Three-phase load unbalance automatic adjusting device and method

Abstract

The invention discloses a three-phase load imbalance automatic adjusting device and method, and relates to the technical field of electric power automation control, and the method comprises the steps: collecting and preprocessing multi-dimensional data, extracting key feature parameters based on the multi-dimensional data, and uploading the key feature parameters to a main controller, the multi-dimensional data comprising load current, three-phase voltage, power factor and temperature; the regulation and control strategy is executed, optimization is carried out in combination with local real-time data, and an optimal regulation and control strategy is generated; switching operation of a phase-change switch is carried out according to the optimal regulation and control strategy, voltage and current waveforms are monitored at the same time, and running state data are generated and fed back to the main controller; and analyzing the operation state data, recording and generating feedback data according to an analysis result, and transmitting the feedback data back to the main controller to optimize a regulation and control strategy. According to the invention, through effective integration and modeling of the multi-dimensional data, the model prediction accuracy is improved, the calculation complexity is reduced, and the adaptability of the power grid to different scenes is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of power automation control, and particularly to a three-phase load imbalance automatic regulation device and method. Background Art

[0002] With the continuous expansion of the scale of the power grid and the rapid growth of distributed energy and loads, the three-phase load imbalance problem has gradually become an important factor affecting the operation efficiency and power quality of the power grid. The three-phase load imbalance will not only cause equipment overheating and increased line losses, but also reduce the reliability and stability of the power supply network. With the development of smart grid technology, automatic regulation devices have gradually been introduced. Such devices usually rely on real-time collected data such as current and voltage for analysis and generate regulation strategies through algorithms.

[0003] The existing three-phase load imbalance regulation technologies have improved the operation efficiency of the power grid to a certain extent, but there are still the following deficiencies: First, in the data processing link, traditional methods often only focus on single or a few characteristic parameters, while ignoring the correlation between multi-dimensional data and its impact on the overall load state. This one-sided data processing method may lead to insufficient model prediction accuracy. Second, in the process of generating and executing regulation strategies, the existing technologies lack a closed-loop feedback mechanism and cannot dynamically adjust the regulation strategies according to the actual operation state. Once the load distribution changes significantly or abnormal conditions occur, the power grid may not be able to respond in time, resulting in poor regulation effects or even causing new imbalance problems. Summary of the Invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a three-phase load imbalance automatic regulation method to solve the problems of one-sided data processing and lack of dynamic regulation ability.

[0006] To solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a three-phase load imbalance automatic regulation method, which includes collecting multi-dimensional data and performing preprocessing, extracting key characteristic parameters based on the multi-dimensional data and uploading them to the main controller, where the multi-dimensional data includes load current, three-phase voltage, power factor and temperature; constructing a three-phase load distribution model of the substation area based on the key characteristic parameters, generating a regulation strategy by analyzing the three-phase load state index output by the model; executing the regulation strategy and optimizing it in combination with local real-time data to generate an optimal regulation strategy; performing switching operations of the phase change switch according to the optimal regulation strategy, and simultaneously monitoring the voltage and current waveforms to generate operation state data and feedback it to the main controller; analyzing the operation state data, recording and generating feedback data according to the analysis results, and transmitting the feedback data back to the main controller to optimize the regulation strategy.

[0008] As a preferred embodiment of the three-phase load imbalance automatic adjustment method of the present invention, wherein: the preprocessing includes denoising processing, missing value processing, and data normalization processing.

[0009] As a preferred embodiment of the three-phase load imbalance automatic adjustment method of the present invention, wherein: key feature parameters are extracted from multi-dimensional data and uploaded to the master controller. The specific steps are as follows.

[0010] The local controller extracts the three-phase current imbalance degree by calculating the ratio of the difference between the maximum and minimum values of the three-phase current to the average value.

[0011] The power factor is extracted by measuring the phase difference between the voltage and the current.

[0012] The line loss is extracted by the Joule's law calculation method according to the line current and resistance.

[0013] The key feature parameters are uploaded to the master controller through wireless communication.

[0014] As a preferred embodiment of the three-phase load imbalance automatic adjustment method of the present invention, wherein: the three-phase load distribution model of the substation area is constructed based on the key feature parameters. The specific steps are as follows.

[0015] The master controller organizes the extracted key feature parameters into a unified matrix-form data structure.

[0016] According to the data structure, a three-phase load distribution model of the substation area is constructed to predict the three-phase load state index F(X).

[0017] As a preferred embodiment of the three-phase load imbalance automatic adjustment method of the present invention, wherein: the regulation strategy is generated by analyzing the three-phase load state index output by the model. The specific steps are as follows.

[0018] The master controller defines the load threshold F according to the historical data and the optimization goal.

[0019] When F(X)≥F, it is considered that the three-phase load distribution exceeds the limit, and the time window T base is shortened.

[0020] When F(X)<F, it is considered that the three-phase load distribution is normal, and the current time window T base is maintained.

[0021] Based on the analysis result, the target phase configuration X that minimizes the comprehensive evaluation value F(X) of the three-phase load state is found through the dynamic programming method. * and the switching time window T of each phase-changing switch. base ;

[0022] Based on the target phase configuration X * and the time window T base generate the regulation strategy S.

[0023] As a preferred solution of the three-phase load imbalance automatic regulation method described in the present invention, wherein: execute the regulation strategy, and optimize it in combination with local real-time data to generate the optimal regulation strategy. The specific steps are as follows:

[0024] The phase change switch collects the local three-phase voltage, load current, and power factor in real time;

[0025] Optimize the switching time window T according to the local real-time data base to generate a new time window T new ;

[0026] The optimal regulation strategy includes the target phase configuration X of each phase change switch * and the adjusted time window T new .

[0027] As a preferred solution of the three-phase load imbalance automatic regulation method described in the present invention, wherein: perform the switching operation of the phase change switch according to the optimal regulation strategy, monitor the voltage and current waveforms at the same time, generate the operation state data and feedback it to the master controller, analyze the operation state data, record and generate the feedback data according to the analysis result, and upload the feedback data to the master controller to optimize the regulation strategy. The specific steps are as follows:

[0028] The local controller sends a switching instruction to the phase change switch according to the time window T bew and the target phase configuration X * ;

[0029] Collect the waveform data of voltage and current in real time, monitor the change of each phase current, monitor the amplitude and phase angle of each phase voltage, and monitor the change of power factor to generate the operation state data;

[0030] Upload the operation state data to the master controller through wireless communication. The master controller can readjust the model parameters through the feedback mechanism and start a new round of optimization process;

[0031] Input the three-phase current imbalance degree UIB, line loss P l and power factor Q data before and after the switching phase for comparison, and define a comprehensive evaluation index E;

[0032] Define the threshold T according to the historical data;

[0033] When E≥T, it indicates that the current strategy achieves the expected effect and meets the performance requirements;

[0034] When E < T, it indicates that the current strategy has not achieved the expected effect and needs to be readjusted and optimized;

[0035] Store the analysis results in a structured form, record the effectiveness of the current strategy, record the change values of key feature parameters, record abnormal situations, and organize the analysis results and strategy status into structured feedback data in JSON format, and transmit them to the master controller via wireless communication;

[0036] After receiving the feedback data, the master controller stores it in the central database to form a complete operation record.

[0037] In a second aspect, the present invention provides a three-phase load imbalance automatic adjustment device, including a data acquisition and preprocessing module, a load distribution modeling and strategy generation module, a real-time optimization and execution module, a switching operation and monitoring module, and a feedback analysis and optimization module; the data acquisition and preprocessing module is used to collect multi-dimensional data and perform preprocessing, extract key feature parameters based on the multi-dimensional data and upload them to the master controller, and the multi-dimensional data includes load current, three-phase voltage, power factor, and temperature; the load distribution modeling and strategy generation module is used to construct a three-phase load distribution model of the substation area based on the key feature parameters, and generate a regulation strategy by analyzing the three-phase load status index output by the model; the real-time optimization and execution module is used to execute the regulation strategy and optimize it in combination with local real-time data to generate an optimal regulation strategy; the switching operation and monitoring module is used to perform switching operations of the phase change switch according to the optimal regulation strategy, and at the same time monitor the voltage and current waveforms, and generate operation status data to feedback to the master controller; the feedback analysis and optimization module is used to analyze the operation status data, record and generate feedback data according to the analysis results, and transmit the feedback data back to the master controller to optimize the regulation strategy.

[0038] In a third aspect, the present invention provides a computer device, including a memory and a processor, where the memory stores a computer program, and: when the computer program is executed by the processor, it implements any step of the three-phase load imbalance automatic adjustment method as described in the first aspect of the present invention.

[0039] In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, and: when the computer program is executed by the processor, it implements any step of the three-phase load imbalance automatic adjustment method as described in the first aspect of the present invention.

[0040] The beneficial effects of the present invention are as follows: By constructing a three-phase load distribution model for the substation area and analyzing the operation status data in real time, the accuracy and efficiency of three-phase load imbalance adjustment are significantly improved. Through the effective integration and modeling of multi-dimensional data, the accuracy of model prediction is improved, the computational complexity is reduced, and the adaptability of the power grid to different scenarios is enhanced; at the same time, with the help of a closed-loop feedback mechanism and comprehensive evaluation indicators, the dynamic optimization of the control strategy is achieved, effectively improving the reliability and self-adaptability of the power grid, and avoiding equipment damage or power grid instability problems caused by improper operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings according to these drawings without creative efforts.

[0042] Figure 1 It is a flowchart of the automatic three-phase load imbalance adjustment method in Embodiment 1.

[0043] Figure 2 It is a schematic diagram of the automatic three-phase load imbalance adjustment device in Embodiment 1.

[0044] Figure 3 It is a flowchart of dynamic optimization and monitoring in Embodiment 1.

[0045] Figure 4 It is a flowchart of data acquisition and preprocessing in Embodiment 1. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] In order to make the above objects, features, and advantages of the present invention more obvious and understandable, the following detailed description of the specific embodiments of the present invention will be made in conjunction with the accompanying drawings of the specification.

[0047] Many specific details are set forth in the following description in order to provide a thorough understanding of the present invention, but the present invention may be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0048] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that excludes other embodiments.

[0049] Embodiment 1, referring to Figures 1 to 4, which is the first embodiment of the present invention. This embodiment provides a method for automatically adjusting three-phase load imbalance, including the following steps:

[0050] S1. Collect multi-dimensional data and perform preprocessing. Extract key characteristic parameters based on the multi-dimensional data and upload them to the master controller. The multi-dimensional data includes load current, three-phase voltage, power factor, and temperature;

[0051] It should be noted that the load current and three-phase voltage are used to evaluate the load balance state and power quality. The power factor is used to measure the power utilization efficiency, and the temperature is used to monitor the operation safety and thermal stability of the equipment. These data comprehensively reflect the operation state of the power network from different perspectives, providing rich information support for subsequent extraction of key characteristic parameters, model construction, and generation of optimization strategies.

[0052] The preprocessing includes denoising processing, missing value processing, and data normalization processing.

[0053] It should be noted that the denoising processing refers to removing the noise interference part in the original data through filtering technology and retaining the real and effective signals. The missing value processing refers to the process of filling and correcting the invalid values existing in the dataset to ensure the integrity of the data. The data normalization processing refers to converting the data with different dimensions or value ranges into the same standard range for subsequent calculation and analysis.

[0054] The local controller extracts the three-phase current imbalance degree by calculating the ratio of the difference between the maximum value and the minimum value of the three-phase current to the average value;

[0055] Extract the power factor by measuring the phase difference between the voltage and the current;

[0056] Extract the line loss through the Joule's law calculation method according to the line current and resistance;

[0057] Upload the key characteristic parameters to the master controller through wireless communication;

[0058] It should be noted that the three-phase current imbalance degree is an index to measure the difference degree of load current in a three-phase AC circuit, used to evaluate the current load distribution state and guide the optimal configuration of the phase-changing switch. The power factor is an index to measure the ratio of active power to apparent power in an AC circuit, indicating the effective degree of load utilization of electric energy. The line loss is the energy loss dissipated in the form of heat due to the existence of wire resistance during the transmission of electric energy, reflecting the operation efficiency and economy of the power grid.

[0059] S2. Build a three-phase load distribution model of the substation area based on the key characteristic parameters, and generate a regulation strategy by analyzing the three-phase load state index output by the model.

[0060] The master controller organizes the extracted key feature parameters into a unified matrix - form data structure;

[0061] Based on the data structure, a three - phase load distribution model for the substation area is constructed to predict the three - phase load status index F(X), and the expression is:

[0062] F(X) = w1·UIB(X)+w2·L(X)+w3·Q(X);

[0063] Among them, F(X) is the three - phase load status index, X is the current phase configuration, UIB(X) is the three - phase current unbalance degree, L(X) is the line loss, Q(X) is the power factor, w1 is the weight coefficient of the three - phase current unbalance degree, w2 is the weight coefficient of the line loss, and w3 is the weight coefficient of the power quality index.

[0064] It should be noted that the three - phase load distribution model for the substation area is the core tool for describing the load status of the power network, quantifies the impact of the current load distribution on the power network performance. By calculating the three - phase load status index F(X), it can quickly evaluate whether the current phase - change switch configuration is reasonable and help search for the optimal phase - change switch configuration scheme.

[0065] The master controller defines the load threshold F according to historical data and the optimization goal;

[0066] When F(X)≥F, it is considered that the three - phase load distribution exceeds the limit, and then the time window T base needs to be shortened until the three - phase load distribution returns to normal;

[0067] When F(X)<F, it is considered that the three - phase load distribution is normal, and then the current time window T base is maintained;

[0068] It should be noted that the time window T base refers to the time interval for the phase - change switch to perform the switching operation. This time window determines the frequency and timing of the regulation actions. When the three - phase load status index exceeds the limit, the master controller needs to shorten the time window T base to speed up the regulation frequency, improve the response speed of the regulation, and timely adjust the target phase configuration of the phase - change switch to avoid the continuous deterioration of the unbalanced state; when the three - phase load status index is normal, there is no need to shorten the time window T base , and the current time interval can be continued for regulation.

[0069] Based on the analysis results, the target phase configuration X that minimizes the comprehensive evaluation value F(X) of the three - phase load status is found through the dynamic programming method * and the switching time window T of each phase - change switch base ;

[0070] Based on the target phase configuration X* and time window T base Generate a control strategy S;

[0071] It should be noted that the dynamic programming method is an optimization technique for solving multi-stage decision-making problems. It decomposes complex problems into multiple sub-problems and obtains the global optimal solution by recursively solving these sub-problems; the target phase configuration X * Refers to the state where the master controller hopes to achieve the most balanced three-phase load distribution. This configuration is calculated through an optimization algorithm, aiming to minimize key indicators such as three-phase unbalance, line loss, and power factor.

[0072] S3. Execute the control strategy and optimize it in combination with local real-time data to generate an optimal control strategy.

[0073] The master controller sends the control strategy S to each phase-changing switch to start the switching operation;

[0074] The phase-changing switch collects the local three-phase voltage, load current, and power factor in real time;

[0075] It should be noted that the master controller sends the control strategy to each phase-changing switch through wireless communication technology. After receiving the control strategy, the phase-changing switch follows the predetermined time window T base and the target phase configuration X * , perform the corresponding switching operation. While performing the switching operation, the phase-changing switch continuously monitors and records key parameters such as the load current, three-phase voltage, and power factor at its location. By comparing the data changes before and after the switching, the control effect can be evaluated and a basis for further optimization can be provided.

[0076] Optimize the switching time window T according to the local real-time data base to generate a new time window T new ;

[0077] The optimal control strategy includes the target phase configuration X of each phase-changing switch * and the adjusted time window T new ;

[0078] It should be noted that the phase-changing switch continuously monitors the local real-time data. Through the analysis of these data, the trends and patterns of load changes can be identified. The phase-changing switch uses an optimization algorithm to calculate a new time window T based on the real-time data new .

[0079] S4. Perform the switching operation of the phase-changing switch according to the optimal control strategy, and at the same time monitor the voltage and current waveforms to generate operation status data and feedback it to the master controller.

[0080] The local controller is based on the time window Tnew and the target phase configuration X * , send a switching instruction to the commutation switch;

[0081] It should be noted that the local controller refers to a control unit located at a local position of the power grid, which is responsible for receiving the regulation strategy from the master controller and directly commanding the commutation switch to operate.

[0082] Real-time collect the waveform data of voltage and current, monitor the changes in each-phase current, monitor the amplitude and phase angle of each-phase voltage, monitor the change of power factor, and generate operation status data;

[0083] It should be noted that through the real-time collection of voltage and current waveform data, the dynamic characteristics of the power grid can be comprehensively understood, such as whether there are problems such as harmonic distortion and transient fluctuations; monitoring the changes in each-phase current can help identify three-phase imbalance problems; monitoring the amplitude and phase angle of each-phase voltage helps to evaluate the quality of the power grid, such as whether there are problems such as overvoltage or undervoltage, and phase asymmetry; the change of power factor directly affects the efficiency and cost of the power grid. A lower power factor means more reactive power consumption, increasing the transmission loss. By monitoring the change of power factor, measures can be taken to improve the power utilization rate and reduce the operation cost; the operation status data provides a comprehensive view of the operation of the power grid, which helps to evaluate the effectiveness of the regulation strategy and provides a basis for future optimization. It can be used to detect potential problems, verify the power grid performance, and support fault troubleshooting; by comparing the actual switching time and the planned time window, the timing accuracy of the master controller can be evaluated, and any factors that may cause time deviation can be found; long-term recording of the three-phase load distribution can help analyze the trend of load changes and provide a reference for future demand forecasting and power grid planning.

[0084] Upload the operation status data to the master controller through wireless communication. The master controller can readjust the model parameters through the feedback mechanism and start a new round of optimization process.

[0085] It should be noted that wireless communication technology enables the operation status data to be uploaded to the master controller in real time or periodically, ensuring that the master controller can obtain the latest power grid operation information in a timely manner. This method avoids the complexity and cost of wiring and is especially suitable for remote monitoring and management in distributed power networks; after receiving the operation status data from each local controller, the master controller can evaluate the accuracy and effectiveness of the current model based on these data. If it is found that there is a deviation between the model prediction and the actual situation, the accuracy can be improved by adjusting the model parameters. Based on the updated model parameters, the master controller starts a new round of optimization process. This continuous optimization cycle helps the power grid to continuously adapt to changing load conditions, maintain the best operation state, and thus improve the stability and efficiency of the power grid.

[0086] S5. Analyze the operation status data, record and generate feedback data according to the analysis results, transmit the feedback data back to the master controller, and optimize the control strategy.

[0087] Input the three-phase current unbalance degree UIB and line loss P before and after switching the phase l and compare with the power factor Q data, and define a comprehensive evaluation index E, whose expression is:

[0088]

[0089] where f1(ΔUIB) is an exponential decay transformation of the change in the three-phase current unbalance degree, f2(ΔP l ) is a logarithmic transformation of the change in the line loss, f Q (ΔQ) is a Sigmoid transformation of the change in Q, α represents the weight coefficient of the three-phase current unbalance degree, with a value of 0.5, β represents the weight coefficient of the line loss, with a value of 0.3, and γ represents the weight coefficient of the power factor, with a value of 0.2;

[0090]

[0091] where λ1 is the sensitivity parameter of the exponential decay function that controls the change in the three-phase current unbalance degree ΔUIB, λ2 is the sensitivity parameter of the Sigmoid function that controls the power factor Q, and δ is the target value of the power factor Q;

[0092] It should be noted that the comprehensive evaluation index E is a single value used to quantify the adjustment effect, which can comprehensively reflect the changes in multiple indicators such as the three-phase current unbalance degree, line loss, and power factor.

[0093] Define the threshold T according to historical data;

[0094] Generate analysis results based on the comprehensive evaluation index E and the threshold T;

[0095] When E≥T, it indicates that the current strategy achieves the expected effect and meets the performance requirements;

[0096] When E<T, it indicates that the current strategy does not achieve the expected effect and needs to be readjusted and optimized;

[0097] It should be noted that the threshold T is a standard value used to judge whether the optimization strategy achieves the expected effect, and it reflects the minimum goal of the power grid in terms of performance.

[0098] Store the analysis results in a structured form, record the effectiveness of the current strategy, record the change values of key characteristic parameters, record abnormal situations, and organize the analysis results and strategy status into structured feedback data in JSON format, and transmit them to the master controller through wireless communication.

[0099] After receiving the feedback data, the master controller stores it in the central database to form a complete operation record.

[0100] It should be noted that the structured form means organizing data according to a certain logic into a format that is easy to parse and use. This form facilitates subsequent data processing, analysis, and storage, ensures data integrity and consistency, and provides reliable feedback information to the master controller.

[0101] This embodiment also provides a three-phase load imbalance automatic regulation device, including: a data acquisition and preprocessing module, a load distribution modeling and strategy generation module, a real-time optimization and execution module, a switching operation and monitoring module, and a feedback analysis and optimization module;

[0102] The data acquisition and preprocessing module is used to collect multi-dimensional data and perform preprocessing, extract key feature parameters based on the multi-dimensional data and upload them to the master controller, and the multi-dimensional data includes load current, three-phase voltage, power factor, and temperature;

[0103] The load distribution modeling and strategy generation module is used to construct a three-phase load distribution model of the substation area based on the key feature parameters, and generate a regulation strategy by analyzing the three-phase load status index output by the model;

[0104] The real-time optimization and execution module is used to execute the regulation strategy and optimize it in combination with local real-time data to generate an optimal regulation strategy;

[0105] The switching operation and monitoring module is used to perform the switching operation of the phase-changing switch according to the optimal regulation strategy, and at the same time monitor the voltage and current waveforms, and generate operation status data to feedback to the master controller;

[0106] The feedback analysis and optimization module is used to analyze the operation status data, record and generate feedback data according to the analysis results, and transmit the feedback data back to the master controller to optimize the regulation strategy.

[0107] This embodiment also provides a computer device, which is applicable to the case of the three-phase load imbalance automatic regulation method, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the three-phase load imbalance automatic regulation method proposed in the above embodiment.

[0108] The computer device may be a terminal, which includes a processor, a memory, a communication interface, a display screen, and an input device connected via a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an 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 medium. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner. The wireless manner can be achieved through WIFI, carrier networks, NFC (Near Field Communication), or other technologies. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covering the display screen, or a button, trackball, or touchpad provided on the outer shell of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0109] This embodiment also provides a storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the method for automatically adjusting the three-phase load imbalance proposed in the above embodiment; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic memory, flash memory, a magnetic disk, or an optical disc.

[0110] In summary, through the following steps: constructing a three-phase load distribution model for the substation area and real-time analyzing the operation status data, the accuracy and efficiency of three-phase load imbalance adjustment are significantly improved. By effectively integrating and modeling multi-dimensional data, the accuracy of model prediction is improved, the computational complexity is reduced, and the adaptability of the power grid to different scenarios is enhanced; at the same time, with the help of a closed-loop feedback mechanism and comprehensive evaluation indicators, the dynamic optimization of the control strategy is realized, effectively improving the reliability and self-adaptive ability of the power grid, and avoiding equipment damage or power grid instability problems caused by improper operations.

[0111] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. An automatic adjustment method for three-phase load imbalance, characterized in that: including Collect multi-dimensional data and perform preprocessing, extract key feature parameters based on the multi-dimensional data and upload them to the master controller. The multi-dimensional data includes load current, three-phase voltage, power factor and temperature; Construct a three-phase load distribution model for the substation area based on the key feature parameters, and generate a control strategy by analyzing the three-phase load status index output by the model; Execute the control strategy, and optimize it in combination with local real-time data to generate an optimal control strategy; Perform the switching operation of the phase-changing switch according to the optimal control strategy, and at the same time monitor the voltage and current waveforms, generate operation status data and feedback it to the master controller; Analyze the operation status data, record and generate feedback data according to the analysis results, and transmit the feedback data back to the master controller to optimize the control strategy.

2. The automatic three-phase load imbalance adjustment method according to claim 1, characterized in that: The preprocessing includes denoising processing, missing value processing and data normalization processing.

3. The automatic three-phase load imbalance adjustment method according to claim 2, characterized in that: The step of extracting key feature parameters based on the multi-dimensional data and uploading them to the master controller is as follows: The local controller extracts the three-phase current imbalance degree by calculating the ratio of the difference between the maximum value and the minimum value of the three-phase current to the average value; Extract the power factor by measuring the phase difference between the voltage and the current; Extract the line loss by the Joule's law calculation method according to the line current and resistance; Upload the key feature parameters to the master controller through wireless communication.

4. The automatic three-phase load imbalance adjustment method according to claim 3, characterized in that: The step of constructing a three-phase load distribution model for the substation area based on the key feature parameters is as follows: The master controller organizes the extracted key feature parameters into a unified matrix-form data structure; Construct a three-phase load distribution model for the substation area according to the data structure, and predict the three-phase load status index F(X).

5. The automatic three-phase load imbalance adjustment method according to claim 4, characterized in that: The step of generating a control strategy by analyzing the three-phase load status index output by the model is as follows: The master controller defines the load threshold F according to the historical data and the optimization target; When F(X) ≥ F, it is considered that the three-phase load distribution exceeds the limit, and the time window T is shortened. base of time; When F(X) < F, it is considered that the three-phase load distribution is normal, and the current time window T base is maintained; Based on the analysis results, the target phase configuration X that minimizes the comprehensive evaluation value F(X) of the three-phase load state is found through the dynamic programming method * and the switching time window T of each phase change switch base ; Based on the target phase configuration X * and the time window T base generate the regulation strategy S.

6. The automatic three-phase load imbalance adjustment method according to claim 5, characterized in that: The step of executing the control strategy and optimizing it in combination with local real-time data to generate an optimal control strategy is as follows: The phase-changing switch collects the three-phase voltage, load current and power factor of the local area in real time; Optimize the switching time window T according to local real-time data base to generate a new time window T new ; The optimal control strategy includes the target phase configuration X of each commutation switch * and the adjusted time window T new .

7. The automatic adjustment method for three-phase load imbalance according to claim 6, characterized in that: The step of performing the switching operation of the phase-changing switch according to the optimal control strategy, monitoring the voltage and current waveforms at the same time, generating operation status data and feedback it to the master controller, analyzing the operation status data, recording and generating feedback data according to the analysis results, and transmitting the feedback data back to the master controller to optimize the control strategy is as follows: The local controller sends a switching instruction to the commutation switch according to the time window T new and the target phase configuration X * ,; Collect the waveform data of the voltage and current in real time, monitor the change of each phase current, monitor the amplitude and phase angle of each phase voltage, monitor the change of the power factor, and generate operation status data; Upload the operation status data to the master controller through wireless communication. The master controller can readjust the model parameters through the feedback mechanism and start a new round of optimization process; Input the three-phase current unbalance degree UIB and line loss P before and after switching the phase l Compare the data of power factor Q, and define a comprehensive evaluation index E; Define the threshold T according to the historical data; When E ≥ T, it indicates that the current strategy achieves the expected effect and meets the performance requirements; When E < T, it indicates that the current strategy fails to achieve the expected effect and needs to be readjusted and optimized; The analysis results are stored in a structured form, recording the effectiveness of the current strategy, the change values of key characteristic parameters, and abnormal situations, and the analysis results and strategy status are organized into structured feedback data in JSON format and transmitted to the master controller via wireless communication; After receiving the feedback data, the master controller stores it in the central database to form a complete operation record.

8. A three-phase load imbalance automatic adjustment device, based on the three-phase load imbalance automatic adjustment method according to any one of claims 1 to 7, characterized in that: Including a data acquisition and preprocessing module, a load distribution modeling and strategy generation module, a real-time optimization and execution module, a switching operation and monitoring module, and a feedback analysis and optimization module; The data acquisition and preprocessing module is used to collect multi-dimensional data and perform preprocessing, extract key characteristic parameters based on the multi-dimensional data and upload them to the master controller. The multi-dimensional data includes load current, three-phase voltage, power factor, and temperature; The load distribution modeling and strategy generation module is used to construct a three-phase load distribution model of the substation area based on the key characteristic parameters, and generate a regulation strategy by analyzing the three-phase load status index output by the model; The real-time optimization and execution module is used to execute the regulation strategy and optimize it in combination with local real-time data to generate an optimal regulation strategy; The switching operation and monitoring module is used to perform switching operations of the phase change switch according to the optimal regulation strategy, and at the same time monitor the voltage and current waveforms, and generate operation status data to feedback to the master controller; The feedback analysis and optimization module is used to analyze the operation status data, record and generate feedback data according to the analysis results, transmit the feedback data back to the master controller, and optimize the regulation strategy.

9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the three-phase load imbalance automatic adjustment 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 the processor, it implements the steps of the three-phase load imbalance automatic adjustment method according to any one of claims 1 to 7.

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