Method for constructing air-conditioning load aggregation power model, power dispatching method and device

Abstract

The present application provides a method and device for constructing an air-conditioning load aggregated power model and a power scheduling method. By introducing an air-conditioning load aggregated power drop process model that describes the change in the output power of the air conditioner when the preset temperature of the air conditioner changes, and adding the change in the output power of the air conditioner when the preset temperature of the air conditioner changes to the calculation of the air-conditioning load aggregated power, an air-conditioning load aggregated power model is established. Since the change in the output power of the air conditioner when the preset temperature of the air conditioner changes is considered, the accuracy of the air-conditioning load power calculation is improved, and the situation of instantaneous overload of the power system load power caused by inaccurate load power calculation is reduced. At the same time, in the power scheduling method, the demand curve is used as the connection interface between the air-conditioning load and the outside, which can better protect the data privacy of users and improve the security of control.

Description

Technical Field

[0001] The present application relates to the technical field of power system load modeling, and particularly to a method and device for constructing an aggregated power model of air-conditioning loads and a power scheduling method. Background Art

[0002] With the large-scale access of renewable energy and the increasing peak load value in urban centers year by year, the demand for system balancing resources has surged. Thermostatic loads are characterized by easy control and large schedulable potential. A large number of thermostatic loads can be aggregated by a load aggregator to participate in the regulation and operation of the main grid. Among them, air-conditioning loads account for the highest proportion and have great potential in peak shaving and valley filling, maintaining the stability of the power system, providing auxiliary services, etc. With the increase in their proportion in the power grid, the demand for air-conditioning load models has gradually increased. Enabling air-conditioning loads to participate in peak shaving services on a large scale is an effective means to reduce the power grid load during peak power consumption periods.

[0003] In the prior art, the power information of individual thermostatic devices is usually collected, and the upper and lower boundaries of the load power aggregated by multiple thermostatic devices are calculated from the individual power information. However, the prior art does not consider the fluctuation of the output power when the preset temperature of the air conditioner changes, so the calculation of the air-conditioning load power is inaccurate, and the situation of instantaneous power overload is likely to occur, resulting in potential safety hazards. Summary of the Invention

[0004] Based on this, the present application provides a method and device for constructing an aggregated power model of air-conditioning loads and a power scheduling method, aiming to improve the accuracy of air-conditioning load power calculation.

[0005] In a first aspect, an embodiment of the present application provides a method for constructing an aggregated power model of air-conditioning loads, the method comprising:

[0006] Establishing an air-conditioning load aggregated power drop process model according to the change of the air-conditioning output power over time when the preset temperature value of the air conditioner changes;

[0007] Establishing an air-conditioning load aggregated power model for calculating the air-conditioning load aggregated power according to the air-conditioning load aggregated power drop process model.

[0008] Optionally, establishing an air-conditioning load aggregated power model for calculating the air-conditioning load aggregated power according to the air-conditioning load aggregated power drop process model includes:

[0009] Obtaining the output power of a single air conditioner by using an equivalent thermal parameter model;

[0010] Establishing an air-conditioning load aggregated power model for calculating the air-conditioning load aggregated power according to the change of the air-conditioning output power over time in the air-conditioning load aggregated power drop process model and combining the output power of the single air conditioner.

[0011] In a second aspect, an embodiment of the present application provides a power scheduling method, the method comprising:

[0012] Controlling the output power of the air conditioner by using a hybrid system model;

[0013] Converting the output power of the air conditioner into the power information required by the virtual peaking unit, where the virtual peaking unit includes at least one air conditioner;

[0014] Establishing a coordinated control model for power scheduling according to the power information required by the virtual peaking unit;

[0015] Establishing an optimal scheduling problem according to the power information required by the virtual peaking unit, where the optimal scheduling problem is a problem of solving the power demand of the virtual peaking unit through power scheduling;

[0016] Solving the optimal scheduling problem by using the air-conditioning load aggregation power model to obtain the target peaking power, where the air-conditioning load aggregation power model is constructed by using the method described in any item of the first aspect;

[0017] According to the target peaking power, obtaining a power scheduling scheme by using the coordinated control model, where the power scheduling scheme meets the power demand of the virtual peaking unit through power scheduling.

[0018] Optionally, controlling the output power of the air conditioner by using a hybrid system model includes:

[0019] Generating a change process of the output power of the air conditioner by using the equivalent thermal parameter model and the physical process power model in the hybrid system model;

[0020] Establishing a control method for generating the output power of the air conditioner by using the demand curve model and the air-conditioning load local control model in the hybrid system model;

[0021] Controlling the output power of the air conditioner by using the semi-Markov model in the hybrid system model in combination with the change process of the output power of the air conditioner through the air-conditioning output power control method.

[0022] Optionally, according to the target peaking power, obtaining a power scheduling scheme by using the coordinated control model includes:

[0023] Calculating the response power by using the coordinated control model according to the target peaking power;

[0024] Obtaining a power scheduling scheme by using the response power.

[0025] In a third aspect, an embodiment of the present application provides an air-conditioning load aggregation power model construction device, the device comprising:

[0026] The first construction module is used to establish an air-conditioning load aggregation power drop process model according to the variation of the air-conditioning output power with time when the preset temperature value of the air conditioner changes;

[0027] The second construction module is used to establish an air-conditioning load aggregation power model for calculating the air-conditioning load aggregation power according to the air-conditioning load aggregation power drop process model.

[0028] In a fourth aspect, an embodiment of the present application provides a power scheduling device, and the device includes:

[0029] An air-conditioning output power control module is used to control the air-conditioning output power by using a hybrid system model;

[0030] A power information conversion module is used to convert the air-conditioning output power into the power information required by a virtual peaking unit;

[0031] A coordinated control model establishment module is used to establish a coordinated control model for power scheduling according to the power information required by the virtual peaking unit;

[0032] An optimal scheduling problem establishment module is used to establish an optimal scheduling problem according to the power information required by the virtual peaking unit;

[0033] An optimal scheduling problem solving module is used to solve the optimal scheduling problem by using the air-conditioning load aggregation power model to obtain the target peaking power, where the air-conditioning load aggregation power model is constructed by using the method described in any item of the foregoing first aspect;

[0034] A power scheduling scheme calculation module is used to obtain a power scheduling scheme by using the coordinated control model according to the target peaking power.

[0035] In a fifth aspect, an embodiment of the present application provides a device, and the device includes a memory and a processor. The memory is used to store instructions or codes, and the processor is used to execute the instructions or codes so that the device executes the method for constructing the air-conditioning load aggregation power model described in any item of the foregoing first aspect, or the power scheduling method described in the second aspect.

[0036] In a sixth aspect, an embodiment of the present application provides a computer storage medium, and codes are stored in the computer storage medium. When the codes are run, the device running the codes implements the method for constructing the air-conditioning load aggregation power model described in any item of the foregoing first aspect, or the power scheduling method described in the second aspect.

[0037] Compared with the prior art, the present application has the following beneficial effects:

[0038] In this application, a model of the air-conditioning load aggregated power drop process is introduced. This model describes the change in the output power of the air conditioner when the preset temperature of the air conditioner changes, and incorporates the change in the output power of the air conditioner when the preset temperature changes into the calculation of the air-conditioning load aggregated power, thereby establishing an air-conditioning load aggregated power model. Since the change in the output power of the air conditioner when the preset temperature changes is considered, the accuracy of the air-conditioning load power calculation is improved.

[0039] In addition, in this application, the output power of the air conditioner is first controlled using a hybrid system model; then the output power of the air conditioner is converted into the power information required by the virtual peaking unit to establish a coordinated control model for power scheduling; next, an optimal scheduling problem is established based on the power information required by the virtual peaking unit; finally, the air-conditioning load aggregated power model is used to solve the optimal scheduling problem to obtain the target peaking power and a power scheduling plan is obtained using the coordinated control model; in the process of controlling the output power of the air conditioner using the hybrid system model, the demand curve is used as the interface between the air-conditioning load and the outside, which can better protect the data privacy of users and improve the security of control; and since power scheduling is performed by the virtual peaking unit in the power system, there is no need to perform scheduling work for each air conditioner individually, significantly reducing the communication cost and frequency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] To more clearly illustrate the technical solutions in the embodiments or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.

[0041] Figure 1 It is a flowchart of a method for constructing an air-conditioning load aggregated power model provided by an embodiment of the present application;

[0042] Figure 2 It is a flowchart of a method for power scheduling provided by an embodiment of the present application;

[0043] Figure 3 It is a schematic structural diagram of a device for constructing an air-conditioning load aggregated power model provided by an embodiment of the present application;

[0044] Figure 4 It is a schematic structural diagram of a power scheduling device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] In the prior art, the power information of a single temperature control device is usually collected, and the upper and lower boundaries of the load power aggregated by multiple temperature control devices are calculated from the single power information. The specific process is to first obtain the number of temperature control devices connected to the power system, and then the power information of the temperature control devices obtained in advance can be multiplied by the number of temperature control devices to finally obtain the load power of the power system.

[0046] After research, the method of the prior art does not consider the fluctuation of the output power when the preset temperature of the air conditioner changes, so it will lead to inaccurate calculation of the air conditioner load power, and it is easy to have an instantaneous power overload situation, causing potential safety hazards.

[0047] Based on this, in the embodiment of the present application, by introducing an air conditioner load aggregation power drop process model, which describes the change of the air conditioner output power when the preset temperature of the air conditioner changes, and adding the change of the air conditioner output power when the preset temperature of the air conditioner changes to the calculation of the air conditioner load aggregation power, an air conditioner load aggregation power model is established. Since the change of the air conditioner output power when the preset temperature of the air conditioner changes is considered, the accuracy of the air conditioner load power calculation is improved.

[0048] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts shall fall within the protection scope of the present application.

[0049] See Figure 1 , Figure 1 which is a flowchart of a method for constructing an air conditioner load aggregation power model provided by an embodiment of the present application, including:

[0050] S101: Establish an air conditioner load aggregation power drop process model according to the change of the air conditioner output power over time when the preset temperature value of the air conditioner changes.

[0051] Among them, the main function of the air conditioner load aggregation power drop process model is to describe the change of the air conditioner output power over time when the preset temperature of the air conditioner changes. The state equation set of this model is:

[0052]

[0053] In the formula: P agg,1 and P agg,2 are the aggregated powers of the air conditioner in the stable states before and after adjustment respectively; P mag is the lowest point of the aggregated power drop; k down is the descending rate of the aggregated power; k c is the correction coefficient of the descending rate; kup is the rising rate of the aggregated power; t1 is the moment when the adjusted temperature set value is reached; t2 is the moment when the power drops to the lowest value; t3 is the moment when the aggregated power rebounds; t4 is the moment when it returns to the stable state, and t is the current time, that is, the time calculated starting from the change of the preset temperature value.

[0054] Among them, a correction coefficient k is introduced c to correct the falling rate of the aggregated power, and its magnitude is related to the magnitude of the adjusted temperature set value, which can effectively reduce the error.

[0055] Based on the above equations, the fluctuation process of the air conditioner output power when the preset temperature changes is obtained. Thus, when calculating the load aggregated power in the subsequent steps, the air conditioner output power at each time period can be more accurately known.

[0056] S102: Establish an air conditioner load aggregated power model for calculating the air conditioner load aggregated power according to the air conditioner load aggregated power drop process model.

[0057] Among them, the air conditioner load aggregated power refers to the sum of the output powers of all air conditioners connected in the power system. The air conditioner load aggregated power model is used to calculate the air conditioner load aggregated power and serves as the data basis for power scheduling in each power consumption time period.

[0058] In a possible implementation manner, establishing an air conditioner load aggregated power model for calculating the air conditioner load aggregated power according to the air conditioner load aggregated power drop process model includes:

[0059] Obtain the output power of a single air conditioner using the equivalent thermal parameter model;

[0060] According to the change process of the air conditioner output power in the air conditioner load aggregated power drop process model, combined with the output power of a single air conditioner, establish an air conditioner load aggregated power model for calculating the air conditioner load aggregated power.

[0061] Among them, the equivalent thermal parameter model is used to construct the relationship between the indoor temperature and the air conditioner cooling power or heating power, that is, when the indoor temperature is given, the air conditioner cooling power or heating power can be obtained according to the equivalent thermal parameter model.

[0062] The establishment process of the air conditioner load aggregated power model can be understood as follows: when the indoor set temperature remains unchanged, the output power of a single air conditioner is used to calculate the air conditioner load aggregated power; when the indoor set temperature changes, the output power of a single air conditioner is added to the changes of the air conditioner output power in each time period in the air conditioner load aggregated power drop process model to obtain the output power of a single air conditioner in each time period, and then the air conditioner load aggregated power is calculated.

[0063] The embodiment of the present application introduces an air-conditioning load aggregated power drop process that describes the fluctuation process of the output power of an air conditioner when the preset temperature changes, and adds the change in the output power of the air conditioner when the preset temperature changes to the calculation process of the air-conditioning load aggregated power. Since the change in the output power of the air conditioner when the preset temperature changes is considered, the accuracy of the calculation of the air-conditioning load aggregated power in each time period is improved, and the situation of instantaneous overload of the power system can be avoided.

[0064] The embodiment of the present application also provides a method for power scheduling using the above-mentioned air-conditioning load aggregated power model. Refer to Figure 2 , which is a method for power scheduling provided by the embodiment of the present application, specifically including:

[0065] S201: Control the output power of the air conditioner using a hybrid system model.

[0066] Among them, the hybrid system model refers to combining multiple system models as multiple constraint conditions for a certain problem to obtain the optimal solution of the problem. In the embodiment of the present application, the hybrid system model specifically includes: an equivalent thermal parameter model, a control process semi-Markov model, a physical process power model, a demand curve model, and an air-conditioning load local control model.

[0067] The use of the equivalent thermal parameter model has been described in the previous embodiment and will not be elaborated here.

[0068] The semi-Markov model can establish the relationship between the expected value of the air-conditioning load aggregated power and the transition probability of the control system, thus communicating the continuous physical process and the discrete control process, and is an essential part of the power scheduling process.

[0069] The physical process power model includes the rated power, the steady-state expected power, the reference power, and the dynamic power. The rated power refers to the maximum output power of an air conditioner after it is turned on in an air-conditioning load cluster. The steady-state expected power refers to the output power of the air conditioner in a stable state. The reference power can be understood as the power required for the air conditioner to be stable at a certain preset temperature. The dynamic power is defined as the power required for the room temperature to change from the current temperature to the set temperature. Using this physical process power model, the output power of the air conditioner in different states can be obtained.

[0070] The demand curve model is used to construct a demand curve according to the electricity consumption demand of air-conditioning equipment in each time period. The abscissa of the demand curve is the virtual price, and the ordinate is the power value. The virtual price is determined according to the relationship between the electricity consumption demand power and the response power. For example, when the electricity consumption demand power is higher than the response power, the virtual price is greater than 0. When the electricity consumption demand power is lower than the response power, the virtual price is less than 0; according to a similar rule, considering factors such as the randomness of users' adjustment of the indoor temperature, the demand curve can be constructed.

[0071] The local control model of air - conditioning load is used to determine the response power of the power system according to the demand curve. The response power refers to the power that the power system needs to allocate in response to the expected value of the output power of each air - conditioner. For example, if the expected value of the output power of the air - conditioner cluster A in this period is P, then the power system needs to determine the power value allocated to the air - conditioner cluster A according to the demand curve.

[0072] In a possible implementation, using the hybrid - system model to control the air - conditioner output power includes:

[0073] Using the equivalent thermal parameter model and the physical - process power model in the hybrid - system model to generate the change process of the air - conditioner output power;

[0074] Using the demand - curve model and the local control model of air - conditioning load in the hybrid - system model to establish a control method for generating the air - conditioner output power;

[0075] Using the semi - Markov model in the hybrid - system model and combining with the change process of the air - conditioner output power, and controlling the air - conditioner output power through the air - conditioner output - power control method.

[0076] The main function of this step is to determine the output power of the air - conditioners in each period, providing a data basis for subsequent power dispatching.

[0077] S202: Convert the air - conditioner output power into the power information required by the virtual peaking unit.

[0078] Among them, the virtual peaking unit includes at least one air - conditioner.

[0079] The function of this step is to convert the output - power information of the physical air - conditioners that the system cannot recognize into the power information required by the virtual peaking units that the system can recognize, facilitating the subsequent power dispatching of each virtual unit in the power system.

[0080] S203: Establish a coordinated control model for power dispatching according to the power information required by the virtual peaking unit.

[0081] The coordinated control model includes an aggregation model and an anti - aggregation model based on the market equilibrium mechanism, and the external characteristics of the virtual peaking unit.

[0082] Among them, the aggregation model is used to sum up the demand curves of each air - conditioner to obtain the total demand curve;

[0083] The anti - aggregation model is used to reverse - infer the virtual price using the response power;

[0084] The external characteristics of the virtual peaking unit include the peaking power and peaking capacity of the virtual unit, and the peaking cost. The peaking power refers to the magnitude of the deviation of the response power of the virtual unit from the reference power. The peaking capacity is defined as the maximum peaking power, that is, the value obtained by subtracting the minimum response power from the reference power. The peaking cost is defined as the cost of power dispatching by combining the real-time electricity price and the peaking power.

[0085] S204: Establish an optimal scheduling problem based on the power information required by the virtual peaking unit.

[0086] Among them, the optimal scheduling problem is a problem of reducing the scheduling cost while meeting the power demand of the virtual peaking unit through power dispatching.

[0087] This step mainly establishes a problem of meeting the power demand of each virtual peaking unit at the lowest cost by combining the real-time electricity price and dispatching power to the target virtual peaking unit, so that the subsequent steps can solve this problem to meet the power demand of each virtual peaking unit.

[0088] S205: Solve the optimal scheduling problem by using the aggregated power model of air-conditioning loads to obtain the target peaking power.

[0089] Among them, the aggregated power model of air-conditioning loads is constructed by using the method provided in the foregoing embodiment.

[0090] The target peaking power refers to the total power value required to meet the power demand of each virtual peaking unit. The aggregated power model of air-conditioning loads combines the fluctuations of the air-conditioning output power when the preset temperature changes and can achieve accurate calculation of the air-conditioning output power.

[0091] S206: Obtain a power dispatching plan by using the coordinated control model according to the target peaking power.

[0092] Among them, the power dispatching plan means that while meeting the power demand of the virtual peaking unit through power dispatching, it can also achieve the goal of the lowest cost.

[0093] In a possible implementation manner, obtaining a power dispatching plan by using the coordinated control model according to the target peaking power includes:

[0094] Calculate the response power by using the coordinated control model according to the target peaking power;

[0095] Obtain a power dispatching plan by using the response power.

[0096] Among them, the coordinated control model calculates the response power of the power system through the power demand of the virtual peak shaving unit. Generally, the sum of the target peak shaving power and the response power is equal to the power demand of the virtual peak shaving unit in terms of power value. The final power scheduling scheme combines the bids of each virtual peak shaving unit to obtain the scheme with the lowest power scheduling cost.

[0097] In the embodiment of the present application, first, the hybrid system model is used to control the output power of the air conditioner; then, the output power of the air conditioner is converted into the power information required by the virtual peak shaving unit, and a coordinated control model for power scheduling is established; then, an optimal scheduling problem is established according to the power information required by the virtual peak shaving unit; finally, the optimal scheduling problem is solved by using the air conditioner load aggregation power model to obtain the target peak shaving power, and the power scheduling scheme is obtained by using the coordinated control model; in the process of using the hybrid system model to control the output power of the air conditioner, the demand curve is used as the connection interface between the air conditioner load and the outside, which can better protect the data privacy of users and improve the security of control; and since the virtual peak shaving unit performs power scheduling in the power system, there is no need to perform scheduling work for each air conditioner separately, which significantly reduces the communication cost and frequency of the system.

[0098] The above are some specific implementation manners of the air conditioner load aggregation power model construction method and the power scheduling method provided by the embodiment of the present application. Based on this, the present application also provides a corresponding device. The device provided by the embodiment of the present application will be introduced from the perspective of functional modularization below.

[0099] See Figure 3 the structural schematic diagram of the air conditioner load aggregation power model construction device shown, the device includes:

[0100] The first construction module 301 is used to establish an air conditioner load aggregation power drop process model according to the change of the air conditioner output power over time when the preset temperature value of the air conditioner changes;

[0101] The second construction module 302 is used to establish an air conditioner load aggregation power model for calculating the air conditioner load aggregation power according to the air conditioner load aggregation power drop process model.

[0102] In a possible implementation manner, the second construction module 302 includes:

[0103] The air conditioner output power calculation unit is used to obtain the output power of a single air conditioner by using the equivalent thermal parameter model;

[0104] The air conditioner load aggregation power model construction unit is used to establish an air conditioner load aggregation power model for calculating the air conditioner load aggregation power according to the change of the air conditioner output power over time in the air conditioner load aggregation power drop process model and in combination with the output power of a single air conditioner.

[0105] The embodiment of the present application introduces an air-conditioning load aggregated power drop process that describes the fluctuation process of the output power of an air conditioner when the preset temperature changes, and adds the change in the output power of the air conditioner when the preset temperature changes to the calculation process of the air-conditioning load aggregated power. Since the change in the output power of the air conditioner when the preset temperature changes is considered, the accuracy of calculating the air-conditioning load aggregated power in each time period is improved, and the situation of instantaneous overloading of the power system can be avoided.

[0106] The embodiment of the present application also provides a power scheduling device. Refer to Figure 4 , Figure 4 which is a structural schematic diagram of the power scheduling device. The device specifically includes:

[0107] An air-conditioning output power control module 401, configured to control the air-conditioning output power by using a hybrid system model;

[0108] A power information conversion module 402, configured to convert the air-conditioning output power into the required power information of a virtual peaking unit;

[0109] A coordinated control model establishment module 403, configured to establish a coordinated control model for power scheduling according to the required power information of the virtual peaking unit;

[0110] An optimal scheduling problem establishment module 404, configured to establish an optimal scheduling problem according to the required power information of the virtual peaking unit;

[0111] An optimal scheduling problem solving module 405, configured to solve the optimal scheduling problem by using an air-conditioning load aggregated power model to obtain the target peaking power;

[0112] A power scheduling scheme calculation module 406, configured to obtain a power scheduling scheme by using the coordinated control model according to the target peaking power.

[0113] In a possible implementation manner, the air-conditioning output power control module 401 includes:

[0114] An air-conditioning output power change process generation unit, configured to generate the change process of the air-conditioning output power by using an equivalent thermal parameter model and a physical process power model in the hybrid system model;

[0115] An air-conditioning output power control method generation unit, configured to establish and generate a control method for the air-conditioning output power by using a demand curve model and an air-conditioning load local control model in the hybrid system model;

[0116] An air-conditioning output power control unit, configured to control the air-conditioning output power by using a semi-Markov model in the hybrid system model in combination with the change process of the air-conditioning output power through the air-conditioning output power control method.

[0117] In a possible implementation, the power scheduling scheme calculation module 406 includes:

[0118] A response power calculation unit, configured to calculate the response power according to the target peak shaving power by using a coordinated control model;

[0119] A power scheduling scheme calculation unit, configured to obtain a power scheduling scheme by using the response power.

[0120] In the embodiments of the present application, first, a hybrid system model is used to control the output power of the air conditioner; then, the output power of the air conditioner is converted into the required power information of the virtual peak shaving unit, and a coordinated control model for power scheduling is established; then, an optimal scheduling problem is established according to the required power information of the virtual peak shaving unit; finally, the optimal scheduling problem is solved by using the air conditioner load aggregation power model to obtain the target peak shaving power, and the power scheduling scheme is obtained by using the coordinated control model; in the process of using the hybrid system model to control the output power of the air conditioner, taking the demand curve as the connection interface between the air conditioner load and the outside can better protect the data privacy of users and improve the security of control; and since the virtual peak shaving unit performs power scheduling in the power system, there is no need to perform scheduling work for each air conditioner separately, which significantly reduces the communication cost and frequency of the system.

[0121] The embodiments of the present application also provide corresponding devices and computer storage media for implementing the solutions provided in the embodiments of the present application.

[0122] Wherein, the device includes a memory and a processor, the memory is used to store instructions or codes, and the processor is used to execute the instructions or codes so that the device executes the method for constructing the air conditioner load aggregation power model or the power scheduling method according to any embodiment of the present application.

[0123] The computer storage medium stores codes, and when the codes are run, the device running the codes implements the method for constructing the air conditioner load aggregation power model or the power scheduling method according to any embodiment of the present application.

[0124] In the embodiments of the present application, the "first", "second" (if any) in the names such as "first" and "second" are only used as name identifiers and do not represent the first and second in order.

[0125] As can be seen from the description of the above embodiments, those skilled in the art can clearly understand that all or part of the steps in the above method embodiments can be implemented by means of software plus a general hardware platform. Based on such an understanding, the technical solution of the present application can be embodied in the form of a software product, and the computer software product can be stored in a storage medium, such as a read-only memory (ROM) / RAM, magnetic disk, optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network communication device such as a router) to execute the methods described in various embodiments or some parts of the embodiments of the present application.

[0126] Each embodiment in this specification is described in a progressive manner, and the same or similar parts among the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the device embodiments, since they are basically similar to the method embodiments, they are described relatively simply, and the relevant parts can be referred to the partial description of the method embodiments. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative work.

[0127] The above is only an exemplary embodiment of the present application and is not used to limit the protection scope of the present application.

Claims

1. A method for constructing an aggregated power model of air-conditioning loads, characterized in that, The method includes: Establishing an air-conditioning load aggregated power drop process model based on the variation of the air-conditioning output power with time when the preset temperature value of the air-conditioning changes; Establishing an air-conditioning load aggregated power model for calculating the air-conditioning load aggregated power based on the air-conditioning load aggregated power drop process model; Among them, the state equation set of the air-conditioning load aggregated power drop process model is: In the state equation, P agg,1 and P agg,2 are respectively the aggregated powers of the air conditioner in the stable state before and after adjustment; P mag is the lowest point of the aggregated power drop; k down is the decreasing rate of the aggregated power; k c is the correction coefficient of the decreasing rate; k up is the increasing rate of the aggregated power; t1 is the moment when the adjusted temperature set value is reached; t2 is the moment when the power drops to the lowest value; t3 is the moment when the aggregated power recovers; t4 is the moment when it returns to the stable state, and t is the time calculated after the preset temperature value changes.

2. The method according to claim 1, wherein The establishing an air-conditioning load aggregated power model for calculating the air-conditioning load aggregated power based on the air-conditioning load aggregated power drop process model includes: Obtaining the output power of a single air-conditioning using an equivalent thermal parameter model; Based on the variation of the air-conditioning output power with time in the air-conditioning load aggregated power drop process model, and combining with the output power of the single air-conditioning, establishing an air-conditioning load aggregated power model for calculating the air-conditioning load aggregated power.

3. A power scheduling method, characterized in that The method includes: Controlling the air-conditioning output power using a hybrid system model; Converting the air-conditioning output power into the required power information of a virtual peaking unit, where the virtual peaking unit includes at least one air-conditioning; Establishing a coordinated control model for power scheduling based on the required power information of the virtual peaking unit; Establishing an optimal scheduling problem based on the required power information of the virtual peaking unit, where the optimal scheduling problem is a problem of solving the power demand of the virtual peaking unit through power scheduling; Solving the optimal scheduling problem using the air-conditioning load aggregated power model to obtain the target peaking power, where the air-conditioning load aggregated power model is constructed using the method described in any one of claims 1-2; Based on the target peaking power, obtaining a power scheduling plan using the coordinated control model, where the power scheduling plan meets the power demand of the virtual peaking unit through power scheduling.

4. The method according to claim 3, characterized in that, The controlling the air-conditioning output power using a hybrid system model includes: Generating a change process of the air-conditioning output power using the equivalent thermal parameter model and the physical process power model in the hybrid system model; Establishing a control method for generating the air-conditioning output power using the demand curve model and the air-conditioning load local control model in the hybrid system model; Controlling the air-conditioning output power using the semi-Markov model in the hybrid system model in combination with the change process of the air-conditioning output power through the air-conditioning output power control method.

5. The method according to claim 3, characterized in that, The obtaining a power scheduling plan using the coordinated control model based on the target peaking power includes: Calculating the response power using the coordinated control model based on the target peaking power; Obtaining a power scheduling plan using the response power.

6. An air-conditioning load aggregation power model construction device, characterized in that The device includes: A first construction module for establishing an air-conditioning load aggregated power drop process model based on the variation of the air-conditioning output power with time when the preset temperature value of the air-conditioning changes; A second construction module for establishing an air-conditioning load aggregated power model for calculating the air-conditioning load aggregated power based on the air-conditioning load aggregated power drop process model; Among them, the state equation set of the air-conditioning load aggregated power drop process model is: In the state equation, P agg,1 and P agg,2 are respectively the aggregated power of the air conditioner in the stable state before and after adjustment; P mag is the lowest point of the aggregated power drop; k down is the decline rate of the aggregated power; k c is the correction coefficient of the decline rate; k up is the rise rate of the aggregated power; t1 is the moment when the adjusted temperature set value is changed; t2 is the moment when the power drops to the lowest; t3 is the moment when the aggregated power rebounds; t4 is the moment when it returns to the stable state, and t is the time calculated after the preset temperature value changes.

7. A power scheduling device, characterized in that, The device includes: An air-conditioning output power control module for controlling the air-conditioning output power using a hybrid system model; A power information conversion module, configured to convert the output power of the air conditioner into the power information required by the virtual peaking unit; A coordinated control model establishment module, configured to establish a coordinated control model for power dispatching according to the power information required by the virtual peaking unit; An optimal scheduling problem establishment module, configured to establish an optimal scheduling problem according to the power information required by the virtual peaking unit; An optimal scheduling problem solving module, configured to solve the optimal scheduling problem by using the air-conditioning load aggregated power model to obtain the target peaking power, wherein the air-conditioning load aggregated power model is constructed by using the method according to any one of claims 1-2; A power dispatching scheme calculation module, configured to obtain a power dispatching scheme by using the coordinated control model according to the target peaking power.

8. A device for constructing an aggregated power model of air-conditioning loads, characterized in that, The device includes: A memory, configured to store instructions or codes for constructing the air-conditioning load aggregated power model; A processor, configured to execute the instructions or codes for constructing the air-conditioning load aggregated power model to implement the method for constructing the air-conditioning load aggregated power model according to any one of claims 1-2.

9. A power scheduling device, characterized in that, The device includes: A memory, configured to store instructions or codes for power dispatching; A processor, configured to execute the instructions or codes for power dispatching to implement the method for power dispatching according to any one of claims 3-5.

10. A computer storage medium, characterized in that, Codes are stored in the computer storage medium, and when the codes are run, the device running the codes implements the method for constructing the air-conditioning load aggregated power model according to any one of claims 1-2 or the method for power dispatching according to any one of claims 3-5.

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