Power quality control method and system during temperature rise test based on optimization algorithm

Abstract

The present invention discloses a method and system for controlling power quality during a temperature rise test based on an optimization algorithm, including: establishing a power quality control model; collecting operating data of a test power supply and a transformer; using a fast Fourier transform algorithm to perform spectrum analysis on the preprocessed operating data to obtain harmonic distortion rate, and calculating power factor based on the preprocessed operating data; using an optimization algorithm to minimize harmonic distortion rate and maximize power factor as the goal, optimizing and solving to obtain the optimal solution of the operating parameters of the test power supply, and controlling the test power supply based on the optimal solution of the operating parameters; if the change of the transformer operating data is less than a preset fluctuation value, the operating parameters are corrected based on a preset coefficient, otherwise the optimization algorithm is reused to correct the operating parameters. The present invention not only ensures the stability of power quality, but also achieves the dual advantages of fast response and precise control.

Description

Technical Field

[0001] The present invention relates to the field of power control, and in particular to a method and system for controlling power quality during a temperature rise test based on an optimization algorithm. Background Art

[0002] The temperature rise test of distribution transformers usually requires several hours of high-power heating time. If the test power supply is applied by means of a voltage regulator, the required power supply capacity needs to be no less than 75kVA, and the power factor is generally lower than 0.3 (inductive load) according to the capacity of the transformer under test of 1000kVA; and the conventional variable frequency power supply usually has 20% higher current harmonics. It can be seen that if the above two common test methods are used to carry out large-scale testing, the power quality of the public power grid will be seriously affected. At the same time, the power supply for the temperature rise test of the distribution transformer needs to be able to respond quickly to load changes during the test, such as sudden loading or unloading, to maintain the stability of the output parameters. In addition, the test process may involve complex parameter settings and real-time monitoring, so the power supply control needs to have automatic control capabilities.

[0003] However, in the prior art, there is an obvious contradiction between the above requirements. Even if the impact on the power quality of the public power grid is reduced through complex means, it is difficult to meet the demand for rapid response. Therefore, how to improve the power quality control on the power supply side of the test device in the temperature rise test of the distribution transformer while maintaining a sufficiently fast real-time response is a technical problem that is difficult to solve at present. Summary of the invention

[0004] In view of the problem in the prior art that it is difficult to maintain a sufficiently fast real-time response while ensuring the power quality, the present invention provides a power quality control method and system for a temperature rise test process based on an optimization algorithm, which quantifies the power quality by harmonic distortion rate and power factor, and calculates the optimal solution based on the optimization algorithm, thereby ensuring the power quality. At the same time, based on a two-stage correction method, a preset coefficient is preferentially used for correction to ensure the response speed, and the correction is immediately replaced after the optimization algorithm is executed, thereby ensuring the power quality while maintaining a sufficiently fast real-time response.

[0005] The following is the technical solution of the present invention.

[0006] The power quality control method of the temperature rise test process based on the optimization algorithm includes the following steps:

[0007] S1: Establish a power quality control model, establish the objective function of harmonic distortion rate and power factor and set constraints;

[0008] S2: Collect the operating data of the test power supply and transformer, and perform preprocessing;

[0009] S3: Use the fast Fourier transform algorithm to perform spectrum analysis on the pre-processed operating data, calculate the amplitude and phase information of each harmonic to obtain the harmonic distortion rate, and calculate the power factor based on the pre-processed operating data;

[0010] S4: Using the optimization algorithm, with the goal of minimizing the harmonic distortion rate and maximizing the power factor, an optimization solution is performed to obtain the optimal solution of the operating parameters of the test power supply, and the test power supply is controlled based on the optimal solution of the operating parameters;

[0011] S5: If the change of the transformer operating data is less than the preset fluctuation value, the operating parameters are corrected based on the preset coefficients, otherwise the operating parameters are corrected again using the optimization algorithm.

[0012] In the present invention, mathematical modeling, spectrum analysis, optimization algorithm and dynamic correction strategy are comprehensively used to achieve effective control and continuous optimization of power quality during temperature rise test. Among them, a flexible two-stage correction mechanism is used. When the transformer operation data fluctuates slightly, the operation parameters are quickly adjusted by preset coefficients to ensure the response speed; when the fluctuation is large, the optimization algorithm is re-enabled for fine correction, which not only ensures the stability of power quality, but also achieves the dual advantages of fast response and precise control. It not only improves the power quality control capability, but also enhances the stability and response speed of the system.

[0013] Preferably, the S1: establishing a power quality control model, establishing an objective function on harmonic distortion rate and power factor and setting constraints, includes:

[0014] The objective function is defined based on the harmonic distortion rate and power factor. The formula of the objective function F is:

[0015] ;

[0016] Among them, THD is the harmonic distortion rate, PF is the power factor, α is the weight coefficient of the harmonic distortion rate, and β is the weight coefficient of the power factor, which is used to balance the importance of the two optimization objectives;

[0017] According to the actual situation of the temperature rise test, the output voltage range, output current limit and power balance are determined as constraints.

[0018] Preferably, S3: using a fast Fourier transform algorithm to perform spectrum analysis on the preprocessed operating data, calculating the amplitude and phase information of each harmonic to obtain the harmonic distortion rate, and calculating the power factor based on the preprocessed operating data, including:

[0019] The fast Fourier transform algorithm is used to perform spectrum analysis on the voltage or current signal in the preprocessed operation data to obtain the amplitude and phase information of the fundamental wave and each harmonic, and the ratio of the harmonic content to the fundamental wave content in the signal is calculated and quantified to obtain the harmonic distortion rate;

[0020] The pre-processed operating data is used to calculate the ratio of active power to apparent power to obtain the power factor.

[0021] Preferably, the calculation method of the harmonic distortion rate includes:

[0022] ;

[0023] Where THD is the harmonic distortion rate, is the amplitude of the fundamental voltage or current, is the amplitude of the nth harmonic (n ≥ 2), and N is the upper limit of the harmonic order considered.

[0024] Preferably, S4: using an optimization algorithm to minimize harmonic distortion and maximize power factor as the goal, optimizing and solving, obtaining an optimal solution for the operating parameters of the test power supply, and controlling the test power supply based on the optimal solution for the operating parameters, including:

[0025] Genetic algorithm is used to minimize harmonic distortion rate and maximize power factor. The fitness calculation formula is generated according to the objective function. Each individual represents a set of operating parameters of the test power supply. Several individuals are generated based on the constraint conditions. The fitness value of each individual is calculated according to the fitness calculation formula. The iterative process is repeated until the optimal solution is converged or the preset number of iterations is reached.

[0026] The operating parameters of the test power source corresponding to the individual with the highest fitness value are used as the optimal solution of the operating parameters to control the test power source.

[0027] Preferably, the fitness calculation formula includes:

[0028] ;

[0029] Among them, Fitness is the fitness value, T is a constant, and when the harmonic distortion rate is smaller and the power factor is larger, the fitness value is higher.

[0030] Preferably, the step S5: if the change in transformer operation data is less than a preset fluctuation value, the operation parameters are corrected based on a preset coefficient, otherwise the operation parameters are corrected again using the optimization algorithm, including:

[0031] Preset a preset fluctuation value that reflects the change of transformer operation data according to historical data, and the preset fluctuation value is a percentage value;

[0032] Pre-calculate and store preset coefficients based on historical data and transformer characteristics, the preset coefficients including voltage adjustment coefficients and current adjustment coefficients;

[0033] If the transformer operating data changes within the preset fluctuation value, the operating parameters are corrected based on the preset coefficient;

[0034] Otherwise, the optimization algorithm is re-executed while the operating parameters are corrected based on the preset coefficients. After the optimization algorithm is executed, the operating parameters are corrected again based on the execution results of the optimization algorithm.

[0035] The present invention also provides a power quality control system for a temperature rise test process based on an optimization algorithm, which is used to execute the above-mentioned power quality control method for a temperature rise test process based on an optimization algorithm, comprising:

[0036] The test power supply module uses a three-phase variable frequency power supply to adjust the voltage, current and frequency based on the control signal;

[0037] Power quality monitoring module collects voltage and current waveforms in real time, and performs harmonic analysis and power factor calculation;

[0038] The intelligent control module outputs a control signal to the test power supply module based on the analysis and calculation results of the power quality monitoring module to control the operating parameters.

[0039] The present invention also provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor calls the computer program in the memory, the steps of the above-mentioned method for controlling power quality during a temperature rise test based on an optimization algorithm are implemented.

[0040] The present invention also provides a storage medium, in which computer executable instructions are stored. When the computer executable instructions are loaded and executed by a processor, the steps of the power quality control method in the temperature rise test process based on the optimization algorithm are implemented.

[0041] The substantial effects of the present invention include:

[0042] The objective function of power quality control is precisely defined through mathematical modeling. Harmonic distortion rate and power factor are taken as core optimization indicators, and constraints are set to ensure the feasibility and effectiveness of the optimization process, improve the accuracy of power quality assessment, and lay the foundation for subsequent optimization work.

[0043] Secondly, the present invention uses a combination of fast Fourier transform algorithm, optimization algorithm and dynamic correction strategy to achieve refined control of power quality. The harmonic distortion rate is accurately calculated through spectrum analysis, and combined with power factor calculation, accurate data is provided for the optimization algorithm. The application of optimization algorithm, especially the introduction of genetic algorithm, enables the optimal solution to be found quickly under complex constraints, thereby achieving precise control of the operating parameters of the test power supply.

[0044] In addition, the present invention also designs a flexible two-stage correction mechanism, which intelligently selects preset coefficient correction or re-executes the optimization algorithm according to the changes in transformer operating data, which not only ensures the stability of power quality, but also achieves the dual advantages of fast response and precise control. This mechanism significantly improves the adaptability and robustness of the system, ensuring good power quality under different working conditions.

[0045] In summary, the power quality control method and system for the temperature rise test process based on the optimization algorithm of the present invention realizes the effective control and continuous optimization of power quality through precise mathematical modeling, advanced algorithm application and intelligent control strategy, which not only improves the power quality, but also enhances the stability and response speed of the system, and solves the problems existing in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 is a flow chart of an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution will be clearly and completely described below in combination with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] It should be understood that in various embodiments of the present invention, the size of the sequence number of each process does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0049] It should be understood that in the present invention, "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0050] It should be understood that in the present invention, "plurality" refers to two or more than two. "And / or" is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "Contains A, B and C", "Contains A, B, C" means that A, B, and C are all included, "Contains A, B or C" means that one of A, B, and C is included, and "Contains A, B and / or C" means that any one, any two, or any three of A, B, and C are included.

[0051] The technical solution of the present invention is described in detail with specific embodiments below. The embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0052] Example:

[0053] like Figure 1 The power quality control method of the temperature rise test process based on the optimization algorithm is shown, which includes the following steps:

[0054] S1: Establish a power quality control model, establish the objective function of harmonic distortion rate and power factor and set constraints, including:

[0055] The objective function is defined based on the harmonic distortion rate and power factor. The formula of the objective function F is:

[0056] ;

[0057] Among them, THD is the harmonic distortion rate, PF is the power factor, α is the weight coefficient of the harmonic distortion rate, and β is the weight coefficient of the power factor, which is used to balance the importance of the two optimization objectives;

[0058] According to the actual situation of the temperature rise test, the output voltage range, output current limit and power balance are determined as constraints.

[0059] Among them, in the modeling process, it is necessary to collect and determine the electrical parameters of each component, such as the rated power, output voltage range, frequency adjustment range, etc. of the test power supply; the rated capacity, winding resistance, inductance, etc. of the transformer; the impedance characteristics of the load, etc. For example, the rated power of the test power supply used is 100kVA, the output voltage range is 0-600V, and the frequency adjustment range is 0.1Hz-150Hz. The rated capacity of the distribution transformer is 1000kVA, the high and low voltage winding resistances are R1 and R2 respectively, and the inductances are L1 and L2 respectively. The load uses an adjustable resistor box, and its resistance range can be adjusted according to the test requirements.

[0060] After the system modeling is completed, some initial parameters need to be set, including objective function, constraints, optimization variables, etc. In this embodiment, the objective function is mainly set based on minimizing harmonic distortion (THD) and improving power factor (PF), while the constraints include output voltage range, output current limit, power balance, etc.

[0061] S2: Collect the operating data of the test power supply and transformer, and perform preprocessing.

[0062] In this embodiment, it is necessary to collect real-time operating data of the test power supply and distribution transformer, including voltage, current, power factor, harmonic content, etc. These data will be acquired in real time through sensors, and preliminary filtering and denoising will be performed to improve data quality. For example, during the data collection process, we can use high-precision voltage and current sensors to monitor the output voltage and current of the test power supply.

[0063] S3: Use the fast Fourier transform algorithm to perform spectrum analysis on the pre-processed operating data, calculate the amplitude and phase information of each harmonic to obtain the harmonic distortion rate, and calculate the power factor based on the pre-processed operating data, including:

[0064] The fast Fourier transform algorithm is used to perform spectrum analysis on the voltage or current signal in the preprocessed operation data to obtain the amplitude and phase information of the fundamental wave and each harmonic, and the ratio of the harmonic content to the fundamental wave content in the signal is calculated and quantified to obtain the harmonic distortion rate;

[0065] The pre-processed operating data is used to calculate the ratio of active power to apparent power to obtain the power factor.

[0066] Preferably, the calculation method of the harmonic distortion rate includes:

[0067] ;

[0068] Where THD is the harmonic distortion rate, is the amplitude of the fundamental voltage or current, is the amplitude of the nth harmonic (n ≥ 2), and N is the upper limit of the harmonic order considered.

[0069] After data acquisition and preprocessing, the harmonic content and power factor of the test power supply need to be analyzed in detail. Harmonic analysis can be achieved through FFT (Fast Fourier Transformation Algorithm) to obtain the amplitude and phase information of each harmonic. Power factor evaluation can be obtained by calculating the ratio of active power to apparent power.

[0070] For example: Assume that the fundamental amplitude of the test power supply output voltage obtained through FFT analysis is V0, and the amplitudes of the 3rd, 5th and 7th harmonics are V3, V5 and V7 respectively. According to the definition of power factor, we can calculate the current power factor PF = P / S, where P is active power and S is apparent power. By adjusting the output voltage and current waveforms of the test power supply, we can observe the changing trends of harmonic content and power factor.

[0071] S4: Using the optimization algorithm, with the goal of minimizing the harmonic distortion rate and maximizing the power factor, the optimization solution is performed to obtain the optimal solution of the operating parameters of the test power supply, and the test power supply is controlled based on the optimal solution of the operating parameters, including:

[0072] Genetic algorithm is used to minimize harmonic distortion rate and maximize power factor. The fitness calculation formula is generated according to the objective function. Each individual represents a set of operating parameters of the test power supply. Several individuals are generated based on the constraint conditions. The fitness value of each individual is calculated according to the fitness calculation formula. The iterative process is repeated until the optimal solution is converged or the preset number of iterations is reached.

[0073] The operating parameters of the test power source corresponding to the individual with the highest fitness value are used as the optimal solution of the operating parameters to control the test power source.

[0074] The fitness calculation formula includes:

[0075] ;

[0076] Among them, Fitness is the fitness value, T is a constant, and when the harmonic distortion rate is smaller and the power factor is larger, the fitness value is higher.

[0077] It should be noted that the optimization algorithm can be a genetic algorithm, a particle swarm optimization algorithm, a gradient descent method, etc. The goal of the algorithm is to minimize the harmonic distortion rate and maximize the power factor while satisfying the constraints. This embodiment adopts a genetic algorithm. Among them, each individual represents a set of operating parameters of the test power supply, such as output voltage amplitude, phase, frequency, etc., and a new population individual is generated through operations such as selection, crossover, and mutation, and the iterative process is repeated until it converges to the optimal solution or reaches a preset number of iterations. The fitness value of the individuals in the population gradually increases, the harmonic distortion rate gradually decreases, and the power factor gradually increases. When the algorithm converges to the optimal solution, a set of optimal test power supply operating parameters is obtained.

[0078] S5: If the change of transformer operation data is less than the preset fluctuation value, the operation parameters are corrected based on the preset coefficients, otherwise the operation parameters are corrected again using the optimization algorithm, including:

[0079] Preset a preset fluctuation value that reflects the change of transformer operation data according to historical data, and the preset fluctuation value is a percentage value;

[0080] Pre-calculate and store preset coefficients based on historical data and transformer characteristics, the preset coefficients including voltage adjustment coefficients and current adjustment coefficients;

[0081] If the transformer operating data changes within the preset fluctuation value, the operating parameters are corrected based on the preset coefficient;

[0082] Otherwise, the optimization algorithm is re-executed while the operating parameters are corrected based on the preset coefficients. After the optimization algorithm is executed, the operating parameters are corrected again based on the execution results of the optimization algorithm.

[0083] For example, based on historical operating data, the operation and maintenance team found that the voltage and current fluctuations of the transformer usually did not exceed 5% during normal operation. Therefore, the preset fluctuation value was set to 5%. Then, based on historical data and the physical characteristics of the transformer, the voltage adjustment factor and current adjustment factor were calculated and stored. For example, for voltage, if the transformer input voltage rises by 1%, the output voltage may need to be adjusted down accordingly through the adjustment factor (assuming it is 0.95) to keep the output voltage stable. There are similar adjustment factors for current.

[0084] If the operating data of the transformer changes by more than 5% of the preset fluctuation value, then relying solely on the preset coefficient for correction may not be sufficient to maintain the optimal operating state of the transformer. In this case, while making a preliminary correction based on the preset coefficient, the method of this embodiment will immediately start the optimization algorithm. The optimization algorithm may consider more variables to calculate a more accurate operating parameter correction value. Once the optimization algorithm is executed, the operating parameters of the transformer will be finally corrected according to the results of the algorithm to maintain better power quality and faster response speed.

[0085] In this embodiment, mathematical modeling, spectrum analysis, optimization algorithm and dynamic correction strategy are comprehensively used to achieve effective control and continuous optimization of power quality during the temperature rise test. Among them, a flexible two-stage correction mechanism is used. When the transformer operation data fluctuates slightly, the operation parameters are quickly adjusted through the preset coefficient to ensure the response speed; when the fluctuation is large, the optimization algorithm is re-enabled for fine correction, which not only ensures the stability of power quality, but also achieves the dual advantages of fast response and precise control. It not only improves the power quality control capability, but also enhances the stability and response speed of the system.

[0086] In addition, this embodiment also provides a power quality control system for a temperature rise test process based on an optimization algorithm, which is used to execute the above-mentioned power quality control method for a temperature rise test process based on an optimization algorithm, including:

[0087] The test power supply module uses a three-phase variable frequency power supply to adjust the voltage, current and frequency based on the control signal;

[0088] Power quality monitoring module collects voltage and current waveforms in real time, and performs harmonic analysis and power factor calculation;

[0089] The intelligent control module outputs a control signal to the test power supply module based on the analysis and calculation results of the power quality monitoring module to control the operating parameters.

[0090] In this embodiment, the power factor correction (PFC) rectifier of the test power module is implemented using a three-phase Vienna PFC structure, and high-efficiency, high-power factor power input is achieved through digital closed-loop control of the input voltage and current, thereby reducing the impact of the high-power power input end on the power supply end.

[0091] The main design parameters of ViennaPFC are as follows:

[0092] Mains input voltage range: 342~418VAC, three-phase without neutral line;

[0093] AC input frequency range: 45~55Hz;

[0094] Output voltage range: 800V;

[0095] Maximum output power: 20.5kW;

[0096] Full load power factor: ≥0.98.

[0097] When selecting the switch tube and rectifier diode of the test power module, the voltage and current stresses need to be calculated first. According to the topological characteristics of the Vienna PFC rectifier, the reverse voltage that the switch tube bears when it is turned off is half of the DC bus voltage, that is, 400V. When the three-phase AC voltage is minimum, calculate the maximum AC current. Calculate the effective value and average value of the current flowing through the rectifier diode, and the effective value and average value of the current flowing through the IGBT respectively. The calculation results are shown in Table 1:

[0098] Table 1 Current values ​​in rectifier diodes and IGBTs

[0099]

[0100] The maximum reverse voltage that the rectifier diode of the rectifier can withstand is the DC bus voltage, that is, 800V. Considering a 1.5-fold margin, APT60D120B is selected. The maximum reverse voltage capability of this diode is 1200V, and it can pass an average forward current of 60A, which can meet the design requirements. The bidirectional switch tube between the AC bridge arm of the rectifier and the midpoint of the DC bus is composed of 4 IGBTs with anti-parallel diodes. Considering a certain safety margin, Infineon's IKW75N65EH5 is actually selected as the switching device. This IGBT has a breakdown voltage of 650V and has excellent efficiency. The parallel structure can meet the current requirements of the bidirectional switch tube.

[0101] This embodiment also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor calls the computer program in the memory, the steps of the above-mentioned method for controlling power quality during a temperature rise test based on an optimization algorithm are implemented.

[0102] This embodiment also provides a storage medium, in which computer executable instructions are stored. When the computer executable instructions are loaded and executed by a processor, the steps of the power quality control method during the temperature rise test based on the optimization algorithm are implemented.

[0103] In summary, the substantial effects of this embodiment include:

[0104] The objective function of power quality control is precisely defined through mathematical modeling. Harmonic distortion rate and power factor are taken as core optimization indicators, and constraints are set to ensure the feasibility and effectiveness of the optimization process, improve the accuracy of power quality assessment, and lay the foundation for subsequent optimization work.

[0105] Secondly, this embodiment uses a combination of fast Fourier transform algorithm, optimization algorithm and dynamic correction strategy to achieve refined control of power quality. The harmonic distortion rate is accurately calculated through spectrum analysis, and combined with power factor calculation, accurate data is provided for the optimization algorithm. The application of optimization algorithm, especially the introduction of genetic algorithm, enables the optimal solution to be found quickly under complex constraints, thereby achieving precise control of the operating parameters of the test power supply.

[0106] In addition, this embodiment also designs a flexible two-stage correction mechanism, which intelligently selects the preset coefficient correction or re-executes the optimization algorithm according to the changes in the transformer operation data, which not only ensures the stability of the power quality, but also achieves the dual advantages of fast response and precise control. This mechanism significantly improves the adaptability and robustness of the system, ensuring that good power quality can be maintained under different working conditions.

[0107] Therefore, the power quality control method and system of the temperature rise test process based on the optimization algorithm in this embodiment realizes the effective control and continuous optimization of power quality through precise mathematical modeling, advanced algorithm application and intelligent control strategy, which not only improves the power quality, but also enhances the stability and response speed of the system, and solves the problems existing in the prior art.

[0108] Through the description of the above implementation methods, technical personnel in the relevant field can understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the specific device can be divided into different functional modules to complete all or part of the functions described above.

[0109] In the embodiments provided in the present application, it should be understood that the disclosed structures and methods can be implemented in other ways. For example, the embodiments of the structure described above are only schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another structure, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, structures or units, which can be electrical, mechanical or other forms.

[0110] The units described as separate components may or may not be physically separated, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0111] In addition, each functional unit in the embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0112] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium, including several instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0113] The above contents are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for controlling power quality during a temperature rise test based on an optimization algorithm, characterized in that: The following steps are involved: S1: Establish a power quality control model, establish the objective function of harmonic distortion rate and power factor and set constraints; S2: Collect the operating data of the test power supply and transformer, and perform preprocessing; S3: Use the fast Fourier transform algorithm to perform spectrum analysis on the pre-processed operating data, calculate the amplitude and phase information of each harmonic to obtain the harmonic distortion rate, and calculate the power factor based on the pre-processed operating data; S4: Using the optimization algorithm, with the goal of minimizing the harmonic distortion rate and maximizing the power factor, an optimization solution is performed to obtain the optimal solution of the operating parameters of the test power supply, and the test power supply is controlled based on the optimal solution of the operating parameters; S5: If the change of transformer operation data is less than the preset fluctuation value, the operation parameters are corrected based on the preset coefficient, otherwise the operation parameters are corrected again using the optimization algorithm; S5: if the change of transformer operation data is less than the preset fluctuation value, the operation parameters are corrected based on the preset coefficient, otherwise the operation parameters are corrected again using the optimization algorithm, including: Preset a preset fluctuation value that reflects the change of transformer operation data according to historical data, and the preset fluctuation value is a percentage value; Pre-calculate and store preset coefficients based on historical data and transformer characteristics, the preset coefficients including voltage adjustment coefficients and current adjustment coefficients; If the transformer operating data changes within the preset fluctuation value, the operating parameters are corrected based on the preset coefficient; Otherwise, the optimization algorithm is re-executed while the operating parameters are corrected based on the preset coefficients. After the optimization algorithm is executed, the operating parameters are corrected again based on the execution results of the optimization algorithm.

2. The power quality control method during the temperature rise test based on the optimization algorithm according to claim 1 is characterized in that: S1: Establishing a power quality control model, establishing an objective function on harmonic distortion rate and power factor and setting constraints, including: The objective function is defined based on the harmonic distortion rate and power factor. The formula of the objective function F is: ； Among them, THD is the harmonic distortion rate, PF is the power factor, α is the weight coefficient of the harmonic distortion rate, and β is the weight coefficient of the power factor, which is used to balance the importance of the two optimization objectives; According to the actual situation of the temperature rise test, the output voltage range, output current limit and power balance are determined as constraints.

3. The power quality control method during temperature rise test based on optimization algorithm according to claim 1 is characterized in that: S3: using a fast Fourier transform algorithm to perform spectrum analysis on the pre-processed operating data, calculating the amplitude and phase information of each harmonic to obtain the harmonic distortion rate, and calculating the power factor based on the pre-processed operating data, including: The fast Fourier transform algorithm is used to perform spectrum analysis on the voltage or current signal in the preprocessed operation data to obtain the amplitude and phase information of the fundamental wave and each harmonic, and the ratio of the harmonic content to the fundamental wave content in the signal is calculated and quantified to obtain the harmonic distortion rate; The pre-processed operating data is used to calculate the ratio of active power to apparent power to obtain the power factor.

4. The power quality control method during the temperature rise test based on the optimization algorithm according to claim 3 is characterized in that: The calculation method of the harmonic distortion rate includes: ； Where THD is the harmonic distortion rate, is the amplitude of the fundamental voltage or current, is the amplitude of the nth harmonic (n ≥ 2), and N is the upper limit of the harmonic order considered.

5. The power quality control method during temperature rise test based on optimization algorithm according to claim 2 is characterized in that: S4: using an optimization algorithm to minimize harmonic distortion and maximize power factor as the goal, performing optimization and solving, obtaining an optimal solution for the operating parameters of the test power supply, and controlling the test power supply based on the optimal solution for the operating parameters, including: Genetic algorithm is used to minimize harmonic distortion rate and maximize power factor. The fitness calculation formula is generated according to the objective function. Each individual represents a set of operating parameters of the test power supply. Several individuals are generated based on the constraint conditions. The fitness value of each individual is calculated according to the fitness calculation formula. The iterative process is repeated until the optimal solution is converged or the preset number of iterations is reached. The operating parameters of the test power source corresponding to the individual with the highest fitness value are used as the optimal solution of the operating parameters to control the test power source.

6. The power quality control method during temperature rise test based on optimization algorithm according to claim 5 is characterized in that: The fitness calculation formula includes: ； Among them, Fitness is the fitness value, T is a constant, and when the harmonic distortion rate is smaller and the power factor is larger, the fitness value is higher.

7. A power quality control system for a temperature rise test process based on an optimization algorithm, used to execute a power quality control method for a temperature rise test process based on an optimization algorithm as claimed in any one of claims 1 to 6, characterized in that: include: The test power supply module uses a three-phase variable frequency power supply to adjust the voltage, current and frequency based on the control signal; Power quality monitoring module collects voltage and current waveforms in real time, and performs harmonic analysis and power factor calculation; The intelligent control module outputs a control signal to the test power supply module based on the analysis and calculation results of the power quality monitoring module to control the operating parameters.

8. An electronic device, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program, and when the processor calls the computer program in the memory, the steps of the method for controlling power quality during a temperature rise test based on an optimization algorithm as claimed in any one of claims 1 to 6 are implemented.

9. A storage medium, characterized in that: The storage medium stores computer executable instructions, and when the computer executable instructions are loaded and executed by the processor, the steps of the power quality control method for the temperature rise test process based on the optimization algorithm as described in any one of claims 1 to 6 are implemented.

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