Circuit breaker three-phase imbalance early warning and diagnosis method and system based on kalman filtering
By using the Kalman filter method to process and diagnose the three-phase current of the circuit breaker, the problems of poor timeliness and low diagnostic accuracy in traditional methods are solved. This enables real-time monitoring and early warning of three-phase imbalance in the circuit breaker, ensuring the stability and rapid recovery of the power system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GUODIAN NANJING AUTOMATION SOFTWARE ENG
- Filing Date
- 2026-03-03
- Publication Date
- 2026-06-23
AI Technical Summary
Traditional methods for monitoring three-phase current imbalance in circuit breakers suffer from poor timeliness and low diagnostic accuracy, making it difficult to detect potential power faults in a timely manner, which can lead to possible cascading failures and large-scale power outages.
The three-phase current data of the circuit breaker is preprocessed using the Kalman filtering method to construct a Kalman filtering model. The optimal estimate is obtained through iterative calculation using the Kalman filtering algorithm. The imbalance of the three-phase current is calculated and a threshold is set to trigger an early warning, which is then combined with fault handling measures.
It enables real-time monitoring and prediction of three-phase imbalance in circuit breakers, reduces false alarms, improves the accuracy and timeliness of diagnosis, ensures the stable operation of the power system, and shortens fault recovery time.
Smart Images

Figure CN122260089A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to a method and system for early warning and diagnosis of three-phase imbalance in circuit breakers based on Kalman filtering, belonging to the field of power equipment monitoring and diagnosis technology. Background Technology
[0002] In power systems, circuit breakers are critical equipment, and their operating status directly affects the safety and stability of the entire system. If a circuit breaker malfunctions and fails to disconnect the fault in a timely manner, the localized problem can easily spread, potentially leading to cascading failures or even large-scale power outages, causing significant economic losses. Three-phase current imbalance is one of the most common circuit breaker faults. This type of fault often stems from underlying problems such as uneven contact and wear within the circuit breaker. If not detected and addressed promptly, it can trigger more serious power accidents. Traditional monitoring methods often rely on periodic inspections and tests, but these methods suffer from poor timeliness and low diagnostic accuracy.
[0003] Therefore, it is particularly important to develop a diagnostic method that can monitor, predict, and diagnose three-phase current imbalance in circuit breakers in real time. Summary of the Invention
[0004] The purpose of this invention is to provide a method and system for early warning and diagnosis of three-phase imbalance in circuit breakers based on Kalman filtering. By using the Kalman filtering method, the telemetry values of the three-phase current of the circuit breaker are accurately extrapolated, so as to realize the early prediction and diagnosis of three-phase imbalance in the circuit breaker. Through the method of this invention, the operating status of the circuit breaker can be monitored in real time, and potential three-phase imbalance problems can be detected in a timely manner, providing a strong guarantee for the stable operation of the power system.
[0005] To achieve the above objectives, the present invention is implemented using the following technical solution.
[0006] In a first aspect, the present invention provides a method for early warning and diagnosis of three-phase imbalance in circuit breakers based on Kalman filtering, comprising:
[0007] Obtain the three-phase current data of the circuit breaker and perform preprocessing;
[0008] Based on the preprocessed three-phase current data, a Kalman filter model is constructed, and the Kalman filter algorithm is used for iterative calculation to obtain the optimal estimate of the three-phase current at each moment.
[0009] Based on the optimal estimate, the unbalance of the three-phase current is calculated. When the unbalance reaches the set threshold, an early warning message is issued and the cause of the three-phase unbalance is diagnosed. The diagnosis results are used for fault handling.
[0010] Furthermore, the Kalman filter model includes state equations and observation equations. The state equations describe the variation of the three-phase current of the circuit breaker over time, and are expressed as follows:
[0011] ;
[0012] in, express The three-phase current state of the circuit breaker at any given time. Here is the state transition matrix. This is process noise;
[0013] The observation equation reflects the relationship between telemetry values and the actual state, and its expression is:
[0014] ;
[0015] in, express Telemetry value at time, For the observation matrix, To observe noise.
[0016] Furthermore, the preprocessing includes data smoothing to reduce the impact of data fluctuations on subsequent processing.
[0017] In the method of this invention, preprocessing effectively reduces invalid fluctuations in the original data, reduces the direct interference of noise on the core estimation algorithm, improves the quality of the data source of the entire system, and lays the foundation for subsequent high-precision state estimation.
[0018] Furthermore, the Kalman filter algorithm includes a prediction step and an update step, wherein the prediction step predicts the state at the next time step based on the state equation;
[0019] The update step corrects the prediction results based on the observation equation and telemetry values to obtain the optimal estimate.
[0020] In the method of this invention, the historical state prediction and the current real-time observation are dynamically and optimally integrated through the Kalman filter algorithm, effectively removing the influence of observation noise and process noise, and outputting the current estimation sequence that is closest to the true value, so that the subsequent imbalance calculation is more accurate and reliable.
[0021] Furthermore, the imbalance of the three-phase current is measured by comparing the difference or ratio between the three-phase currents.
[0022] Furthermore, based on the predicted optimal estimate of the three-phase current, the imbalance of the three-phase current is recalculated using the above formula. The expression is:
[0023] ;
[0024] Among them, when each group is calculated When the imbalance is less than the set threshold, the data set is retained and used in subsequent calculations; when the imbalance... When the set threshold is reached, the system immediately triggers the early warning mechanism, automatically sends early warning information to relevant personnel, and performs a three-phase imbalance diagnosis.
[0025] The method of this invention can more realistically reflect the inherent imbalance state of the system, greatly reduce false alarms caused by data noise, and the set threshold enhances the adaptability of the method to different scenarios, realizing the transformation from "fault alarm" to "abnormal early warning", thus saving valuable time for proactive operation and maintenance.
[0026] Furthermore, after the warning is triggered, the system not only sends alarm information, but also combines the optimal estimated value curve, the trend of imbalance change and historical data to conduct a preliminary diagnosis of the cause of three-phase imbalance. Based on the diagnosis conclusion, the system can suggest or trigger corresponding fault handling measures.
[0027] The fault handling measures include adjusting power system parameters, replacing faulty components, and performing system maintenance.
[0028] Furthermore, the set threshold is set according to different application scenarios.
[0029] In the method of this invention, relevant personnel can quickly locate the problem based on the diagnostic conclusion, take targeted measures, shorten the fault recovery time, and improve the reliability of power grid operation.
[0030] Secondly, the present invention provides a circuit breaker three-phase imbalance early warning and diagnosis system based on Kalman filtering, comprising:
[0031] The data acquisition and preprocessing module is used to acquire the three-phase current data of the circuit breaker and perform preprocessing.
[0032] The Kalman filter calculation module is used to construct a Kalman filter model based on the preprocessed three-phase current data, and to perform iterative calculations using the Kalman filter algorithm to obtain the optimal estimate of the three-phase current at each moment.
[0033] The three-phase imbalance early warning and diagnosis module is used to calculate the imbalance degree of the three-phase current based on the optimal estimate. When the imbalance degree reaches the set threshold, an early warning message is issued and the cause of the three-phase imbalance is diagnosed. The diagnosis result is used for fault handling.
[0034] Thirdly, the present invention provides a computer-readable storage medium having a computer program / instruction stored thereon, which, when executed by a processor, implements the steps of the circuit breaker three-phase imbalance early warning and diagnosis method based on Kalman filtering as described in any of the first aspects.
[0035] Fourthly, the present invention provides a computer device, comprising:
[0036] Memory, used to store computer programs / instructions;
[0037] A processor is configured to execute the computer program / instructions to implement the steps of the circuit breaker three-phase imbalance early warning and diagnosis method based on Kalman filtering as described in any of the first aspects.
[0038] Compared with the prior art, the beneficial effects achieved by the present invention are as follows:
[0039] 1. The present invention provides a method for early warning and diagnosis of three-phase imbalance in circuit breakers based on Kalman filtering. This method acquires three-phase current data from the circuit breaker and preprocesses it. Based on the preprocessed three-phase current data, a Kalman filter model is constructed, and the Kalman filter algorithm is used for iterative calculation to obtain the optimal estimate of the three-phase current at each moment. The imbalance degree of the three-phase current is calculated. When the imbalance degree reaches a set threshold, an early warning mechanism is triggered, sending early warning information to relevant personnel and diagnosing the cause of the three-phase imbalance. Based on the diagnosis results, the method of the present invention takes fault handling measures, which can identify three-phase imbalance in the circuit breaker in advance and trigger early warning information. Relevant personnel can take corresponding fault handling measures in advance based on the early warning information, promptly discover potential three-phase imbalance problems, and ensure the stable operation of the power system. The present invention has broad application prospects.
[0040] 2. The computer-readable storage medium and computer device provided by the present invention can execute the steps of the circuit breaker three-phase imbalance early warning and diagnosis method based on Kalman filtering provided by the present invention. Attached Figure Description
[0041] Figure 1 This is a schematic diagram of the structure of a circuit breaker three-phase imbalance early warning and diagnosis method based on Kalman filtering according to an embodiment of the present invention. Detailed Implementation
[0042] It should be noted that:
[0043] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations thereof. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.
[0044] The term "and / or" simply describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. Additionally, the character " / " generally indicates that the preceding and following related objects have an "or" relationship.
[0045] Example 1
[0046] like Figure 1 As shown in the figure, this embodiment introduces a method for early warning and diagnosis of three-phase imbalance in circuit breakers based on Kalman filtering, including:
[0047] Obtain the three-phase current data of the circuit breaker and perform preprocessing;
[0048] Based on the preprocessed three-phase current data, a Kalman filter model is constructed, and the Kalman filter algorithm is used for iterative calculation to obtain the optimal estimate of the three-phase current at each moment.
[0049] Based on the optimal estimate, the unbalance of the three-phase current is calculated. When the unbalance reaches the set threshold, an early warning message is issued and the cause of the three-phase unbalance is diagnosed. The diagnosis results are used for fault handling.
[0050] Furthermore, the preprocessing of the three-phase current data includes data cleaning and data smoothing to eliminate noise and abnormal fluctuations. In this embodiment, a low-pass filter is used to smooth the raw current signal to reduce data jitter caused by instantaneous load changes.
[0051] Furthermore, the Kalman filter model includes state equations and observation equations. The state equations describe the variation of the three-phase current of the circuit breaker over time, and are expressed as follows:
[0052] ;
[0053] in, express The three-phase current state of the circuit breaker at any given time. Here is the state transition matrix. This is process noise;
[0054] The observation equation reflects the relationship between telemetry values and the actual state, and its expression is:
[0055] ;
[0056] in, express Telemetry value at time, For the observation matrix, To observe noise.
[0057] Furthermore, the Kalman filter algorithm includes a prediction step and an update step. In this embodiment, the prediction step is used to predict the state at the next moment based on the state equation.
[0058] The update step is used to correct the prediction results based on the observation equation and telemetry values to obtain the optimal estimate of the three-phase current. In this embodiment, through repeated iterative calculations, the system can dynamically track the real change trend of the current, thereby effectively suppressing measurement noise.
[0059] Furthermore, based on the predicted optimal estimate of the three-phase current, the imbalance of the three-phase current is recalculated using the above formula. The expression is:
[0060] ;
[0061] Among them, when each group is calculated When the imbalance is less than the set threshold, the data set is retained and used in subsequent calculations; when the imbalance... When the set threshold is reached, the system immediately triggers the early warning mechanism, automatically sends early warning information to relevant personnel, and performs a three-phase imbalance diagnosis. In this embodiment, common causes include: abnormal load, loose wiring, and parameter misalignment. The system takes fault handling measures based on the diagnosis results, including redistributing the load, checking the wiring, and performing maintenance.
[0062] Furthermore, the set three-phase current imbalance It is scene-adaptive and can be flexibly configured according to actual application scenarios, including power distribution networks and various industrial power consumption scenarios.
[0063] Furthermore, fault handling measures include adjusting power system parameters, replacing faulty components, and performing system maintenance. Adjusting power system parameters refers to adjusting them remotely or locally when the diagnosis indicates that the three-phase current imbalance is caused by uneven load distribution or different system operating modes. In this embodiment, the three-phase voltage distribution can be improved by remotely controlling the taps of the on-load tap-changing transformer in the distribution network.
[0064] The replacement of faulty components refers to the need to shut down the power for maintenance and replace the faulty component when a specific component is diagnosed as being damaged, causing an imbalance in the three-phase current. In this embodiment, when an abnormality is detected in the output of a current transformer in a certain phase, the power is immediately shut down for maintenance and the faulty current transformer is replaced.
[0065] The system maintenance mentioned refers to the targeted inspection and repair of the system when loose wiring connections or insulation aging causes imbalance problems. This embodiment can inspect and tighten loose cable joints in the distribution box and clean the surface of insulators in cases of insulation aging.
[0066] Example 2
[0067] Based on the Kalman filter-based three-phase imbalance early warning and diagnosis method for circuit breakers described in Example 1, this example introduces a Kalman filter-based three-phase imbalance early warning and diagnosis system for circuit breakers, including:
[0068] The data acquisition and preprocessing module is used to acquire the three-phase current data of the circuit breaker and perform preprocessing.
[0069] The Kalman filter calculation module is used to construct a Kalman filter model based on the preprocessed three-phase current data, and to perform iterative calculations using the Kalman filter algorithm to obtain the optimal estimate of the three-phase current at each moment.
[0070] The three-phase imbalance early warning and diagnosis module is used to calculate the imbalance degree of the three-phase current based on the optimal estimate. When the imbalance degree reaches the set threshold, an early warning message is issued and the cause of the three-phase imbalance is diagnosed. The diagnosis result is used for fault handling.
[0071] Example 3
[0072] Based on the Kalman filter-based three-phase imbalance early warning and diagnosis method for circuit breakers described in Embodiment 1, this embodiment introduces a computer-readable storage medium storing a computer program / instruction. When the computer program / instruction is executed by a processor, it implements the steps of the Kalman filter-based three-phase imbalance early warning and diagnosis method for circuit breakers as described in any of Embodiment 1.
[0073] Example 4
[0074] Based on the three-phase imbalance early warning and diagnosis method for circuit breakers based on Kalman filtering described in Embodiment 1, this embodiment provides a computer device, including:
[0075] Memory, used to store computer programs / instructions;
[0076] A processor is configured to execute the computer program / instructions to implement the steps of the circuit breaker three-phase imbalance early warning and diagnosis method based on Kalman filtering as described in any one of Embodiments 1.
[0077] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0078] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0079] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0080] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0081] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.
Claims
1. A method for early warning and diagnosis of three-phase imbalance in circuit breakers based on Kalman filtering, characterized in that, include: Obtain the three-phase current data of the circuit breaker and perform preprocessing; Based on the preprocessed three-phase current data, a Kalman filter model is constructed, and the Kalman filter algorithm is used for iterative calculation to obtain the optimal estimate of the three-phase current at each moment. Based on the optimal estimate, the unbalance of the three-phase current is calculated. When the unbalance reaches the set threshold, an early warning message is issued and the cause of the three-phase unbalance is diagnosed. The diagnosis results are used for fault handling.
2. The method for early warning and diagnosis of three-phase imbalance in circuit breakers based on Kalman filtering according to claim 1, characterized in that, The Kalman filter model includes state equations and observation equations. The state equations describe the variation of the three-phase current of the circuit breaker with time, and are expressed as follows: ; in, express The three-phase current state of the circuit breaker at any given time. Here is the state transition matrix. This is process noise; The observation equation reflects the relationship between telemetry values and the actual state, and its expression is: ; in, express Telemetry value at time, For the observation matrix, To observe noise.
3. The method for early warning and diagnosis of three-phase imbalance in circuit breakers based on Kalman filtering according to claim 1, characterized in that, The preprocessing includes data smoothing to reduce the impact of data fluctuations on subsequent processing.
4. The method for early warning and diagnosis of three-phase imbalance in circuit breakers based on Kalman filtering according to claim 1, characterized in that, The Kalman filter algorithm includes a prediction step and an update step. The prediction step predicts the state at the next time step based on the state equation. The update step corrects the prediction results based on the observation equation and telemetry values to obtain the optimal estimate.
5. The method for early warning and diagnosis of three-phase imbalance in circuit breakers based on Kalman filtering according to claim 1, characterized in that, The imbalance of the three-phase current is measured by comparing the difference or ratio between the three-phase currents.
6. The method for early warning and diagnosis of three-phase imbalance in circuit breakers based on Kalman filtering according to claim 1, characterized in that, The fault handling measures include adjusting power system parameters, replacing faulty components, and performing system maintenance.
7. The method for early warning and diagnosis of three-phase imbalance in circuit breakers based on Kalman filtering according to claim 1, characterized in that, The threshold values are set according to different application scenarios.
8. A circuit breaker three-phase imbalance early warning and diagnosis system based on Kalman filtering, characterized in that, include: The data acquisition and preprocessing module is used to acquire the three-phase current data of the circuit breaker and perform preprocessing. The Kalman filter calculation module is used to construct a Kalman filter model based on the preprocessed three-phase current data, and to perform iterative calculations using the Kalman filter algorithm to obtain the optimal estimate of the three-phase current at each moment. The three-phase imbalance early warning and diagnosis module is used to calculate the imbalance degree of the three-phase current based on the optimal estimate. When the imbalance degree reaches the set threshold, an early warning message is issued and the cause of the three-phase imbalance is diagnosed. The diagnosis result is used for fault handling.
9. A computer-readable storage medium having a computer program / instructions stored thereon, characterized in that, When the computer program / instruction is executed by the processor, it implements the steps of the circuit breaker three-phase imbalance early warning and diagnosis method based on Kalman filtering as described in any one of claims 1 to 7.
10. A computer device / equipment / system, characterized in that, include: Memory, used to store computer programs / instructions; A processor for executing the computer program / instructions to implement the steps of the circuit breaker three-phase imbalance early warning and diagnosis method based on Kalman filtering as described in any one of claims 1 to 7.