control of the air conditioner state. By regulating and controlling the set temperature of the air conditioner, the potential mining of temperature regulation and load reduction of the aggregated air conditioner nodes is realized, and the power supply pressure can be relieved when short-time power shortage of the power grid occurs.

Description

Technical Field

[0001] The present invention relates to the field of load control of power systems, and in particular to a cooling load clustering control method and device based on active response on the demand side. Background Art

[0002] The power system includes four links: "source (power generation) - grid (transmission and distribution network) - load (power load) - storage (energy storage system)". "Source" refers to the power generation source in the power system, "grid" refers to the transmission network, "load" refers to the load of the power system, and "storage" refers to the energy storage equipment in the power system.

[0003] There are several main ways to solve the current contradiction between electricity supply and demand. The first way is to start from the "source side", optimize the power generation plan according to the load situation, and build more power plants including wind power, photovoltaic and other renewable energy sources. The focus is on meeting power demand and improving energy efficiency through reasonable planning and scheduling of power generation resources, but the construction of power plants requires high manpower and material costs; the second way is to start from the "grid side", and improve the transmission efficiency by optimizing the planning and operation of the transmission network including high-voltage transmission lines and substations, but its technical implementation is highly complex and requires high prediction accuracy and scheduling capabilities; the third way is to start from the "load side", vigorously develop the demand response of load-side resources. The fourth approach is to start from the "storage side" and realize peak-shaving and valley-filling and standby dispatching of the power system through reasonable planning and operation of energy storage equipment, so as to improve the flexibility and reliability of the power system. The disadvantages are also obvious. This method relies more on the improvement of energy storage technology, and the storage time limit and power quality cannot be guaranteed. Summary of the invention

[0004] The object of the present invention is to provide a cooling load clustering control method based on active response on the demand side, comprising the following steps:

[0005] 1) Predict the air conditioning load curve based on the air conditioning operation status;

[0006] 2) Based on the air conditioning load curve, an air conditioning cooling load control optimization model is constructed;

[0007] 3) Solve the air conditioning cooling load control optimization model to realize the control of air conditioning status.

[0008] Further, the steps of predicting the air conditioning load curve include:

[0009] s1) Construct the expression of building space temperature change, namely:

[0010]

[0011] Where, T in (t), T out (t) represents the indoor and outdoor temperatures at time t respectively; C is the equivalent heat capacity; R is the equivalent thermal resistance; η is the air conditioning energy efficiency ratio; P is the cooling / heating power of the air conditioner;

[0012] s2) Simplify the expression of building space temperature change to obtain the building space temperature change model, namely:

[0013] T in (t+1)=T out (t+1)-(T out (t+1)-T in (t))e (-Δt / RC) ,S t =0 (2)

[0014] T in (t+1)=T out (t+1)-ηPR-(T out (t+1)-ηPR-T in (t))e (-Δt / RC) ,S t =1 (3)

[0015] Where, T in (t), T out (t) represents the indoor and outdoor temperatures at time t respectively; C is the equivalent heat capacity; R is the equivalent thermal resistance; S t represents the air conditioner start / stop state variable, 1 means the air conditioner is on, 0 means the air conditioner is off; η is the air conditioner energy efficiency ratio; P is the cooling / heating power of the air conditioner; Δt is the time interval between two times; T out (t+1), T in (t+1) represents the outdoor and indoor temperatures at time t+1 respectively;

[0016] s3) Calculate the power consumption of the air conditioner during one operation cycle, that is:

[0017]

[0018] Where P S is the average power of the air conditioner in one operating cycle, P 0 is the rated power of the air conditioner, T on is the operating time of the air conditioner in the cycle, T off It is the time during the cycle when the air conditioner stops running;

[0019] s4) Calculate the energy of an air conditioner in one operating cycle, that is:

[0020] Q 输入 =η(P 0 ×T on )=Q 耗散 +Q 温升 (5)

[0021] In the formula, Q 输入 is the energy of one operation cycle of the air conditioner, Q 耗散 is the energy lost to the outside of the room in one cycle, Q 温升 is the energy lost due to temperature changes in the room, and η is the energy efficiency ratio of the air conditioner;

[0022] s5) Use the equivalent thermal parameter model to simulate the thermal dynamic process of air conditioning load, namely:

[0023]

[0024]

[0025] q 1 +q 2 +q 3 +q 4 +q 5 +q 6 =0(10)

[0026] In the formula, q 6 Absorb / release heat energy for furniture in building space; q 5 The indoor heat output by the air conditioner to the outside; 4 is the heat transferred from sunlight into the house; 3 Absorbs / releases heat energy for the air in the building space; q 2 The heat transferred from the adjacent building space to the interior through the wall; 1 P is the heat transferred from the outside to the inside through the wall; 额定 is the rated power of the air conditioner; C 1 , R 1 It is the equivalent heat capacity and equivalent thermal resistance when heat is transferred from outdoor to indoor through the wall; C 2 , R 2 It is the equivalent heat capacity and equivalent thermal resistance when the heat is transferred from the adjacent building space to the indoor space through the wall; C 3 It is the equivalent heat capacity of the air in the building space when absorbing / releasing heat; T 室外 , T 室内 , T 墙 It is the temperature of outdoor, indoor and wall.

[0027] s6) Monitor the temperature of the building space for a period of time T, and use the detection data to invert the model parameters of the equivalent thermal parameter model, thereby calculating and predicting the air conditioning load curve;

[0028] Furthermore, the optimization goal of the air conditioning cooling load control optimization model is to minimize the number of air conditioner shutdowns while meeting the expected load reduction, that is:

[0029]

[0030] In the formula, Actual load reduction for air conditioning; represents the load reduction of the i-th air conditioner under the control mode w; s i,w Indicates that the control mode w is adopted by the i-th air conditioner; s v,5 Indicates that the i-th air conditioner adopts control mode 5; w = 1, 2, 3, 4, 5; control mode 1 is no control, control mode 2 is to increase by 1°C, control mode 3 is to increase by 2°C, control mode 4 is to increase by 3°C, and control mode 5 is to shut down the air conditioner;

[0031] The constraints of the air conditioning cooling load control optimization model are as follows:

[0032]

[0033]

[0034] Where δ is the scheduling deviation requirement. is the total amount of air conditioning load that needs to be reduced, is the total amount of air conditioning load actually reduced.

[0035] A device based on the cooling load clustering control method includes a server, a load intelligent control terminal, and a mobile control terminal;

[0036] The server is used to remotely store, view, call and process the status information of all air conditioners online;

[0037] The mobile control terminal communicates with the load intelligent control terminal to remotely control the air conditioning state;

[0038] The load intelligent control terminal is used to manage the status of multiple air conditioners in the building space;

[0039] The load intelligent control terminal includes a receiving submodule, a transmitting submodule, and a core submodule;

[0040] The receiving submodule is used to collect the air conditioner input current and voltage and transmit them to the core submodule;

[0041] The core submodule calculates the air conditioner operating power based on the air conditioner input current and voltage, and feeds back to the server to monitor the air conditioner operating status. The control signal input by the user through the human-computer interaction interface or the custom control signal obtained by the air conditioner control algorithm in the server generates an air conditioner status adjustment signal, thereby remotely controlling the air conditioner status.

[0042] Furthermore, the load intelligent control terminal also includes a power supply module;

[0043] The power module supplies power to the receiving submodule, the transmitting submodule and the core submodule;

[0044] The power supply module includes an isolation switch power supply and a low voltage drop linear regulator circuit;

[0045] The isolating switch power supply is used to reduce the mains voltage;

[0046] The low voltage difference linear regulator circuit is used to reduce the voltage output by the isolation switch power supply to supply the core submodule and ensure the normal operation of the core submodule.

[0047] Furthermore, the receiving submodule includes an optical-to-electrical conversion module, a signal amplification module, and a high-speed sampling module;

[0048] The high-speed sampling module monitors the air conditioner input current and voltage, and transmits them to the signal amplification module;

[0049] The signal amplification module amplifies the air conditioner input current and voltage, and transmits them to the optical-electrical conversion module;

[0050] The optical-electrical conversion module converts the amplified air-conditioner input current and voltage into optical signals and transmits them to the core submodule.

[0051] Further, the sending submodule includes a signal sending module, a sending holding module, and an electrical-optical conversion module;

[0052] The electrical-optical conversion module converts the air conditioner state adjustment signal into an optical signal and transmits it to the signal sending module;

[0053] The signal sending module sends the optical signal to the air conditioner, thereby remotely controlling the state of the air conditioner;

[0054] The sending holding module is used to ensure that the optical signal reaches the air conditioner.

[0055] Furthermore, the core submodule includes a CPU module and a human-computer interaction interface;

[0056] The CPU module is used to calculate the air conditioner operating power and generate an air conditioner status adjustment signal;

[0057] The human-machine interaction interface is used to display the air conditioner input current and voltage, the air conditioner state adjustment signal, and to allow the user to input a control signal.

[0058] Furthermore, the load intelligent control terminal also includes a communication interface;

[0059] The communication interface includes an infrared module, a Wi-Fi module, a Bluetooth module, a 4G-CAT1 module, and a serial port module, which are adapted to various communication protocols;

[0060] The sending submodule remotely controls the air-conditioning status through the communication interface.

[0061] Furthermore, the remotely controlled air-conditioning status includes the temperature, wind speed, and working mode of the air-conditioning.

[0062] The technical effect of the present invention is unquestionable. Starting from load control and demand-side response, the present invention proposes an intelligent control method for user-side air-conditioning loads, and guides power users to improve their own efficiency and optimize electricity usage through economic, technical, administrative and other incentives, thereby achieving the purpose of optimizing resource allocation, alleviating the contradiction between power supply and demand, and realizing low-cost and high-quality power services. The present invention realizes the potential of temperature adjustment and load reduction of aggregated air-conditioning nodes by adjusting the air-conditioning set temperature, which can alleviate the power supply pressure when there is a short-term power shortage in the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 is the time-varying situation of air-conditioning working status and indoor temperature;

[0064] Figure 2 The actual cooling condition of the room;

[0065] Figure 3 It is the equivalent parameter model of the actual cooling situation of the room;

[0066] Figure 4 It is an intelligent interactive control architecture for cooling loads.

[0067] Figure 5 Schematic diagram for load control terminal use

[0068] Figure 6 It is the hardware structure of the load control terminal;

[0069] Figure 7 This is the circuit diagram of the power module;

[0070] Figure 8 This is the circuit schematic diagram of the electric energy metering module;

[0071] Fig. 9 This is the circuit schematic diagram of the infrared module;

[0072] Fig.10This is the circuit diagram of the Wi-Fi communication module;

[0073] Fig.11 This is the overall hardware circuit diagram;

[0074] Fig.12 To control the hardware circuit diagram of the terminal;

[0075] Fig.13 This is a schematic diagram of the load controller installation;

[0076] Fig.14 It is the infrared control flow chart;

[0077] Fig.15 Control the program flow for Wi-Fi;

[0078] Fig.16 This is a schematic diagram of the system cloud platform control interface;

[0079] Fig.17 For air conditioning control process;

[0080] Fig.18 It is the air conditioner operating power curve;

[0081] Fig.19 This is a schematic diagram of the use of the cooling load control terminal;

[0082] Fig. 20 Flowchart for demand side load control terminal operation. DETAILED DESCRIPTION

[0083] The present invention is further described below in conjunction with the embodiments, but it should not be understood that the above subject matter of the present invention is limited to the following embodiments. Without departing from the above technical ideas of the present invention, various substitutions and changes are made according to the common technical knowledge and customary means in the art, which should all be included in the protection scope of the present invention.

[0084] Embodiment 1:

[0085] See also Figures 1 to 20 , a cooling load clustering control method based on demand-side active response, comprising the following steps:

[0086] 1) Predict the air conditioning load curve based on the air conditioning operation status;

[0087] 2) Based on the air conditioning load curve, an air conditioning cooling load control optimization model is constructed;

[0088] 3) Solve the air conditioning cooling load control optimization model to realize the control of air conditioning status.

[0089] The steps to predict the air conditioning load curve include:

[0090] s1) Construct the expression of building space temperature change, namely:

[0091]

[0092] Where, T in (t), T out (t) represents the indoor and outdoor temperatures at time t respectively; C is the equivalent heat capacity; R is the equivalent thermal resistance; η is the air conditioning energy efficiency ratio; P is the cooling / heating power of the air conditioner;

[0093] s2) Simplify the expression of building space temperature change to obtain the building space temperature change model, namely:

[0094] T in (t+1)=T out (t+1)-(T out (t+1)-T in (t))e (-Δt / RC) ,S t =0 (2)

[0095] T in (t+1)=T out (t+1)-ηPR-(T out (t+1)-ηPR-T in (t))e (-Δt / RC) ,S t =1 (3)

[0096] Where, T in (t), T out (t) represents the indoor and outdoor temperatures at time t respectively; C is the equivalent heat capacity; R is the equivalent thermal resistance; S t represents the air conditioner start / stop state variable, 1 means the air conditioner is on, 0 means the air conditioner is off; η is the air conditioner energy efficiency ratio; P is the cooling / heating power of the air conditioner; Δt is the time interval between two times; T out (t+1), T in (t+1) represents the outdoor and indoor temperatures at time t+1 respectively;

[0097] s3) Calculate the power consumption of the air conditioner during one operation cycle, that is:

[0098]

[0099] Where P S is the average power of the air conditioner in one operating cycle, P 0 is the rated power of the air conditioner, T on is the operating time of the air conditioner in the cycle, T off It is the time during the cycle when the air conditioner stops running;

[0100] s4) Calculate the energy of an air conditioner in one operating cycle, that is:

[0101] Q 输入 =η(P 0 ×T on )=Q 耗散 +Q 温升 (5)

[0102] In the formula, Q 输入 is the energy of one operation cycle of the air conditioner, Q 耗散 is the energy lost to the outside of the room in one cycle, Q 温升 is the energy lost due to temperature changes in the room, and η is the energy efficiency ratio of the air conditioner;

[0103] s5) Use the equivalent thermal parameter model to simulate the thermal dynamic process of air conditioning load, namely:

[0104]

[0105] q 1 +q 2 +q 3 +q 4 +q 5 +q 6 =0(10)

[0106] In the formula, q 6 Absorb / release heat energy for furniture in building space; q 5 The indoor heat output by the air conditioner to the outside; 4 is the heat transferred from sunlight into the house; 3 Absorbs / releases heat energy for the air in the building space; q 2 The heat transferred from the adjacent building space to the interior through the wall; 1 P is the heat transferred from the outside to the inside through the wall; 额定 is the rated power of the air conditioner; C 1 , R 1 It is the equivalent heat capacity and equivalent thermal resistance when heat is transferred from outdoor to indoor through the wall; C 2 , R 2 It is the equivalent heat capacity and equivalent thermal resistance when the heat is transferred from the adjacent building space to the indoor space through the wall; C 3 It is the equivalent heat capacity of the air in the building space when absorbing / releasing heat; T 室外 , T 室内 , T 墙 It is the temperature of outdoor, indoor and wall.

[0107] s6) Monitor the temperature of the building space for a period of time T, and use the detection data to invert the model parameters of the equivalent thermal parameter model, thereby calculating and predicting the air conditioning load curve;

[0108] The optimization goal of the air conditioning cooling load control optimization model is to minimize the number of air conditioner shutdowns while meeting the expected load reduction, that is:

[0109]

[0110] In the formula, Actual load reduction for air conditioning; represents the load reduction of the i-th air conditioner under the control mode w; s i,w Indicates that the control mode w is adopted by the i-th air conditioner; s v,5 Indicates that the i-th air conditioner adopts control mode 5; w = 1, 2, 3, 4, 5; control mode 1 is no control, control mode 2 is to increase by 1°C, control mode 3 is to increase by 2°C, control mode 4 is to increase by 3°C, and control mode 5 is to shut down the air conditioner;

[0111] The constraints of the air conditioning cooling load control optimization model are as follows:

[0112]

[0113] Where δ is the scheduling deviation requirement. is the total amount of air conditioning load that needs to be reduced, is the total amount of air conditioning load actually reduced.

[0114] Embodiment 2:

[0115] A device based on the cooling load clustering control method includes a server, a load intelligent control terminal, and a mobile control terminal;

[0116] The server is used to remotely store, view, call and process the status information of all air conditioners online;

[0117] The mobile control terminal communicates with the load intelligent control terminal to remotely control the air conditioning state;

[0118] The load intelligent control terminal is used to manage the status of multiple air conditioners in the building space;

[0119] The load intelligent control terminal includes a receiving submodule, a transmitting submodule, and a core submodule;

[0120] The receiving submodule is used to collect the air conditioner input current and voltage and transmit them to the core submodule;

[0121] The core submodule calculates the air conditioner operating power based on the air conditioner input current and voltage, and feeds back to the server to monitor the air conditioner operating status. The control signal input by the user through the human-computer interaction interface or the custom control signal obtained by the air conditioner control algorithm in the server generates an air conditioner status adjustment signal, thereby remotely controlling the air conditioner status.

[0122] The load intelligent control terminal also includes a power supply module;

[0123] The power module supplies power to the receiving submodule, the transmitting submodule and the core submodule;

[0124] The power supply module includes an isolation switch power supply and a low voltage drop linear regulator circuit;

[0125] The isolating switch power supply is used to reduce the mains voltage;

[0126] The low voltage difference linear regulator circuit is used to reduce the voltage output by the isolation switch power supply to supply the core submodule and ensure the normal operation of the core submodule.

[0127] The receiving submodule includes an optical-electrical conversion module, a signal amplification module, and a high-speed sampling module;

[0128] The high-speed sampling module monitors the air conditioner input current and voltage, and transmits them to the signal amplification module;

[0129] The signal amplification module amplifies the air conditioner input current and voltage, and transmits them to the optical-electrical conversion module;

[0130] The optical-electrical conversion module converts the amplified air-conditioner input current and voltage into optical signals and transmits them to the core submodule.

[0131] The sending submodule includes a signal sending module, a sending holding module, and an electro-optical conversion module;

[0132] The electrical-optical conversion module converts the air conditioner state adjustment signal into an optical signal and transmits it to the signal sending module;

[0133] The signal sending module sends the optical signal to the air conditioner, thereby remotely controlling the state of the air conditioner;

[0134] The sending holding module is used to ensure that the optical signal reaches the air conditioner.

[0135] The core submodule includes a CPU module and a human-computer interaction interface;

[0136] The CPU module is used to calculate the air conditioner operating power and generate an air conditioner status adjustment signal;

[0137] The human-machine interaction interface is used to display the air conditioner input current and voltage, the air conditioner state adjustment signal, and to allow the user to input a control signal.

[0138] The load intelligent control terminal also includes a communication interface;

[0139] The communication interface includes an infrared module, a Wi-Fi module, a Bluetooth module, a 4G-CAT1 module, and a serial port module, which are adapted to various communication protocols;

[0140] The sending submodule remotely controls the air-conditioning status through the communication interface.

[0141] The remotely controlled air conditioning status includes the air conditioning temperature, wind speed, and working mode.

[0142] Embodiment 3:

[0143] A cooling load clustering control method based on demand-side active response includes the following steps:

[0144] 1) Predict the air conditioning load curve based on the air conditioning operation status;

[0145] 2) Based on the air conditioning load curve, an air conditioning cooling load control optimization model is constructed;

[0146] 3) Solve the air conditioning cooling load control optimization model to realize the control of air conditioning status.

[0147] Embodiment 4:

[0148] A cooling load clustering control method based on active response on the demand side, the technical content is the same as that of Example 3, and further, the step of predicting the air conditioning load curve includes:

[0149] s1) Construct the expression of building space temperature change, namely:

[0150]

[0151] Where, T in (t), T out (t) represents the indoor and outdoor temperatures at time t respectively; C is the equivalent heat capacity; R is the equivalent thermal resistance; η is the air conditioning energy efficiency ratio; P is the cooling / heating power of the air conditioner;

[0152] s2) Simplify the expression of building space temperature change to obtain the building space temperature change model, namely:

[0153] T in (t+1)=T out (t+1)-(T out (t+1)-T in (t))e (-Δt / RC) ,S t =0 (2)

[0154] T in (t+1)=T out (t+1)-ηPR-(T out (t+1)-ηPR-Tin (t))e (-Δt / RC) ,S t =1 (3)

[0155] Where, T in (t), T out (t) represents the indoor and outdoor temperatures at time t respectively; C is the equivalent heat capacity; R is the equivalent thermal resistance; S t represents the air conditioner start / stop state variable, 1 means the air conditioner is on, 0 means the air conditioner is off; η is the air conditioner energy efficiency ratio; P is the cooling / heating power of the air conditioner; Δt is the time interval between two times; T out (t+1), T in (t+1) represents the outdoor and indoor temperatures at time t+1 respectively;

[0156] s3) Calculate the power consumption of the air conditioner during one operation cycle, that is:

[0157]

[0158] Where P S is the average power of the air conditioner in one operating cycle, P 0 is the rated power of the air conditioner, T on is the operating time of the air conditioner in the cycle, T off It is the time during the cycle when the air conditioner stops running;

[0159] s4) Calculate the energy of an air conditioner in one operating cycle, that is:

[0160] Q 输入 =η(P 0 ×T on )=Q 耗散 +Q 温升 (5)

[0161] In the formula, Q 输入 is the energy of one operation cycle of the air conditioner, Q 耗散 is the energy lost to the outside of the room in one cycle, Q 温升 is the energy lost due to temperature changes in the room, and η is the energy efficiency ratio of the air conditioner;

[0162] s5) Use the equivalent thermal parameter model to simulate the thermal dynamic process of air conditioning load, namely:

[0163]

[0164] q 1 +q 2 +q 3 +q 4 +q 5 +q 6 =0(10)

[0165] In the formula, q 6 Absorb / release heat energy for furniture in building space; q 5 The indoor heat output by the air conditioner to the outside; 4 is the heat transferred from sunlight into the house; 3 Absorbs / releases heat energy for the air in the building space; q 2 The heat transferred from the adjacent building space to the interior through the wall; 1 It is the heat transferred from outdoor to indoor through the wall;

[0166] s6) Monitor the temperature of the building space for a period of time T, and use the detection data to invert the model parameters of the equivalent thermal parameter model, thereby calculating and predicting the air conditioning load curve;

[0167] Embodiment 5:

[0168] A cooling load clustering control method based on active response on the demand side, the technical content is the same as any one of embodiments 3-4, further, the optimization goal of the air conditioning cooling load control optimization model is to minimize the number of air conditioner shutdowns while meeting the expected load reduction, that is:

[0169]

[0170] In the formula, Actual load reduction for air conditioning; represents the load reduction of the i-th air conditioner under the control mode w;

[0171] The constraints of the air conditioning cooling load control optimization model are as follows:

[0172]

[0173] Where δ is the scheduling deviation requirement. is the total amount of air conditioning load that needs to be reduced, is the total amount of air conditioning load actually reduced.

[0174] Embodiment 6:

[0175] A device based on the cooling load clustering control method described in any one of embodiments 1-5, comprising a server, a load intelligent control terminal, and a mobile control terminal;

[0176] The server is used to remotely store, view, call and process the status information of all air conditioners online;

[0177] The mobile control terminal communicates with the load intelligent control terminal to remotely control the air conditioning state;

[0178] The load intelligent control terminal is used to manage the status of multiple air conditioners in the building space;

[0179] The load intelligent control terminal includes a receiving submodule, a transmitting submodule, and a core submodule;

[0180] The receiving submodule is used to collect the air conditioner input current and voltage and transmit them to the core submodule;

[0181] The core submodule calculates the air conditioner operating power based on the air conditioner input current and voltage, and feeds back to the server to monitor the air conditioner operating status. The control signal input by the user through the human-computer interaction interface or the custom control signal obtained by the air conditioner control algorithm in the server generates an air conditioner status adjustment signal, thereby remotely controlling the air conditioner status.

[0182] Embodiment 7:

[0183] The device of the cooling load clustering control method according to any one of embodiments 1 to 5 has the same technical content as embodiment 6, and further, the load intelligent control terminal also includes a power module;

[0184] The power module supplies power to the receiving submodule, the transmitting submodule and the core submodule;

[0185] The power supply module includes an isolation switch power supply and a low voltage drop linear regulator circuit;

[0186] The isolating switch power supply is used to reduce the mains voltage;

[0187] The low voltage difference linear regulator circuit is used to reduce the voltage output by the isolation switch power supply to supply the core submodule and ensure the normal operation of the core submodule.

[0188] Embodiment 8:

[0189] The device of the cooling load clustering control method based on any one of embodiments 1-5 has the same technical content as any one of embodiments 6-7, and further, the receiving submodule includes an optical-electrical conversion module, a signal amplification module, and a high-speed sampling module;

[0190] The high-speed sampling module monitors the air conditioner input current and voltage, and transmits them to the signal amplification module;

[0191] The signal amplification module amplifies the air conditioner input current and voltage, and transmits them to the optical-electrical conversion module;

[0192] The optical-electrical conversion module converts the amplified air-conditioner input current and voltage into optical signals and transmits them to the core submodule.

[0193] Embodiment 9:

[0194] The device of the cooling load clustering control method based on any one of embodiments 1-5 has the same technical content as any one of embodiments 6-8, and further, the sending submodule includes a signal sending module, a sending holding module, and an electro-optical conversion module;

[0195] The electrical-optical conversion module converts the air conditioner state adjustment signal into an optical signal and transmits it to the signal sending module;

[0196] The signal sending module sends the optical signal to the air conditioner, thereby remotely controlling the state of the air conditioner;

[0197] The sending holding module is used to ensure that the optical signal reaches the air conditioner.

[0198] Embodiment 10:

[0199] The device of the cooling load clustering control method according to any one of embodiments 1-5 has the same technical content as any one of embodiments 6-9, and further, the core submodule includes a CPU module and a human-computer interaction interface;

[0200] The CPU module is used to calculate the air conditioner operating power and generate an air conditioner status adjustment signal;

[0201] The human-machine interaction interface is used to display the air conditioner input current and voltage, the air conditioner state adjustment signal, and to allow the user to input a control signal.

[0202] Embodiment 11:

[0203] The device of the cooling load clustering control method according to any one of embodiments 1-5 has the same technical content as any one of embodiments 6-10, and further, the load intelligent control terminal also includes a communication interface;

[0204] The communication interface includes an infrared module, a Wi-Fi module, a Bluetooth module, a 4G-CAT1 module, and a serial port module, which are adapted to various communication protocols;

[0205] The sending submodule remotely controls the air-conditioning status through the communication interface.

[0206] Embodiment 12:

[0207] The device of the cooling load clustering control method based on any one of Examples 1-5 has the same technical content as any one of Examples 6-11. Furthermore, the remotely controlled air-conditioning state includes the temperature, wind speed, and working mode of the air-conditioning.

[0208] Embodiment 13:

[0209] The cooling load clustering control method is as follows:

[0210] 1 Theoretical model of temperature and load relationship

[0211] 1.1 Cyclic operation mode of air conditioner

[0212] The change of indoor temperature of a building depends on factors such as indoor and outdoor cold and heat sources, room wall parameters, etc. It can be represented by a thermal parameter equivalent model, and its first-order differential equation can be expressed as:

[0213]

[0214] After simplification, the recursive calculation formula for indoor temperature can be obtained:

[0215] T in (t+1)=T out (t+1)-(T out (t+1)-T in (t))e (-Δt / RC) ,S t =0 (2)

[0216] T in (t+1)=T out (t+1)-ηPR-(T out (t+1)-ηPR-T in (t))e (-Δt / RC) ,S t =0 (3)

[0217] In formulas (1)-(3), T in (t), T out (t) represents the indoor and outdoor temperatures at time t respectively; C is the equivalent heat capacity; R is the equivalent thermal resistance; S t Represents the air conditioner start / stop state variable, 1 indicates that the air conditioner is started, and 0 indicates that the air conditioner is stopped; η is the air conditioner energy efficiency ratio; P is the cooling / heating power of the air conditioner; Δt is the time interval between two times.

[0218] Taking summer air conditioning as an example, the time-varying situation of the air conditioning working state and indoor temperature under normal operation can be obtained as follows: Figure 1 As shown in the figure, T max and T min are the air conditioner start and stop temperatures set by the air conditioner user. max When the temperature is lower than T min The air conditioner stops when

[0219] As can be seen from the figure, the air conditioner has a periodic characteristic when running, and the indoor temperature fluctuates around a certain temperature setting value. When the air conditioner in the cooling state is turned on, the temperature in the room continues to drop. When the temperature change reaches the lower limit of the boundary temperature, the air conditioner is turned off; when the air conditioner is in the off state, the temperature in the room continues to rise until it reaches the upper limit of the boundary temperature, and then the air conditioner is turned on again.

[0220] In this operating state, the air conditioner presents a periodic pattern, and one cycle is: from "entering standby" to "starting cooling" to "ending cooling". In one cooling cycle, the air conditioner power consumption satisfies formula 4:

[0221]

[0222] Where P S is the average power of the air conditioner in one cooling cycle, P 0 is the rated power of the air conditioner, T on is the cooling time of the air conditioner in the cycle, T off is the time when the air conditioner stops cooling in the cycle. At the same time, according to the law of conservation of energy, in one cycle, there is formula 5:

[0223] Q 输入 =η(P 0 ×T on )=Q 耗散 +Q 温升 (5)

[0224] In the formula, Q 输入 Q is the cooling capacity of the air conditioner in one cooling cycle, 耗散 Q is the cooling capacity lost to the outside of the room in one cycle. 温升 is the cooling capacity lost due to temperature changes in the room, and η is the energy efficiency ratio of the air conditioner.

[0225] According to the cooling law of air conditioning cycle, the indoor temperature does not change immediately after the air conditioner is shut down, but instead shows a slow exponential upward trend. As long as the temperature is still in the range that the human body feels comfortable, the user is not sensitive to the start and stop of the air conditioner. This provides us with a theoretical basis for the seamless adjustment of air conditioning.

[0226] Therefore, the air conditioner set temperature can be adjusted appropriately according to the indoor temperature to achieve the purpose of controlling the start and stop of the air conditioner. By reasonably setting the temperature of each air conditioner, the air conditioner running time can be shortened. At the same time, the air conditioner can also be controlled to start and stop at different peaks to reduce the peak cooling load.

[0227] 1.2 Temperature-cooling power theoretical calculation model

[0228] Because the cooling in the room satisfies the first law of thermodynamics, that is, the law of conservation of energy. At the same time, whether heat is transferred through the wall or through the window, the heat exchange satisfies Fourier's law of heat conduction. At the same time, the room will also receive sunlight radiation, which satisfies the characteristics of thermal radiation, such as Figure 2 As shown:

[0229] The equivalent thermal parameter model can be used to simulate the thermal dynamic process of air conditioning load. The model consists of Figure 3 As shown:

[0230] There are 6 branches from left to right, with heat toward the room (upward) as the reference direction.

[0231] The first branch represents: the process of heat transfer from outdoor to indoor through the wall q 1 .

[0232]

[0233] The second branch represents: the process of heat transfer from the neighboring room to the interior through the wall. 2 .

[0234]

[0235] The third branch represents: the process of indoor air absorbing and releasing heat q 3 .

[0236]

[0237] The fourth branch represents: the process of light transferring heat into the house 4 .

[0238] The fifth branch represents: the process of air conditioning outputting indoor heat to the outside 5 .

[0239]

[0240] The sixth branch represents: the process of heat absorption and heat release of furniture in the house 6 .

[0241] q 1 +q 2 +q 3 +q 4 +q 5 +q 6 =0(10)

[0242] In this model, the wall thermal resistance, door and window thermal resistance, light intensity at different times, indoor air heat capacity, indoor furniture heat capacity and thermal resistance of each room are all different. For these variable values, the best way is to monitor the temperature of the room for several days and use the test data to invert the model parameters. Based on the model parameters, the load curve of the air conditioner after the temperature rises can be predicted.

[0243] 1.3 Air conditioning cooling load control optimization model

[0244] When performing air conditioning cooling load control, there are three control modes: no control, temperature adjustment, and shutdown. Among them, the common user response temperature adjustment range of air conditioning temperature control is 1℃, 2℃, and 3℃. The different control modes are numbered as follows: no control is 1, increase 1℃ is 2, increase 2℃ is 3, increase 3℃ is 4, and shut down the air conditioner is 5. It represents the load reduction of the air conditioner under the control mode w when the temperature of the i-th air conditioner is controlled. Suppose there are N air conditioners in a certain aggregation node. The total amount of air conditioners that need to be reduced at this aggregation air conditioner node is s i,w Indicates that the i-th air conditioner adopts the w control method, which is 1 if adopted and 0 if not. v,2 =1 means that the air conditioner is controlled by raising the set temperature by 1°C. Then the actual load reduction of the aggregation node is:

[0245]

[0246] Taking into account the comfort level of users using air conditioners, the scheduling goal is to minimize the number of air conditioner shutdowns, which can be expressed as:

[0247]

[0248] When scheduling air conditioning, the following constraints need to be met:

[0249] (1) Each air conditioner has only one control mode:

[0250]

[0251] (2) Air conditioning control needs to meet the scheduling deviation requirement δ

[0252]

[0253] 2. Demand-side load intelligent control system

[0254] 2.1 Cooling load control system architecture

[0255] Design load intelligent control devices for demand-side electrical equipment, and develop load intelligent interactive control systems for air-conditioning equipment that does not have intelligence, which consists of servers, load intelligent control terminals and APPs, such as Figure 4 As shown, load monitoring and collective control of air-conditioning machines (including central air-conditioning) inside buildings (shopping malls, public buildings, residential houses, etc.) are realized, wherein the server is used to remotely store, view, call, and process the status information of all air-conditioning machines online; the load intelligent control terminal is similar to the air-conditioning analog remote control, which is used to manage the status of multiple air-conditioning machines in the room (or building) and perform intelligent control; users can remotely control the air-conditioning status through the mobile phone APP, realizing the intelligent transformation of traditional air-conditioning.

[0256] The load intelligent control terminal is installed on the user side, as shown in the figure. The power socket is directly connected to the air conditioner in a "series" manner. It has the function of real-time collection of air conditioner input current and perception of air conditioner load status. At the same time, the terminal is interconnected through a 4G or WIFI module to realize the transmission and inheritance of each air conditioner information by the terminal. For example, when the control terminal in a certain area is lost or damaged, the air conditioner information in the area can be inherited to a new remote control terminal through the cloud data stored in the server, so as to make up for the defects or losses caused by this in time.

[0257] 2.2 Control terminal hardware design

[0258] (1) Main control board and device functions

[0259] The control terminal adopts modular design, including receiving submodule, transmitting submodule, core submodule, expandable communication interface, and integrates a large number of infrared code libraries. The receiving submodule includes modules such as optical-electrical conversion, signal amplification, and high-speed sampling; the transmitting submodule includes signal generation, transmission holding, and electro-optical conversion modules; the core motherboard includes CPU, LCD display, and human-computer interaction interface; the communication interface includes infrared module, Wi-Fi module, Bluetooth module, 4G-CAT1 module, and serial port module, which are adapted to various communication protocols and support remote control setting and management of the temperature, wind speed, and working mode of traditional air conditioners such as wall-mounted and vertical air conditioners and central air conditioners through infrared, Wi-Fi, 4G, etc. The air conditioner power control, temperature control, wind speed control and other functions are realized through the user APP to meet the diverse needs of customers. The data interface is reserved, and various large databases can be connected in the later stage according to actual needs. The hardware structure is shown in the figure below:

[0260] Power Module

[0261] The power module of the air conditioning load controller includes an isolated switching power supply and a low-dropout linear regulator (LDO) circuit. The isolated switching power supply is an AC-DC step-down module that converts 220V to 5V. It has temperature protection, overcurrent protection, and short circuit protection functions, and realizes high and low voltage isolation. The low-dropout linear regulator (LDO) circuit model RT9193 is selected to convert the 5V voltage output by the isolated switching power supply to 3.3V to supply the microcontroller and ensure the normal operation of the STM32 main control chip. The LDO model is , which can stably output 5V voltage, with a maximum output current of 300mA and a power supply ripple suppression ratio of 70dB@(1kHz).

[0262] Energy metering module

[0263] The electric energy metering module is the core component of the load control terminal, which is mainly responsible for the measurement of current and voltage and the calculation of power. The relevant circuit is shown in the figure. The calibration-free high-precision metering chip HLW8032 is selected in the electric energy metering module to improve the accuracy and reliability of the measurement.

[0264] When measuring current, a constantan resistor with a resistance of 0.002Ω is used as the sampling resistor R 3 When the load current flows through R 3 When the capacitor C 1 , C 2 It is used to smooth the voltage after resistor division, eliminate high-frequency noise and spikes, and improve the stability and accuracy of voltage measurement; to protect other components of the circuit from damage, resistor R 7 =1kΩ and R 7 =1kΩ limits the path current. And the effective voltage V can be calculated eff , effective current I eff And active power P eff .

[0265] Infrared control module

[0266] The infrared control circuit is used to realize the load control function of the load control terminal. The infrared control circuit is used to adjust the temperature, wind speed, working mode and other parameters of the air conditioner. The infrared remote control circuit mainly involves two parts: infrared sending and receiving. The infrared control module is shown in the figure, where diodes D1-D8 are infrared transmitters and resistors R 1 =R 2 =R 3 =R 4 =47Ω is used to limit the current flowing through the infrared emitting diode to protect the diode from being damaged by overcurrent. D9 is the infrared receiving diode, and STC8G1K08-38I-SOP16 is used as the main control of the infrared module.

[0267] Communication Module

[0268] The Wi-Fi communication module used in the load controller is shown in the figure. Its model is ESP8266. This module has low power consumption and high data transmission efficiency. It is based on the 802.11b / g / n protocol, the operating frequency band is 2.4GHz, and the design takes energy efficiency into consideration, with a peak current of only 80mA. ESP8266 supports STA, AP and STA+AP modes, can adapt to different network environments and requirements, and provides a variety of security encryption methods to ensure the security of data transmission.

[0269] Load controller hardware

[0270] This section designs the load controller, including the energy metering module, infrared control module, Wi-Fi communication module, STM32 master control module and OLED display module.

[0271] (2) Appearance and leakage protection

[0272] The designed load controller includes power metering module, infrared control module, Wi-Fi communication module, STM32 main control module and OLED display module. The overall hardware structure is as follows: Fig.12 shown.

[0273] The appearance of the remote control terminal is similar to that of an ordinary socket, consisting of a host, a socket and a plug. The plug can be inserted into a 10A / 16A three-hole socket. The host is wrapped in an insulating shell to prevent the risk of leakage. When the device is inserted into the socket, it connects to the Wi-Fi signal, and the signal light turns on to indicate that the device has been connected to the network. The socket hole of the device is a 16A plug. Plug the air conditioner to be controlled into the socket hole to complete the installation process, as shown in the figure:

[0274] 2.3 Working principle and technical implementation

[0275] The remote control terminal uses infrared communication to control the air conditioner. This chapter first describes the remote control methods of the air conditioner using infrared, Wi-Fi, Bluetooth, and 4G communication modules; then explains the infrared and Wi-Fi control signals, and the specific program flow chart during remote control; through WIFI, Bluetooth modules and other expandable communication interfaces, the terminal and mobile devices are connected; finally, the design of the system cloud platform is introduced to realize the user's control over the system administrator level.

[0276] 2.3.1 Infrared control

[0277] Infrared temperature adjustment of air conditioner is realized by pressing different buttons. It is mainly divided into the following steps:

[0278] ① Turn on the power: Before use, press the "On / Off" button on the remote control terminal and wait for the remote control to turn on;

[0279] ②Model selection: After turning on the remote control, click "Add remote control", enter infrared mode, select model matching, wait for automatic matching, or manually enter the air conditioner brand or model;

[0280] ③Temperature adjustment: After matching is completed, the terminal screen shows that it has been connected and displays the control interface.

[0281] The system infrared control flow chart is shown below:

[0282] 2.3.2Wi-Fi Control

[0283] Since some air conditioners on the market are controlled by Wi-Fi, in addition to infrared, the remote control terminal also integrates a Wi-Fi module. The specific operation of using the remote control terminal to control the air conditioner via Wi-Fi is: the user uses the remote control terminal to log in to the APP interface, the terminal screen will switch to the user login APP interface, the screen will switch to the remote control mode, the remote control command will be uploaded to the cloud platform and transmitted to the wireless router; at the same time, the Wi-Fi module will record the remote control terminal command to achieve remote control. The specific operation steps of WIFI control of air conditioner are shown in the figure below:

[0284] 2.4 Cloud Platform Server Design

[0285] In order to facilitate the monitoring and management of each remote control terminal, a load control cloud platform is developed based on the C# architecture to monitor the operation of each terminal in real time. It is small and concise. The terminal transmits the working status of the air conditioner in the relevant area, the temperature and humidity changes, and various information of the remote control terminal, including location, power, communication status, etc., which are uniformly displayed on the cloud interface to realize load data interaction. In addition, users or administrators can also send instructions to the terminal through the cloud platform host computer to control the relevant operations of the next-level terminal and deal with emergencies such as air conditioner damage and control terminal failure in a timely manner. The system cloud platform software is as follows Fig.16 shown.

[0286] 2.5 Analysis of device advantages

[0287] There are many manufacturers on the market that have also launched related control devices such as air conditioner companions. Compared with them, this cooling load control device has the following advantages. As listed in Table 1:

[0288] Table 1 Comparative analysis of load control terminal and air conditioning companion

[0289]

[0290] 2.6 Cloud Platform Control Solution

[0291] After setting the platform scheduling target, the air conditioning load control model is used to obtain the gap between the current air conditioning aggregate load and the control target, and the air conditioning control strategy is further formulated, and instructions are issued to each air conditioning load controller to adjust the air conditioning set temperature to achieve the control target. At the same time, the air conditioning load controller is also responsible for collecting the real-time operating status and power information of the air conditioner. These data will be continuously fed back to the platform's control model to verify whether the overall aggregate power of the air conditioner has reached the scheduling target at this time, and further update the control instructions to adjust the aggregate power until the load reduction target is achieved.

[0292] 3 Temperature and load control test

[0293] 3.1 Air conditioning load controller test

[0294] When conducting the air conditioning power collection test, the doors and windows of the test room need to be kept closed. At this time, the outdoor temperature is 35°C. The air conditioning temperature is set to 24°C. After the air conditioning runs stably, the air conditioning operating power curve shown in the figure can be obtained.

[0295] At the same time, the temperature adjustment function of the air conditioning load controller was tested in the same environment. First, the initial set temperature of the air conditioner was set to 23°C. After the indoor temperature stabilized, the set temperature of the air conditioner was increased by 1°C and left to stand for 30 minutes after adjustment. Then the working status of the air conditioner was recorded for the next hour. This process was repeated until the set temperature reached 27°C, and the air conditioning change data shown in Table 2 was obtained.

[0296] Table 2 Air conditioning set temperature change data

[0297]

[0298] It can be seen that during the cooling process, the overall power of the air conditioner changes with the set temperature. Specifically, although the single downtime of the air conditioner remains unchanged, its single cooling time is shortened accordingly as the set temperature increases. In the test, when the set temperature is 23°C, the duty cycle of the air conditioner reaches 100%, that is, the air conditioner 1 continues to run at this temperature without stopping. After testing air conditioners of different brands and different powers, it was found that when the set temperature is increased from 23°C, the power consumption of the air conditioner is reduced by about 17.6-21.7% for every 1°C increase in the set temperature.

[0299] 3.2 Air conditioning control test

[0300] (1) Test method

[0301] The experiment selected four rooms with the same structure and air-conditioning model for simultaneous testing; the four air conditioners were turned on at 8 o'clock every day, and the temperature of room No. 1 was set at 20℃, room No. 2 was set at 26℃, room No. 3 was set at 23℃, and room No. 4 was set at 25℃; the average power and electricity consumption of the four air conditioners were recorded during the period of 10:00-15:00.

[0302] The air conditioning load controller designed in this section is installed on the air conditioners in the five rooms in the test building, and the parameters of the five air conditioners in the test building and the adjustable temperatures when participating in the response are set as shown in Table 3.

[0303] Table 3 Test air conditioning parameters

[0304]

[0305] When conducting the platform air conditioning scheduling test, the doors and windows of the test room in the laboratory building must be kept closed. The five air conditioners tested are set to the starting set temperature. After the air conditioning power and the indoor temperature change frequency are stable, the air conditioning aggregate power is collected by the air conditioning load controller; the air conditioning aggregate load reduction control target is issued through the energy management platform; after the control target is issued, the load controller performs air conditioning temperature control and feedbacks the air conditioning aggregate operating power in the next hour; 4 reduction target tests are conducted respectively: 10%, 20%, 30%, and 40%. The set temperature changes of the five air conditioners under different reduction targets when the platform is uniformly regulated are shown in the table.

[0306] Table 4 Air conditioning aggregation regulation

[0307]

[0308] The cooling load control system and device described in the present invention have the following advantages:

[0309] (1) This patent derives the temperature-cooling power consumption theoretical calculation model through the analysis of the air-conditioning cycle operation mode, builds the cooling load control system architecture, and designs the control terminal hardware device to realize the full-link communication and control of the cooling load from air-conditioning-terminal-cloud.

[0310] (2) Compared with other air-conditioning control devices, the load control terminal proposed in this patent can control multiple different types of air-conditioning loads at the same time and has a lower production cost. This is very useful for the centralized control of cooling loads. Because there are a large number of brands and control methods of air-conditioning on the market, air-conditioning of different brands can be controlled at one time, which improves the comprehensiveness and efficiency of load regulation.

[0311] (3) The control terminal designed by this patent can save energy for air conditioning. Relevant research shows that if the temperature setting of the air conditioner is increased by 1°C when cooling and decreased by 1°C when heating, the energy consumption can be reduced by 10%. Assuming that the fixed-speed air conditioner is 1 horsepower (about 800 watts), its power consumption is 0.8 degrees per hour. If it runs for 100 days in summer and 50 days in winter, and the outdoor unit works for 5 hours every day without stopping, the annual electricity consumption is about 600 degrees. Through real-time temperature control, about 60 degrees of electricity can be saved. If an office building is cooled and heated by a 100-horsepower air conditioner, it can save about 6,000 degrees of electricity, with significant energy-saving effects.

[0312] (4) The load control device designed by this patent can promote the intelligent upgrade of users' electricity consumption. Users can get rid of the constraints of traditional remote controls and view the real-time power and electricity consumption of the air conditioner through a mobile phone APP. At the same time, they can realize remote timing switch and temperature control, and experience the convenience of smart appliances in a simple way. Residents' household appliances can interact with the load clustering smart interactive cloud platform through smart control terminals to create a smart energy ecosystem.

Claims

1. A cooling load clustering control method based on active response on the demand side, characterized in that: The following steps are involved: 1) Predict the air conditioning load curve based on the air conditioning operation status; 2) Based on the air conditioning load curve, an air conditioning cooling load control optimization model is constructed; 3) Solve the air conditioning cooling load control optimization model to realize the control of air conditioning status.

2. A cooling load clustering control method based on demand-side active response according to claim 1, characterized in that: The steps to predict the air conditioning load curve include: 1) Construct the expression of building space temperature change, namely: Where, T in (t), T out (t) represents the indoor and outdoor temperatures at time t respectively; C is the equivalent heat capacity; R is the equivalent thermal resistance; η is the air conditioning energy efficiency ratio; P is the cooling / heating power of the air conditioner; 2) Simplify the expression of building space temperature change to obtain the building space temperature change model, namely: T in (t+1)=T out (t+1)-(T out (t+1)-T in (t))e (-Δt / RC) ,S t =0 (2) T in (t+1)=T out (t+1)-ηPR-(T out (t+1)-ηPR-T in (t))e (-Δt / RC) ,S t =1 (3) Where, T in (t), T out (t) represents the indoor and outdoor temperatures at time t respectively; C is the equivalent heat capacity; R is the equivalent thermal resistance; S t represents the air conditioner start / stop state variable, 1 means the air conditioner is on, 0 means the air conditioner is off; η is the air conditioner energy efficiency ratio; P is the cooling / heating power of the air conditioner; Δt is the time interval between two times; T out (t+1), T in (t+1) represents the outdoor and indoor temperatures at time t+1 respectively. 3) Calculate the power consumption of the air conditioner during one operating cycle, that is: Where P S is the average power of the air conditioner in one operating cycle, P0 is the rated power of the air conditioner, T on is the operating time of the air conditioner in the cycle, T off It is the time during the cycle when the air conditioner stops running; 4) Calculate the energy of an air conditioner during one operating cycle, that is: Q 输入 =η(P0×T on )=Q 耗散 +Q 温升 (5) In the formula, Q 输入 is the energy of one operation cycle of the air conditioner, Q 耗散 is the energy lost to the outside of the room in one cycle, Q 温升 is the energy lost due to temperature changes in the room, and η is the energy efficiency ratio of the air conditioner; 5) Use the equivalent thermal parameter model to simulate the thermal dynamic process of air conditioning load, namely: q1+q2+q3+q4+q5+q6=0 (10) In the formula, q6 is the heat absorption / release energy of furniture in the building space; q5 is the indoor heat output from the air conditioner to the outside; q4 is the heat transferred from the light to the house; q3 is the heat absorption / release energy of the air in the building space; q2 is the heat transferred from the adjacent building space to the indoor through the wall; q1 is the heat transferred from the outdoor to the indoor through the wall; P 额定 is the rated power of the air conditioner; C1 and R1 are the equivalent heat capacity and equivalent thermal resistance when heat is transferred from the outdoor to the indoor through the wall; C2 and R2 are the equivalent heat capacity and equivalent thermal resistance when heat is transferred from the adjacent building space to the indoor through the wall; C3 is the equivalent heat capacity when the air in the building space absorbs / releases heat; T 室外 , T 室内 , T 墙 It is the temperature of outdoor, indoor and wall. 6) Monitor the temperature of the building space for a period of time T, and use the detection data to invert the model parameters of the equivalent thermal parameter model to predict the air conditioning load curve.

3. The cooling load clustering control method based on demand-side active response according to claim 1 is characterized in that: The optimization goal of the air conditioning cooling load control optimization model is to minimize the number of air conditioner shutdowns while meeting the expected load reduction, that is: In the formula, Actual load reduction for air conditioning; represents the load reduction of the i-th air conditioner under the control mode w; s i,w Indicates that the control mode w is adopted by the i-th air conditioner; s v,5 Indicates that the i-th air conditioner adopts control mode 5; w = 1, 2, 3, 4, 5; control mode 1 is no control, control mode 2 is to increase by 1°C, control mode 3 is to increase by 2°C, control mode 4 is to increase by 3°C, and control mode 5 is to shut down the air conditioner; The constraints of the air conditioning cooling load control optimization model are as follows: In the formula, δ is the scheduling deviation requirement; is the total amount of air conditioning load that needs to be reduced, is the total amount of air conditioning load actually reduced.

4. A device based on the cooling load clustering control method according to any one of claims 1 to 3, characterized in that: Including server, load intelligent control terminal, and mobile control terminal; The server is used to remotely store, view, call and process the status information of all air conditioners online; The mobile control terminal communicates with the load intelligent control terminal to remotely control the air conditioning state; The load intelligent control terminal is used to manage the status of multiple air conditioners in the building space; The load intelligent control terminal includes a receiving submodule, a transmitting submodule, and a core submodule; The receiving submodule is used to collect the air conditioner input current and voltage and transmit them to the core submodule; The core submodule calculates the air conditioner operating power based on the air conditioner input current and voltage, and feeds back to the server to monitor the air conditioner operating status. The control signal input by the user through the human-computer interaction interface or the custom control signal obtained by the air conditioner control algorithm in the server generates an air conditioner status adjustment signal, thereby remotely controlling the air conditioner status.

5. The device according to claim 1, characterized in that The load intelligent control terminal also includes a power module; The power module supplies power to the receiving submodule, the transmitting submodule and the core submodule; The power supply module includes an isolation switch power supply and a low voltage drop linear regulator circuit; The isolating switch power supply is used to reduce the mains voltage; The low voltage difference linear regulator circuit is used to reduce the voltage output by the isolation switch power supply to supply the core submodule and ensure the normal operation of the core submodule.

6. The device according to claim 1, characterized in that The receiving submodule includes an optical-electrical conversion module, a signal amplification module, and a high-speed sampling module; The high-speed sampling module monitors the air conditioner input current and voltage, and transmits them to the signal amplification module; The signal amplification module amplifies the air conditioner input current and voltage, and transmits them to the optical-electrical conversion module; The optical-electrical conversion module converts the amplified air-conditioner input current and voltage into optical signals and transmits them to the core submodule.

7. The device according to claim 1, characterized in that The sending submodule includes a signal sending module, a sending holding module, and an electro-optical conversion module; The electrical-optical conversion module converts the air conditioner state adjustment signal into an optical signal and transmits it to the signal sending module; The signal sending module sends the optical signal to the air conditioner, thereby remotely controlling the state of the air conditioner; The sending holding module is used to ensure that the optical signal reaches the air conditioner.

8. The device according to claim 1, characterized in that The core submodule includes a CPU module and a human-computer interaction interface; The CPU module is used to calculate the air conditioner operating power and generate an air conditioner status adjustment signal; The human-machine interaction interface is used to display the air conditioner input current and voltage, the air conditioner state adjustment signal, and to allow the user to input a control signal.

9. The device according to claim 1, characterized in that The load intelligent control terminal also includes a communication interface; The communication interface includes an infrared module, a Wi-Fi module, a Bluetooth module, a 4G-CAT1 module, and a serial port module, which are adapted to various communication protocols; The sending submodule remotely controls the air-conditioning status through the communication interface.

10. The device according to claim 1, characterized in that The remotely controlled air conditioning status includes the air conditioning temperature, wind speed, and working mode.

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