An uncertainty error processing method and system for load regulation of a variable frequency air conditioner

Abstract

The application provides a variable frequency air conditioner load regulation uncertainty error processing method and system, the method comprises the following steps: constructing a room temperature-air conditioner power relationship model in advance; obtaining the air conditioner power regulation range of each variable frequency air conditioner in the variable frequency air conditioner cluster according to the room temperature-air conditioner power relationship model, and obtaining the air conditioner compressor frequency regulation range according to the air conditioner power regulation range; obtaining the local measurement frequency deviation of each variable frequency air conditioner, and correcting the local measurement frequency deviation by the time backtracking method to obtain the local measurement frequency deviation correction value; obtaining the air conditioner compressor frequency regulation value according to each local measurement frequency deviation correction value and the corresponding air conditioner compressor frequency regulation range; and regulating the load of the corresponding variable frequency air conditioner according to the air conditioner compressor frequency regulation value. The application can effectively process the uncertainty error in the continuous regulation load regulation, greatly improve the load regulation convergence speed, and avoid the overshoot risk in the regulation process.

Description

Technical Field

[0001] This invention relates to the field of power system automation control technology, and in particular to a method, system, computer equipment, and storage medium for handling uncertainty errors in variable frequency air conditioning load control. Background Technology

[0002] Variable frequency air conditioners can continuously adjust power consumption by regulating the operating frequency of the compressor. They belong to the continuously adjustable flexible loads (CFLs) in the dynamic response loads of the power system and have an important impact on the stable operation and reliable dispatch of the power system.

[0003] Variable frequency air conditioners can reduce signal transmission delays and improve the stability of power system dispatch by employing a distributed control structure during power system regulation. However, in practical applications, the signal transmission in this scheme is susceptible to uncertainties and interference, which can lead to errors and affect the regulation effect on the demand response side. Therefore, how to effectively handle the uncertainties in the regulation of continuously regulating loads such as variable frequency air conditioners has become a pressing technical challenge in power system automation regulation. Summary of the Invention

[0004] The purpose of this invention is to provide a method for handling uncertainty errors in variable frequency air conditioner load regulation. This method determines the frequency regulation range of a single air conditioner by establishing a nonlinear relationship between room temperature and the operating power of the air conditioner compressor. Combining this with a normal distribution relationship based on local measurement frequency errors, the method uses a time-backtracking approach to correct the local measurement frequency deviation of the terminal controller, thereby uniformly regulating the variable frequency load in the power system. This addresses the shortcomings of existing variable frequency air conditioners, which use a distributed control structure and are susceptible to uncertainty errors, leading to poor regulation performance on the demand response side. The method effectively handles uncertainty errors in the regulation of continuously adjustable loads such as variable frequency air conditioners, significantly improving the convergence speed of load regulation while avoiding overshoot risks during the regulation process, thus providing a reliable guarantee for the stability of power system dispatch.

[0005] In order to achieve the above objectives, it is necessary to provide a method, system, computer equipment and storage medium for handling uncertainty errors in variable frequency air conditioning load regulation, which addresses the above technical problems.

[0006] In a first aspect, embodiments of the present invention provide a method for handling uncertainty errors in variable frequency air conditioner load regulation, the method comprising the following steps:

[0007] Pre-build a model showing the relationship between room temperature and air conditioning power;

[0008] Based on the room temperature and air conditioning power relationship model, the air conditioning power adjustment range of each variable frequency air conditioner in the variable frequency air conditioning cluster is obtained, and based on the air conditioning power adjustment range, the corresponding air conditioning compressor frequency adjustment range is obtained.

[0009] The local measurement frequency deviation of each inverter air conditioner is obtained, and the error correction of the local measurement frequency deviation is performed by time backtracking method to obtain the corresponding local measurement frequency deviation correction value.

[0010] Based on the local measurement frequency deviation correction values ​​and the corresponding air conditioner compressor frequency adjustment range, the corresponding air conditioner compressor frequency control value is obtained;

[0011] Based on the air conditioner compressor frequency control value, the load of the corresponding inverter air conditioner is adjusted.

[0012] Furthermore, the step of pre-constructing the room temperature-air conditioning power relationship model includes:

[0013] A room temperature change model is constructed based on a first-order equivalent thermal parameter model.

[0014] Discretize the room temperature change model to obtain a discrete room temperature model;

[0015] A frequency relationship model for air conditioning cooling capacity is obtained through nonlinear fitting;

[0016] Based on the air conditioning cooling capacity frequency relationship model and the room temperature discrete model, the room temperature air conditioning power relationship model is obtained.

[0017] Further, the step of obtaining the air conditioning power adjustment range of each inverter air conditioner in the inverter air conditioning cluster based on the room temperature-air conditioning power relationship model, and obtaining the corresponding air conditioning compressor frequency adjustment range based on the air conditioning power adjustment range, includes:

[0018] Based on the room temperature and air conditioning power relationship model and the preset indoor temperature variation range, the corresponding air conditioning power adjustment range is obtained by solving.

[0019] Obtain the power consumption and compressor operating frequency relationship model for each inverter air conditioner, and based on the power consumption and compressor operating frequency relationship model and the air conditioner power adjustment range, obtain the corresponding air conditioner compressor frequency adjustment range.

[0020] Furthermore, the step of obtaining the local measurement frequency deviation of each inverter air conditioner includes:

[0021] The corresponding local measurement frequency is obtained through the terminal controller of each variable frequency air conditioner, and the corresponding local measurement frequency deviation is obtained based on the current local measurement frequency and the rated frequency of the power system.

[0022] The current power system frequency monitoring value is obtained through a synchronous phasor measurement device, and the corresponding power system monitoring frequency deviation is obtained based on the current power system frequency monitoring value and the rated frequency of the power system.

[0023] Based on the power system monitoring frequency deviation and the local measurement frequency deviation of each variable frequency air conditioner, the corresponding local measurement error is obtained.

[0024] Furthermore, the step of correcting the local measurement frequency deviation using the time backtracking method to obtain the corresponding local measurement frequency deviation correction value includes:

[0025] The expected value and variance of the local measurement error are iteratively solved by using the minimum variance unbiased estimation, which assumes that the local measurement error follows a normal error distribution.

[0026] Based on the expected error of the normal error distribution, the local measurement frequency deviation is corrected to obtain the corresponding local measurement frequency deviation correction value.

[0027] Furthermore, the step of obtaining the corresponding air conditioner compressor frequency control value based on each local measured frequency deviation correction value and the corresponding air conditioner compressor frequency adjustment range includes:

[0028] When the local measurement frequency deviation correction value is less than the lower limit of the preset local measurement frequency deviation range, the current compressor operating frequency is obtained and the current compressor operating frequency is used as the air conditioner compressor frequency control value.

[0029] When the local measurement frequency deviation correction value is greater than the upper limit of the preset local measurement frequency deviation range, the minimum compressor frequency in the air conditioner compressor frequency adjustment range is obtained, and the minimum compressor frequency is used as the air conditioner compressor frequency control value.

[0030] When the local measurement frequency deviation correction value is within the preset local measurement frequency deviation range, the compressor operating frequency correction value is obtained based on the local measurement frequency deviation correction value and the preset local measurement frequency deviation range, and the compressor operating frequency correction value is used as the air conditioner compressor frequency control value.

[0031] Furthermore, the frequency control value of the air conditioner compressor is expressed as follows:

[0032]

[0033] in, This represents the frequency control value of the air conditioner compressor for the j-th variable frequency air conditioner at time t; This represents the current compressor operating frequency before the j-th variable frequency air conditioner control at time t; This represents the local measurement frequency deviation correction value for the j-th variable frequency air conditioner at time t; and This indicates the lower and upper limits of the preset local measurement frequency deviation range. This represents the minimum compressor frequency within the frequency adjustment range of the j-th inverter air conditioner.

[0034] Secondly, embodiments of the present invention provide an uncertainty error processing system for variable frequency air conditioner load regulation, the system comprising:

[0035] The model building module is used to pre-build a model of the relationship between room temperature and air conditioning power.

[0036] The frequency range module is used to obtain the air conditioning power adjustment range of each variable frequency air conditioner in the variable frequency air conditioning cluster according to the room temperature air conditioning power relationship model, and to obtain the corresponding air conditioning compressor frequency adjustment range according to the air conditioning power adjustment range.

[0037] The error correction module is used to obtain the local measurement frequency deviation of each inverter air conditioner, and to correct the error of the local measurement frequency deviation by means of time backtracking to obtain the corresponding local measurement frequency deviation correction value.

[0038] The control value generation module is used to obtain the corresponding air conditioner compressor frequency control value based on the local measured frequency deviation correction value and the corresponding air conditioner compressor frequency adjustment range;

[0039] The load control module is used to control the load of the corresponding inverter air conditioner according to the frequency control value of the air conditioner compressor.

[0040] Thirdly, embodiments of the present invention also provide a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method.

[0041] Fourthly, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-described method.

[0042] The present application provides a method, system, computer equipment, and storage medium for handling uncertainty errors in variable frequency air conditioner load regulation. The method achieves the following: a pre-constructed room temperature-air conditioner power relationship model is established; the air conditioner power adjustment range of each variable frequency air conditioner in the variable frequency air conditioner cluster is obtained based on the room temperature-air conditioner power relationship model; the corresponding air conditioner compressor frequency adjustment range is obtained based on the air conditioner power adjustment range; the local measured frequency deviation of each variable frequency air conditioner is acquired; the local measured frequency deviation is corrected using a time backtracking method to obtain the corresponding local measured frequency deviation correction value; and the corresponding air conditioner compressor frequency control value is obtained based on each local measured frequency deviation correction value and the corresponding air conditioner compressor frequency adjustment range. Finally, the technical solution for load regulation of the corresponding variable frequency air conditioner is achieved based on the air conditioner compressor frequency control value. Compared with existing technologies, this method for handling uncertainty errors in variable frequency air conditioning load regulation determines the frequency adjustment range of a single air conditioner by establishing a nonlinear relationship between room temperature and the operating power of the air conditioning compressor. Combined with the normal distribution relationship based on the local measurement frequency error, the method uses time backtracking to correct the local measurement frequency deviation of the terminal controller and uniformly regulates the variable frequency load in the power system. This method can effectively handle uncertainty errors in the regulation of continuously adjustable loads such as variable frequency air conditioners, greatly improve the convergence speed of load regulation, and avoid the risk of overshoot in the regulation process, thus providing a reliable guarantee for the stability of power system dispatch. Attached Figure Description

[0043] Figure 1 This is a schematic diagram illustrating the application scenario of the uncertainty error handling method for variable frequency air conditioner load regulation in this embodiment of the invention;

[0044] Figure 2 This is a flowchart illustrating the uncertainty error handling method for variable frequency air conditioner load regulation in an embodiment of the present invention.

[0045] Figure 3 This is the embodiment of the invention. Figure 2 A schematic diagram of the variable frequency air conditioning distributed control structure of a power system model containing a reheat steam turbine, illustrating the uncertainty error handling method shown.

[0046] Figure 4 This is an embodiment of the present invention. Figure 3 A schematic diagram of the room temperature and air conditioning power relationship model corresponding to the variable frequency air conditioner in the distributed control structure of the variable frequency air conditioner.

[0047] Figure 5 This is a comparative schematic diagram of frequency change curves under three scenarios in an embodiment of the present invention;

[0048] Figure 6 In this embodiment of the invention, air conditioning load is involved in regulation but not used. Figure 2A schematic diagram of the air conditioner power response results using the uncertainty error processing method shown;

[0049] Figure 7 In this embodiment of the invention, air conditioning load is involved in regulation and is adopted. Figure 2 A schematic diagram of the air conditioning power response results using the uncertainty error processing method shown in the figure;

[0050] Figure 8 This is a schematic diagram of the uncertainty error processing system for variable frequency air conditioner load regulation in an embodiment of the present invention;

[0051] Figure 9 This is an internal structural diagram of the computer device in an embodiment of the present invention. Detailed Implementation

[0052] To make the objectives, technical solutions, and beneficial effects of this application clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Obviously, the embodiments described below are only part of the embodiments of the present invention and are used to illustrate the present invention, but are not intended to limit the scope of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0053] The uncertainty error handling method for variable frequency air conditioner load regulation provided by this invention can be understood as addressing the current application situation where the signal transmission of existing variable frequency air conditioners using a distributed control structure in the process of participating in power system regulation is easily affected by uncertainty interference, thus affecting the regulation effect on the demand response side. The proposed method first identifies the nonlinear relationship between the power change of continuously adjustable temperature-controlled load and the indoor temperature change using a data-driven method. After determining the upper and lower limits of power regulation for the continuously adjustable temperature-controlled load in participating in demand response based on the nonlinear relationship between power change and indoor temperature change identified in the first part, and determining the control parameters for the load group's participation in demand response, a time backtracking method is used to eliminate the influence of uncertain interference in the system during the regulation process on the frequency feedback signal, thereby improving the regulation effect. This solution can be applied to applications such as... Figure 1 The terminal or server shown is used. The terminal can be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices. The server can be a standalone server or a server cluster composed of multiple servers. The server can, according to actual application needs, use the uncertainty error processing method for variable frequency air conditioning load control provided by this invention to perform efficient and accurate continuous load control, and use the obtained control results for subsequent server research or transmit them to the terminal for terminal users to view and analyze. The following embodiments will provide a detailed description of the uncertainty error processing method for variable frequency air conditioning load control of this invention.

[0054] In one embodiment, such as Figure 2 As shown, a method for handling uncertainty errors in variable frequency air conditioner load regulation is provided, including the following steps:

[0055] S11. Pre-construct a room temperature-air conditioning power relationship model; wherein, the room temperature-air conditioning power relationship model can be understood as a model used to describe the nonlinear relationship between room temperature and air conditioning power, which can be established by analyzing the historical operating data of indoor and outdoor temperature data, air conditioning cooling capacity and air conditioning power corresponding to each variable frequency air conditioner; specifically, the steps of pre-constructing the room temperature-air conditioning power relationship model include:

[0056] A room temperature variation model is constructed based on a first-order equivalent thermal parameter model. This model can be understood as a description of the room temperature variation under the influence of indoor and outdoor heat sources in the room where the inverter air conditioner is located, and is expressed as follows:

[0057]

[0058] In the formula, for Indoor ambient temperature at any time, in °C; It is the equivalent thermal resistance, which is the reciprocal of the air heat loss coefficient, and its unit is ℃ / kW; Indoor gas heat capacity, unit: kJ / ℃; for The air conditioning cooling capacity at any given time, in kW; for The ambient temperature at any given time, in °C;

[0059] The room temperature change model is discretized to obtain a discrete room temperature model, which can be understood as a model operating at a preset time step. The model for the corresponding time period under the condition that the indoor and outdoor temperatures remain constant is represented as follows:

[0060]

[0061] in, and They represent and The indoor temperature value at any given time; express The indoor temperature value at any given time; Indicates the preset time step; This example establishes a functional relationship between air conditioner power and cooling capacity. However, in practical engineering applications, since it's impossible to measure the cooling capacity of an air conditioner within a room over a specific time period, this example preferably reflects this relationship through the closely related operating power of the air conditioner. The expression;

[0062] A frequency relationship model for air conditioning cooling capacity is obtained through nonlinear fitting. Preferably, this model uses a third-order equation based on collected historical operating data to fit the nonlinear relationship between air conditioning cooling capacity and operating power, expressed as:

[0063]

[0064] in, The model coefficients can be obtained by nonlinear fitting based on the collected historical operating data, that is, by using a data-driven method to identify the correlation coefficients.

[0065] Based on the air conditioning cooling capacity frequency relationship model and the room temperature discrete model, the room temperature air conditioning power relationship model is obtained; wherein, the room temperature air conditioning power relationship model can be understood as using the obtained air conditioning cooling capacity frequency relationship model as... The model obtained by substituting the above discrete room temperature model into the nonlinear relationship between room temperature and air conditioner compressor operating power will not be described in detail here.

[0066] S12. Based on the room temperature and air conditioning power relationship model, the air conditioning power adjustment range of each variable frequency air conditioner in the variable frequency air conditioning cluster is obtained, and the corresponding air conditioning compressor frequency adjustment range is obtained based on the air conditioning power adjustment range; wherein, the air conditioning power adjustment range can be understood as the operating power adjustment range corresponding to each variable frequency air conditioner, and the air conditioning compressor frequency adjustment range can be understood as the compressor operating frequency range to ensure that the variable frequency air conditioner operates within the operating power adjustment range.

[0067] Specifically, the steps of obtaining the air conditioning power adjustment range of each inverter air conditioner in the inverter air conditioning cluster based on the room temperature-air conditioning power relationship model, and obtaining the corresponding air conditioning compressor frequency adjustment range based on the air conditioning power adjustment range, include:

[0068] Based on the room temperature-air conditioning power relationship model and the preset indoor temperature variation range, the corresponding air conditioning power adjustment range is obtained. The specific process for solving the air conditioning power adjustment range of each inverter air conditioner is as follows:

[0069] make The discrete model of room temperature is then transformed into:

[0070]

[0071] Based on the above formula, it is easy to see that at the current moment, the indoor temperature and parameters... Given that the outdoor temperature is known, the indoor temperature at the next moment is determined solely by the function... If so, then the range of indoor temperature variation With the power adjustment range of the air conditioner There is a one-to-one correspondence.

[0072] After determining the preset indoor temperature variation range, the air conditioner power adjustment range (air conditioner power variation range) can be obtained using software with similar functions, such as the MATLAB solver; among which, and These represent the lower limit and upper limit of the indoor temperature range, respectively, for the preset indoor temperature variation range. and These represent variable frequency air conditioning clusters. The lower limit of the power adjustment range and the lower limit of the power of the j-th variable frequency air conditioner are given. This represents the total number of variable frequency air conditioner loads.

[0073] Obtain the power consumption and compressor operating frequency relationship model for each inverter air conditioner, and based on the power consumption and compressor operating frequency relationship model and the air conditioner power adjustment range, obtain the corresponding air conditioner compressor frequency adjustment range; wherein, the power consumption and compressor operating frequency relationship model can also be obtained through linear fitting, expressed as:

[0074]

[0075] In the formula, Let be the ratio of the power consumption of the j-th inverter air conditioner to the compressor operating frequency. The constant coefficient for the power consumption of the j-th variable frequency air conditioner can be obtained through data fitting, and no specific limitation is made here;

[0076] Based on the above method and steps, the power consumption and compressor operating frequency relationship model shows a one-to-one correspondence between power consumption and compressor operating frequency. Based on the obtained air conditioner power adjustment range, the corresponding air conditioner compressor frequency adjustment range can be deduced from the power consumption and compressor operating frequency relationship model. It should be noted that the air conditioner compressor frequency adjustment range obtained here will serve as the basis for subsequently obtaining the air conditioner compressor frequency control value used for load regulation. For specific usage methods, please refer to the relevant descriptions in the subsequent process of obtaining the air conditioner compressor frequency control value.

[0077] S13. Obtain the local measurement frequency deviation of each inverter air conditioner, and correct the local measurement frequency deviation using a time backtracking method to obtain the corresponding local measurement frequency deviation correction value; wherein, the local measurement frequency deviation can be understood as the deviation of the measurement frequency of the terminal controller used for distributed management and control of the inverter air conditioners; specifically, the step of obtaining the local measurement frequency deviation of each inverter air conditioner includes:

[0078] The corresponding local measurement frequency is obtained through the terminal controller of each variable frequency air conditioner, and the corresponding local measurement frequency deviation is obtained based on the current local measurement frequency and the rated frequency of the power system; wherein, there is a one-to-one correspondence between the terminal controller and the variable frequency air conditioner, and the obtained local measurement frequency deviation is expressed as follows:

[0079]

[0080] in, Indicates the rated frequency of the power system; This represents the current local measurement frequency measured by the i-th terminal controller at time t; This represents the local measurement frequency deviation of the i-th terminal controller at time t;

[0081] The current power system frequency monitoring value is obtained through a synchronous phasor measurement unit (PMU), and the corresponding power system monitoring frequency deviation is obtained based on the current power system frequency monitoring value and the rated frequency of the power system. The synchronous phasor measurement unit (PMU) is a phasor measurement unit that uses the second pulse of the Global Positioning System (GPS) as a synchronization clock. In this embodiment, it is used to monitor the power system frequency. Considering that the accuracy of its measured system frequency is much higher than that of the terminal controller of the variable frequency air conditioner, it is used as the accurate value to quantify and evaluate the measurement error of the terminal controller.

[0082] The above power system monitoring frequency deviation is expressed as follows:

[0083]

[0084] in, Let t be the current power system frequency monitoring value at time t; This indicates the power system monitoring frequency deviation at time t;

[0085] Based on the power system monitoring frequency deviation and the local measurement frequency deviation of each variable frequency air conditioner, the corresponding local measurement error is obtained; wherein, the local measurement error is expressed as:

[0086]

[0087] In the formula, , It is the total number of historical parameters retained by the terminal controller. This indicates the serial number of the terminal controller, and is related to the serial number of the variable frequency air conditioner. One-to-one correspondence;

[0088] The aforementioned time backtracking method can be understood as a method for iteratively updating the expected value and variance of the local measurement error distribution of the terminal controller, and thereby correcting the current monitoring error of the terminal controller. Specifically, the step of correcting the local measurement frequency deviation using the time backtracking method to obtain the corresponding local measurement frequency deviation correction value includes:

[0089] The expected value and variance of the error, which follow a normal error distribution, are iteratively solved using the minimum variance unbiased estimation method. The probability distribution of the local measurement error, based on generalized error distribution theory, can be determined to be a normal distribution, i.e.:

[0090]

[0091] In the formula,

[0092]

[0093] in, Let be the local measurement error of the i-th terminal controller, i.e. Statistical set; and Let $\mathbf$ and $\mathbf$ represent the expected error and variance of the corresponding normal distribution, respectively.

[0094] The specific process for solving the expected error and variance of the normal distribution using the minimum variance unbiased estimation is as follows:

[0095] Based on the unbiased estimate of the variance lower bound of the deterministic parameters provided by the Cramer-Rhodes bound, the expectation and variance of the normal distribution are solved using the minimum variance unbiased estimate, expressed as:

[0096]

[0097]

[0098] in, and Let these be the expected value and variance of the error, respectively, representing the normal distribution of the local measurement error.

[0099] Based on the expected error of the normal error distribution, the local measurement frequency deviation is corrected to obtain the corresponding local measurement frequency deviation correction value. The process of obtaining the local measurement frequency deviation correction value can be understood as follows: the superposition of two normal distributions with opposite means and the same variance will result in another normal distribution with a mean of 0 but a variance twice that of the original. Preferably, after the uncertainty interference noise removal process, the corresponding local measurement frequency deviation correction value can be expressed as:

[0100]

[0101] in, and These represent the local measurement frequency deviation and the corresponding local measurement frequency deviation correction value of the i-th terminal controller, respectively. and This represents the expected value of the local measurement error, which follows a normal distribution.

[0102] Furthermore, considering that the steps for calculating the expected error and variance of the normal distribution require storing a large amount of historical processing data, which inevitably consumes a significant amount of storage resources, this embodiment preferably updates the expected error and variance of the normal distribution through iterative calculation. The specific process is as follows:

[0103] Assume the local measurement error of the i-th terminal controller in the new power system is The corrected expected value and variance of the local measurement error are expressed as follows:

[0104]

[0105]

[0106] Based on the above equation, we can further derive the iterative update formulas for the expected error and variance of the normal distribution, expressed as:

[0107]

[0108]

[0109] The method presented in this embodiment, which iteratively updates the expected error and variance of the local measurement error based on a normal distribution using time backtracking, eliminates the need for each terminal controller to store all historical data. Instead, it only needs to store the expected error and variance calculated in the previous iteration to obtain the expected error and variance of the current round. Based on the determined expected error of the current round, the required local measurement frequency deviation correction value can be obtained, effectively reducing the storage capacity and computational requirements of each terminal controller.

[0110] S14. Based on each local measured frequency deviation correction value and the corresponding air conditioner compressor frequency adjustment range, obtain the corresponding air conditioner compressor frequency control value; wherein, the air conditioner compressor frequency control value can be understood as the optimal compressor control frequency determined by the terminal controller based on the numerical relationship between the local measured frequency deviation correction value and the preset local measured frequency deviation range after inputting the local measured frequency deviation correction value into the terminal controller; specifically, the step of obtaining the corresponding air conditioner compressor frequency control value based on each local measured frequency deviation correction value and the corresponding air conditioner compressor frequency adjustment range includes:

[0111] When the local measurement frequency deviation correction value is less than the lower limit of the preset local measurement frequency deviation range, the current compressor operating frequency is obtained and used as the air conditioner compressor frequency control value; wherein, the preset local measurement frequency deviation range can be determined according to actual application requirements, and is not specifically limited here;

[0112] When the local measurement frequency deviation correction value is greater than the upper limit of the preset local measurement frequency deviation range, the minimum compressor frequency in the air conditioner compressor frequency adjustment range is obtained, and the minimum compressor frequency is used as the air conditioner compressor frequency control value.

[0113] When the local measurement frequency deviation correction value is within the preset local measurement frequency deviation range, the compressor operating frequency correction value is obtained based on the local measurement frequency deviation correction value and the preset local measurement frequency deviation range, and the compressor operating frequency correction value is used as the air conditioner compressor frequency control value.

[0114] Based on the above process of obtaining the air conditioner compressor frequency control value, the corresponding expression can be obtained as follows:

[0115]

[0116] in, This represents the frequency control value of the air conditioner compressor for the j-th variable frequency air conditioner at time t; This represents the current compressor operating frequency before the j-th variable frequency air conditioner control at time t; This represents the local measurement frequency deviation correction value for the j-th variable frequency air conditioner at time t; and This indicates the lower and upper limits of the preset local measurement frequency deviation range. This represents the minimum compressor frequency within the frequency adjustment range of the j-th inverter air conditioner.

[0117] Based on the expression for the frequency control value of the air conditioner compressor, it can be seen that as the frequency deviation of the power system increases, the capacity of continuously adjustable loads participating in system regulation will also increase. Therefore, based on the uncertainty error processing method given in this embodiment, the reliability of power system regulation can be guaranteed while effectively correcting the error, and the risk of overshoot can be reduced.

[0118] S15. Based on the frequency control value of the air conditioner compressor, the load of the corresponding inverter air conditioner is adjusted.

[0119] This application embodiment determines the adjustment range of a single air conditioner by establishing a nonlinear relationship between room temperature and the operating frequency of the air conditioner compressor. Then, it solves the frequency error distribution between the terminal controller and the synchronous phasor measurement device, and uses the proposed time-backtracking iterative solution method for simplified error expectation and variance to correct the monitoring error of the terminal controller. By removing the frequency deviation value of the error term, a scheme for unified control of the power system is proposed. When the power system is disturbed, it can effectively handle the uncertainty error in the control of continuously adjustable loads such as variable frequency air conditioners, greatly improve the convergence speed of load control, and avoid the risk of overshoot in the control process, thus providing a reliable guarantee for the stability of power system dispatch.

[0120] To verify the effectiveness of the uncertainty error handling method for variable frequency air conditioning load regulation proposed in this invention, this application also provides... Figure 3 The simulation example shown is of a variable frequency air conditioning cluster performing load regulation in a power system model containing a reheat steam turbine. Figure 3 The power system model with a reheat turbine shown encounters frequency interference during operation. To quickly adjust frequency fluctuations, an air conditioning load system is connected externally for frequency regulation. However, this air conditioning load system requires continuous frequency measurement during regulation. Due to the inaccuracy of local measurements, frequency errors occur. This invention employs an uncertainty error handling method during load regulation to improve the control effect on the demand response side. The specific simulation process is as follows:

[0121] Assuming the above power system model has a reheat turbine generating capacity of 56MW, a rated frequency of 50Hz, an average power of 1.4kW for continuously regulating loads, 2000 loads participating in the system response, and frequency thresholds for load participation in system regulation set at 0.03Hz and 0.20Hz, and the droop control coefficient for primary frequency regulation... The proportional control coefficient for secondary frequency modulation is 0.05. and integral control coefficient The governor time constants are 0.005 and 0.01 respectively. The transient droop compensator time constant is 0.30s. and 4s and 30s respectively; the inertial constant of the power system The load damping coefficient is 0.1. The value is 0.002; the parameters for inverter air conditioners are: time step. It takes 1 second; for ℃ / KW; It is 250 KJ / ℃; The temperature is 32℃.

[0122] Meanwhile, the coefficients of the air conditioning cooling capacity frequency relationship model obtained using the least squares method based on the collected historical operating data are shown in Table 1. Furthermore, based on the air conditioning cooling capacity frequency relationship model, the room temperature air conditioning power relationship model is as follows: Figure 4 As shown.

[0123] Table 1. Coefficients of the Air Conditioning Cooling Capacity Frequency Relationship Model

[0124]

[0125] Comparative simulation experiments were conducted on three different scenarios: no air conditioning load involved in regulation, regulation with air conditioning load involved but without error correction using the uncertainty error handling method provided in this invention, and regulation with air conditioning load involved and error correction using the uncertainty error handling method provided in this invention. Figure 5 The frequency change curves shown in the three scenarios are as follows: Figure 6 The power response results shown are those involving air conditioning load regulation but without using the uncertainty error processing method (backtracking correction) provided by this invention for error correction. Figure 7 The power response results shown are those with air conditioning load participating in the regulation and with error correction performed using the uncertainty error processing method provided by this invention.

[0126] Depend on Figure 5 It can be seen that without air conditioning participation in the response, the system experiences significant frequency fluctuations under disturbance and recovers to steady state slowly, with a large overshoot during the adjustment process. With air conditioning participation in the response, the system frequency can be quickly adjusted to the rated value. It can also be seen that compared with not using backtracking correction, using the backtracking correction method provided by this invention to correct the error can adjust to the rated value more quickly.

[0127] from Figure 6 and Figure 7By comparing and analyzing, it can be seen that the air conditioning power fluctuation is smoother after adopting the backtracking correction method provided by the present invention. This shows that the distributed control method based on backtracking correction provided by the present invention can effectively alleviate the frequency fluctuation of the system caused by external interference. When the power system is disturbed, the control method that removes the error term can greatly improve the convergence speed of the control and reduce the overshoot phenomenon in the control process compared with the control method that does not remove the error term. This also proves that the present invention has excellent performance in dealing with local measurement errors.

[0128] It should be noted that although the steps in the flowchart above are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order requirement for the execution of these steps, and they can be executed in other orders.

[0129] In one embodiment, such as Figure 8 As shown, an uncertainty error processing system for variable frequency air conditioner load regulation is provided, the system comprising:

[0130] Model building module 1 is used to pre-build a model of the relationship between room temperature and air conditioning power;

[0131] Frequency range module 2 is used to obtain the air conditioning power adjustment range of each variable frequency air conditioner in the variable frequency air conditioning cluster according to the room temperature air conditioning power relationship model, and to obtain the corresponding air conditioning compressor frequency adjustment range according to the air conditioning power adjustment range.

[0132] Error correction module 3 is used to obtain the local measurement frequency deviation of each variable frequency air conditioner, and to correct the error of the local measurement frequency deviation by time backtracking method to obtain the corresponding local measurement frequency deviation correction value.

[0133] The control value generation module 4 is used to obtain the corresponding air conditioner compressor frequency control value based on the local measurement frequency deviation correction value and the corresponding air conditioner compressor frequency adjustment range.

[0134] The load control module 5 is used to control the load of the corresponding inverter air conditioner according to the frequency control value of the air conditioner compressor.

[0135] Specific limitations regarding the uncertainty error handling system for variable frequency air conditioner load regulation can be found in the limitations of the uncertainty error handling method for variable frequency air conditioner load regulation described above; the corresponding technical effects are equivalent and will not be repeated here. Each module in the aforementioned uncertainty error handling system for variable frequency air conditioner load regulation can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0136] Figure 9 An internal structural diagram of a computer device is shown in one embodiment. This computer device may specifically be a terminal or a server. Figure 9 As shown, the computer device includes a processor, memory, network interface, display, camera, and input device connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface is used to communicate with external terminals via a network connection. When the computer program is executed by the processor, it implements an uncertainty error handling method for variable frequency air conditioning load regulation. The display screen can be an LCD screen or an e-ink display screen. The input device can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device casing, or an external keyboard, touchpad, or mouse.

[0137] Those skilled in the art will understand that Figure 9 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computing devices may include more or fewer components than those shown in the figure, or combine certain components, or have the same component arrangement.

[0138] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method described above.

[0139] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method.

[0140] In summary, the uncertainty error handling method and system for variable frequency air conditioner load regulation provided by this invention involves: pre-constructing a room temperature-air conditioner power relationship model; obtaining the air conditioner power adjustment range of each variable frequency air conditioner in the variable frequency air conditioner cluster based on the model; obtaining the corresponding air conditioner compressor frequency adjustment range based on the air conditioner power adjustment range; acquiring the local measured frequency deviation of each variable frequency air conditioner; correcting the local measured frequency deviation using a time backtracking method to obtain the corresponding local measured frequency deviation correction value; and adjusting the air conditioner compressor frequency based on each local measured frequency deviation correction value and the corresponding air conditioner compressor frequency. This method determines the frequency adjustment range of a single air conditioner by establishing a nonlinear relationship between room temperature and the operating power of the air conditioner compressor. It then uses a time-backtracking method to correct the local measurement frequency deviation of the terminal controller based on the normal distribution relationship of the local measurement frequency error, thereby uniformly regulating the variable frequency load in the power system. This effectively addresses the uncertainty errors in the regulation of continuously adjustable loads such as variable frequency air conditioners, significantly improving the convergence speed of load regulation while avoiding overshoot risks during the regulation process, thus providing a reliable guarantee for the stability of power system dispatch.

[0141] The various embodiments in this specification are described in a progressive manner. For directly identical or similar parts of the embodiments, refer to each other. Each embodiment focuses on its differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments. It should be noted that the technical features of the above embodiments can be combined arbitrarily. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as the combination of these technical features does not contradict each other, it should be considered within the scope of this specification.

[0142] The embodiments described above are merely preferred embodiments of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various improvements and substitutions without departing from the technical principles of this invention, and these improvements and substitutions should also be considered within the scope of protection of this application. Therefore, the scope of protection of this patent application should be determined by the scope of the claims.

Claims

1. A method for handling uncertainty errors in variable frequency air conditioner load regulation, characterized in that, The method includes the following steps: Pre-build a model showing the relationship between room temperature and air conditioning power; Based on the room temperature and air conditioning power relationship model, the air conditioning power adjustment range of each variable frequency air conditioner in the variable frequency air conditioning cluster is obtained, and based on the air conditioning power adjustment range, the corresponding air conditioning compressor frequency adjustment range is obtained. The local measurement frequency deviation of each inverter air conditioner is obtained, and the error of the local measurement frequency deviation is corrected by the time backtracking method to obtain the corresponding local measurement frequency deviation correction value; the time backtracking method is to iteratively update the error expectation and error variance of the local measurement error distribution, and correct the error of the local measurement frequency deviation according to the error expectation. Based on the local measurement frequency deviation correction values ​​and the corresponding air conditioner compressor frequency adjustment range, the corresponding air conditioner compressor frequency control value is obtained; Based on the air conditioner compressor frequency control value, the load of the corresponding inverter air conditioner is adjusted.

2. The uncertainty error handling method for variable frequency air conditioner load regulation as described in claim 1, characterized in that, The steps of pre-constructing the room temperature-air conditioning power relationship model include: A room temperature change model is constructed based on a first-order equivalent thermal parameter model. Discretize the room temperature change model to obtain a discrete room temperature model; A frequency relationship model for air conditioning cooling capacity is obtained through nonlinear fitting; Based on the air conditioning cooling capacity frequency relationship model and the room temperature discrete model, the room temperature air conditioning power relationship model is obtained.

3. The uncertainty error handling method for variable frequency air conditioner load regulation as described in claim 2, characterized in that, The steps of obtaining the air conditioning power adjustment range of each inverter air conditioner in the inverter air conditioning cluster based on the room temperature-air conditioning power relationship model, and obtaining the corresponding air conditioning compressor frequency adjustment range based on the air conditioning power adjustment range, include: Based on the room temperature and air conditioning power relationship model and the preset indoor temperature variation range, the corresponding air conditioning power adjustment range is obtained by solving. Obtain the power consumption and compressor operating frequency relationship model for each inverter air conditioner, and based on the power consumption and compressor operating frequency relationship model and the air conditioner power adjustment range, obtain the corresponding air conditioner compressor frequency adjustment range.

4. The uncertainty error handling method for variable frequency air conditioner load regulation as described in claim 3, characterized in that, The step of obtaining the local measurement frequency deviation of each inverter air conditioner includes: The corresponding local measurement frequency is obtained through the terminal controller of each variable frequency air conditioner, and the corresponding local measurement frequency deviation is obtained based on the current local measurement frequency and the rated frequency of the power system. The current power system frequency monitoring value is obtained through a synchronous phasor measurement device, and the corresponding power system monitoring frequency deviation is obtained based on the current power system frequency monitoring value and the rated frequency of the power system. Based on the power system monitoring frequency deviation and the local measurement frequency deviation of each variable frequency air conditioner, the corresponding local measurement error is obtained.

5. The uncertainty error handling method for variable frequency air conditioner load regulation as described in claim 4, characterized in that, The step of correcting the local measurement frequency deviation using a time backtracking method to obtain the corresponding local measurement frequency deviation correction value includes: The expected value and variance of the local measurement error are iteratively solved by using the minimum variance unbiased estimation, which assumes that the local measurement error follows a normal error distribution. Based on the expected error of the normal error distribution, the local measurement frequency deviation is corrected to obtain the corresponding local measurement frequency deviation correction value.

6. The uncertainty error handling method for variable frequency air conditioner load regulation as described in claim 5, characterized in that, The step of obtaining the corresponding air conditioner compressor frequency control value based on each local measured frequency deviation correction value and the corresponding air conditioner compressor frequency adjustment range includes: When the local measurement frequency deviation correction value is less than the lower limit of the preset local measurement frequency deviation range, the current compressor operating frequency is obtained and the current compressor operating frequency is used as the air conditioner compressor frequency control value. When the local measurement frequency deviation correction value is greater than the upper limit of the preset local measurement frequency deviation range, the minimum compressor frequency in the air conditioner compressor frequency adjustment range is obtained, and the minimum compressor frequency is used as the air conditioner compressor frequency control value. When the local measurement frequency deviation correction value is within the preset local measurement frequency deviation range, the compressor operating frequency correction value is obtained based on the local measurement frequency deviation correction value and the preset local measurement frequency deviation range, and the compressor operating frequency correction value is used as the air conditioner compressor frequency control value.

7. The uncertainty error handling method for variable frequency air conditioner load regulation as described in claim 6, characterized in that, The frequency control value of the air conditioner compressor is expressed as follows: in, This represents the frequency control value of the air conditioner compressor for the j-th variable frequency air conditioner at time t; This represents the current compressor operating frequency before the j-th variable frequency air conditioner control at time t; This represents the local measurement frequency deviation correction value for the j-th variable frequency air conditioner at time t; and This indicates the lower and upper limits of the preset local measurement frequency deviation range. This represents the minimum compressor frequency within the frequency adjustment range of the j-th inverter air conditioner.

8. A system for handling uncertainty errors in variable frequency air conditioner load regulation, characterized in that, The system includes: The model building module is used to pre-build a model of the relationship between room temperature and air conditioning power. The frequency range module is used to obtain the air conditioning power adjustment range of each variable frequency air conditioner in the variable frequency air conditioning cluster according to the room temperature air conditioning power relationship model, and to obtain the corresponding air conditioning compressor frequency adjustment range according to the air conditioning power adjustment range. An error correction module is used to obtain the local measurement frequency deviation of each variable frequency air conditioner, and to correct the local measurement frequency deviation by means of a time backtracking method to obtain the corresponding local measurement frequency deviation correction value; the time backtracking method is to iteratively update the error expectation and error variance of the local measurement error distribution, and to correct the local measurement frequency deviation according to the error expectation. The control value generation module is used to obtain the corresponding air conditioner compressor frequency control value based on the local measured frequency deviation correction value and the corresponding air conditioner compressor frequency adjustment range; The load control module is used to control the load of the corresponding inverter air conditioner according to the frequency control value of the air conditioner compressor.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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