Control method and system of energy storage PCS with AC / DC circuit breaker, and storage medium
Patent Information
- Application Number
- CN202511382158.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-25
- Publication Date
- 2025-11-04
Smart Images

Figure CN120896209A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of energy storage system control, and more particularly, to a control method, system and storage medium of an energy storage PCS with AC / DC circuit breakers. BACKGROUND
[0002] With the continuous increase of renewable energy penetration and the continuous expansion of grid-side energy storage scale, energy storage systems are developing towards higher power density, higher system integration and higher operation reliability. Under this background, energy storage PCS modules integrated with AC / DC circuit breakers have become the mainstream technology route in the industry, which improves the compactness and safety of the system to a certain extent by integrating protection devices with the converter.
[0003] However, the existing technical solutions still have many defects to be solved. First, the traditional scheme still needs to be connected with independent circuit breakers, fuses and protection relays, which not only increases the cost of the system, but also introduces contact resistance and electromagnetic interference risk due to a large number of wiring nodes, reducing the reliability of the system. Second, the installation and debugging process is complicated and requires high specialization, and the external circuit breaker needs to be selected, installed and parameter matched separately, and the protection characteristics often do not match in the field debugging, resulting in system risks such as overstep tripping. Then, the recovery process after system failure is inefficient, relying on manual field reset of circuit breakers and replacement of fuses, resulting in long system downtime, seriously affecting the availability and economy of grid-side energy storage power stations. Finally, in the application of multiple clusters of parallel cells, the existing technology is difficult to realize fine management and collaborative control between clusters, and the system scalability and flexibility are limited. In addition, the traditional protection strategy mostly uses a fixed threshold mechanism, which is difficult to adapt to complex and variable actual operating conditions, and lacks fault warning and adaptive adjustment capabilities.
[0004] Therefore, an intelligent control technology based on multi-level threshold chain comparison and collaborative protection mechanism is needed to fundamentally improve the safety, reliability and economy of energy storage systems. SUMMARY
[0005] In view of the above problems, the purpose of the present application is to provide a control method, system and storage medium of an energy storage PCS with AC / DC circuit breakers, first, through synchronous acquisition of AC / DC side electrical parameters and digital filtering, calibration compensation and normalization preprocessing, a standardized electrical matrix is formed; then the matrix parameters are compared with the early warning, primary, secondary and fuse threshold values in the real-time updated multi-level threshold mapping table, and differential responses are triggered according to the threshold breakthrough level: including recording the early warning log, performing the self-healing operation of IGBT current limiting and circuit breaker pre-off, starting the collaborative protection of IGBT active off and circuit breaker mechanical break, and finally the physical isolation of the fuse; then the threshold mapping table is dynamically adjusted by analyzing the operation log to realize the adaptive optimization of system parameters; the fault response speed is improved to the microsecond level through the software and hardware collaborative protection mechanism, and the misoperation rate is significantly reduced; the adaptive learning function enhances the stability of the system under complex working conditions and reduces the life cycle cost.
[0006] The first aspect of the present application provides a control method of an energy storage PCS with AC / DC circuit breakers, the method comprising: Based on the preset detection module, the DC side electrical information and the AC side electrical information are synchronously acquired; The electrical information is subjected to preset data preprocessing to obtain an electrical matrix; Based on the preset storage address, a real-time updated multi-level threshold mapping table is obtained; According to all electrical parameters of the electrical matrix and all level threshold values of the multi-level threshold mapping table, a cyclic comparison is performed; If any electrical parameter exceeds the corresponding early warning threshold value, an early warning flag is triggered, and an early warning log is recorded; If any DC electrical parameter or any AC electrical parameter exceeds the corresponding primary threshold value, a primary protection flag is triggered, and a self-healing operation is performed; If any DC electrical parameter or any AC electrical parameter exceeds the corresponding secondary threshold value, a secondary protection flag is triggered, and an off operation is performed; If any DC electrical parameter or any AC electrical parameter exceeds the corresponding fuse threshold value, a fuse flag is triggered, and a physical fuse operation is performed; An operation log is recorded, the fault root cause and frequency are analyzed based on the operation log, and the multi-level threshold mapping table is dynamically adjusted.
[0007] In the present solution, the preset data preprocessing of the electrical information to obtain the electrical matrix specifically comprises: The electrical parameters are stored in a preset data queue according to the first-in-first-out rule; According to the data queue, the filtered data queue is obtained based on the preset low-pass digital filtering algorithm; According to the type of electrical parameters, a calibration coefficient is obtained; The filtered data queue is calibrated or zero-point compensated according to the calibration coefficient to obtain a compensated data queue. Based on the compensation data queue, the data is divided by the rated value corresponding to the electrical parameter type to obtain normalized data and generate an electrical matrix.
[0008] In this scheme, the step of performing a cyclic comparison based on all electrical parameters of the electrical matrix and all level thresholds of the multi-level threshold mapping table specifically includes: Extract the latest column vector data of the electrical matrix to obtain the latest electrical parameters corresponding to all electrical parameter types; Based on the electrical parameter type, it is compared sequentially with all the corresponding level thresholds in the multi-level threshold mapping table, in order from low to high. If the electrical parameter exceeds the threshold of any level, the corresponding level flag bit will be set to logic one. Repeat this process until all parameters have been compared with all corresponding thresholds, and output a flag vector containing all comparison results.
[0009] In this solution, triggering the first-level protection flag and performing the self-healing operation specifically includes: In response to the flag bit vector indicating that any parameter exceeds its first-level threshold, the first-level protection flag is triggered; The first control command is generated and sent to the pulse width modulation driver to gradually reduce the duty cycle of the IGBT's on signal; A second control command is generated and sent to the DC circuit breaker or AC circuit breaker to pre-energize and preheat the shunt trip coil; Monitor the changing trend of electrical parameters. If the parameters return to normal, deactivate the pre-energization state and restore normal IGBT drive.
[0010] In this solution, triggering the secondary protection flag and performing the shutdown operation specifically includes: The secondary protection flag is triggered in response to the flag bit vector indicating that any parameter exceeds its secondary threshold; A third control command is generated and sent to the pulse width modulation driver to stop the IGBT drive signal and cut off the electronic circuit. A fourth control command is generated and sent to the DC circuit breaker or AC circuit breaker, outputting a continuous disconnection drive signal to cause the circuit breaker to perform a mechanical disconnection operation.
[0011] In this solution, the step of dynamically adjusting the multi-level threshold mapping table based on operation log analysis of fault root causes and frequency specifically includes: Based on a preset statistical period, the frequency of occurrence of a specific type of fault and the electrical parameter characteristics before and after its occurrence are calculated. If the fault occurs frequently and the parameters thereof do not exceed the currently set early warning threshold before the fault, the early warning threshold and the first-level threshold of the parameter are automatically adjusted to be lower; If the fault occurs frequently and the parameters thereof float around the corresponding threshold, the early warning threshold and the first-level threshold of the corresponding parameter are automatically adjusted to be higher. The adjusted new threshold mapping table is written back to the specified address, and the adaptive learning optimization is completed.
[0012] The second aspect of the present application provides a control system of a storage PCS with an AC-DC circuit breaker, including a control method program of a storage PCS with an AC-DC circuit breaker, which realizes the following steps when executed by the processor: Based on the preset detection module, the DC side electrical information and the AC side electrical information are synchronously collected; The electrical information is subjected to preset data preprocessing to obtain an electrical matrix; Based on the preset storage address, a real-time updated multi-level threshold mapping table is obtained; According to all electrical parameters of the electrical matrix and all level thresholds of the multi-level threshold mapping table, a cyclic comparison is performed; If any electrical parameter exceeds the corresponding early warning threshold, an early warning flag is triggered, and an early warning log is recorded; If any DC electrical parameter or any AC electrical parameter exceeds the corresponding first-level threshold, a first-level protection flag is triggered, and a self-healing operation is performed; If any DC electrical parameter or any AC electrical parameter exceeds the corresponding second-level threshold, a second-level protection flag is triggered, and a shutdown operation is performed; If any DC electrical parameter or any AC electrical parameter exceeds the corresponding fuse threshold, a fuse flag is triggered, and a physical fuse operation is performed; An operation log is recorded, and the root cause and frequency of the fault are analyzed based on the operation log to dynamically adjust the multi-level threshold mapping table.
[0013] In the present scheme, the preset data preprocessing of the electrical information to obtain the electrical matrix specifically includes: The electrical parameters are stored in a preset data queue according to the first-in first-out rule; According to the data queue, a filtered data queue is obtained based on a preset low-pass digital filtering algorithm; According to the type of the electrical parameter, a calibration coefficient is obtained; The filtered data queue is calibrated and compensated or zero-compensated according to the calibration coefficient to obtain a compensated data queue; According to the compensated data queue, the normalized data is obtained by dividing the corresponding rated value of the type of the electrical parameter, and the electrical matrix is generated.
[0014] In the scheme, the loop comparison is performed according to all electrical parameters of the electrical matrix and all hierarchical thresholds of the multi-level threshold mapping table, and specifically includes the following steps: The latest column vector data of the electrical matrix is extracted to obtain the latest electrical parameters corresponding to all electrical parameter types; According to the electrical parameter type, all hierarchical thresholds corresponding to the multi-level threshold mapping table are sequentially compared in order from low to high; If the electrical parameter exceeds any hierarchical threshold, the corresponding hierarchical flag bit is set to logic one; This process is repeated until all parameters are compared with all corresponding thresholds, and a flag bit vector containing all comparison results is output.
[0015] The third aspect of the present application provides a computer readable storage medium, the computer readable storage medium includes a control method program of a self-contained AC / DC circuit breaker energy storage PCS, when the control method program of the self-contained AC / DC circuit breaker energy storage PCS is executed by a processor, the steps of the control method of the self-contained AC / DC circuit breaker energy storage PCS are realized as described in any one of the above.
[0016] The present application provides a control method, system and storage medium of a self-contained AC / DC circuit breaker energy storage PCS. Firstly, electrical parameters on the DC side and the AC side are synchronously collected, and the collected data is preprocessed to form a standardized electrical matrix. Then, all parameters in the electrical matrix are compared with corresponding early warning thresholds, primary thresholds, secondary thresholds and fuse thresholds in a multi-level threshold mapping table. If the early warning threshold is exceeded, a log is recorded. If the primary threshold is exceeded, a self-healing operation is performed. If the secondary threshold is exceeded, a shutdown operation is performed. If the fuse threshold is reached, a physical fuse is triggered. All operation logs are recorded and the threshold mapping table is dynamically optimized by analyzing the log data. The present application improves the fault response speed and protection accuracy through multi-level threshold comparison and collaborative protection mechanism. The stability and reliability under different working conditions are enhanced through adaptive learning ability, and the total life cycle cost is reduced. BRIEF DESCRIPTION OF DRAWINGS
[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as a limitation on the scope.
[0018] Figure 1 A flowchart of a control method of a self-contained AC / DC circuit breaker energy storage PCS according to the present application is shown; Figure 2 A pre-processing operation flowchart of electrical information according to an embodiment of the present application is shown; Figure 3A flow chart of performing a self-healing operation is shown. Figure 4 A block diagram of a control system of a self-energy PCS with an AC-DC circuit breaker is shown. DETAILED DESCRIPTION
[0019] The technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.
[0020] Unless otherwise defined, all terms (including technical and scientific terms) used in the embodiments of the present application have the same meanings as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined in the embodiments of the present application.
[0021] The terms "first", "second", and similar terms used in the embodiments of the present application do not denote any order, quantity, or importance, but are only used to distinguish different constituent parts. The terms "one", "a", or "the" and similar terms do not denote a quantity restriction, but mean that there is at least one. Similarly, the terms "include" or "contain" and similar terms mean that the elements or objects before the terms encompass the elements or objects listed after the terms and their equivalents, and do not exclude other elements or objects. The terms "connect" or "connected" and similar terms are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. The steps before or after the methods in the embodiments of the present application do not necessarily proceed in order. On the contrary, various steps can be processed in reverse order or simultaneously. Meanwhile, other operations can be added to these processes, or a step or several steps can be removed from these processes.
[0022] In addition, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.
[0023] Figure 1 A flow chart of a control method of a self-energy PCS with an AC-DC circuit breaker is shown.
[0024] As Figure 1As shown, the first aspect of the application discloses a control method of an energy storage PCS with AC / DC circuit breaker, the method comprising: Based on the preset detection module, the DC side electrical information and the AC side electrical information are synchronously collected; The electrical information is subjected to preset data preprocessing to obtain an electrical matrix; Based on the preset storage address, a real-time updated multi-level threshold mapping table is obtained; According to all electrical parameters of the electrical matrix and all level threshold values of the multi-level threshold mapping table, a cyclic comparison is performed; If any electrical parameter exceeds the corresponding early warning threshold value, an early warning flag is triggered, and an early warning log is recorded; If any DC electrical parameter or any AC electrical parameter exceeds the corresponding first-level threshold value, a first-level protection flag is triggered, and a self-healing operation is performed; If any DC electrical parameter or any AC electrical parameter exceeds the corresponding second-level threshold value, a second-level protection flag is triggered, and a shutdown operation is performed; If any DC electrical parameter or any AC electrical parameter exceeds the corresponding fuse threshold value, a fuse flag is triggered, and a physical fuse operation is performed; An operation log is recorded, the fault root cause and frequency are analyzed based on the operation log, and the multi-level threshold mapping table is dynamically adjusted.
[0025] It should be noted that the DC side electrical information at least includes DC voltage and DC current; the AC side electrical information at least includes AC voltage and AC frequency of three-phase AC; the data preprocessing at least includes digital filtering, calibration compensation and normalization processing; the self-healing operation at least includes IGBT current limiting and circuit breaker pre-shutdown; the shutdown operation at least includes IGBT shutdown and circuit breaker shutdown; and the physical fuse operation at least includes fuse physical fuse.
[0026] In the embodiment, firstly, through the internal preset detection module, such as Hall sensor and voltage current transformer, the voltage and current of the energy storage unit DC side and the three-phase voltage and frequency of the grid AC side are synchronously and real-time signal collected to ensure the instantaneous consistency of the obtained data. Subsequently, the collected raw electrical information is sent to the data processing unit to perform a series of preset preprocessing steps. The preprocessing steps include applying a digital filtering algorithm to eliminate high-frequency noise interference, calling the calibration coefficient stored in the non-volatile memory for accuracy compensation of the measurement value, and dividing each physical quantity by its rated value to complete the normalization processing, and finally generating an electrical matrix that can comprehensively represent the current operating state of the system. At the same time, a multi-level threshold mapping table that can be updated in real time is called from the preset storage address, wherein the multi-level threshold mapping table defines the specific threshold limit values corresponding to multiple levels such as early warning, primary protection, secondary protection and final fuse protection. The core control logic of the embodiment is to compare and judge all real-time parameters in the electrical matrix with all level thresholds in the threshold mapping table one by one and in a loop: if any parameter exceeds its early warning threshold, the early warning flag is triggered and the log is recorded; if any AC / DC parameter exceeds the primary threshold, the flag is triggered and the self-healing operation including IGBT current limiting and circuit breaker pre-shutdown is started; if the parameter further deteriorates and exceeds the secondary threshold, more thorough IGBT and circuit breaker coordinated shutdown operation is performed; if the fuse threshold is reached, the ultimate protection is realized by relying on the physical fuse of the fuse. All operations are recorded in the log, and the system analyzes these logs to trace the root cause of the fault and count the occurrence frequency, thereby adaptively dynamically adjusting the threshold mapping table to realize continuous optimization of the system protection characteristics.
[0027] Figure 2 A pre-processing operation flowchart of electrical information provided by an embodiment of the application is shown.
[0028] According to the embodiment of the application, as Figure 2 shown, the pre-processing of electrical information is performed to obtain an electrical matrix, specifically including: According to the first-in first-out rule, the electrical parameters are stored in a preset data queue; According to the data queue, a filter data queue is obtained based on a preset low-pass digital filtering algorithm; According to the type of electrical parameter, a calibration coefficient is obtained; According to the calibration coefficient, the filter data queue is calibrated and compensated or zero-compensated to obtain a compensation data queue; According to the compensation data queue, the normalized data is obtained by dividing the compensation data queue by the rated value corresponding to the type of electrical parameter, and the electrical matrix is generated.
[0029] It should be noted that the embodiment provides a specific implementation process of data preprocessing and generating an electrical matrix. In the embodiment, first, the original electrical parameters synchronously collected are stored in respective first-in-first-out data queues according to a strict sequence, so as to ensure the time sequence and integrity of data processing. Secondly, a preset low-pass digital filtering algorithm, such as a first-order inertia filter or a higher Butterworth filter, is applied to the data queue, so as to effectively suppress high-frequency noise and random electromagnetic interference mixed in the sampling process, and a waveform-smoothed filtered data queue is obtained. Then, according to the specific type of the electrical parameter currently processed, such as direct current or alternating voltage, a unique calibration coefficient and zero point offset corresponding thereto are obtained from a lookup table. Using these compensation coefficients, accurate scaling and zero compensation operations are performed on the filtered data queue, and a compensated data queue that can truly reflect the physical world value is obtained. Finally, each data point in the compensation queue is divided by the rated reference value of the corresponding parameter type, the normalization process is completed, and the normalized data obtained in a plurality of consecutive sampling periods are arranged in rows, and finally an M-row-by-N-column electrical matrix is constructed. The matrix becomes the standardized and dimensionless data basis relied on by the subsequent threshold comparison step.
[0030] Figure 3 A flowchart of performing a self-recovery operation is shown.
[0031] According to the embodiment of the present application, as Figure 3 shown, the all-electrical parameters of the electrical matrix and all hierarchical thresholds of the multi-level threshold mapping table are compared in a loop, specifically including: Extracting the latest column vector data of the electrical matrix to obtain the latest electrical parameters corresponding to all electrical parameter types; According to the electrical parameter type, all hierarchical thresholds corresponding thereto in the multi-level threshold mapping table are compared in turn in the order from low to high; If the electrical parameter exceeds any hierarchical threshold, the corresponding hierarchical flag bit is set to logic one; This process is looped until all parameters are compared with all corresponding thresholds, and a flag bit vector containing all comparison results is output.
[0032] It should be noted that the embodiment provides a specific implementation process of the cycle threshold comparison. First, the latest column of vector data is extracted from the generated electrical matrix, which contains the latest state values of all monitored electrical parameters at the latest sampling time, providing data input for real-time decision-making. Subsequently, the parameter type of each electrical parameter in the vector is traversed, and all levels of threshold values, including early warning, first-level, second-level and fuse threshold values, are found from the multi-level threshold mapping table. The comparison operation is performed in order from low to high safety criticality of the threshold value, which is an ordered and step-by-step advancing logical judgment. Once it is found that a real-time parameter value exceeds a certain level threshold value being compared, the system immediately sets the binary flag corresponding to the parameter and the specific level in the internal flag vector to logic "1", marking the occurrence of this abnormal event. The process of cycle comparison continues until all parameters in the vector have completed comprehensive comparison with all corresponding threshold values, and finally outputs a comprehensive flag vector containing all parameters and all level comparison results. The vector completely encodes the current safety state level of the system and is the direct decision basis for triggering subsequent corresponding protection actions.
[0033] According to the embodiment of the application, the trigger of the first-level protection flag and the execution of the self-healing operation specifically include: In response to the flag vector indicating that any parameter exceeds its first-level threshold value, triggering the first-level protection flag; Generating a first control instruction and sending it to the pulse width modulation driver to gradually reduce the duty cycle of the IGBT conduction signal; Generating a second control instruction and sending it to the direct current circuit breaker or the alternating current circuit breaker to pre-power the preheating of the split excitation release coil; Monitoring the change trend of the electrical parameter, and if the parameter returns to normal, the pre-power state is released and the normal driving of the IGBT is restored.
[0034] It should be noted that the embodiment provides a specific process of self-healing operation after the primary protection flag is triggered. When the flag bit vector output by the loop comparison step clearly indicates that any one parameter exceeds the primary protection threshold set for it, the primary protection flag is triggered in response, indicating that the system enters the primary fault suppression mode. As an embodiment, a first digital control instruction is generated and sent to a pulse width modulator for driving an insulated gate bipolar transistor (IGBT); the output pulse duty cycle is gradually reduced to smoothly limit the current flowing through the IGBT, so as to attempt to pull the abnormal parameter back to the normal safe interval. At the same time, a second control instruction is generated and sent to a DC side or AC side circuit breaker shunt coil drive circuit, so that the shunt coil is preheated and enters a critical action state, which is used to shorten the mechanical response time required for the subsequent complete disconnection of the circuit breaker. At the same time of executing the above operation, the system continues to monitor the real-time change trend of the related electrical parameters, and if the parameter is successfully restored to normal within the preset time window, the system will automatically remove the pre-power-on state of the circuit breaker and restore the driving signal of the IGBT to the normal mode, thereby realizing an intelligent and reversible self-healing function and avoiding unnecessary complete shutdown.
[0035] According to the embodiment of the present application, the secondary protection flag is triggered, and the shutdown operation is performed, specifically including: The secondary protection flag is triggered in response to the flag bit vector indicating that any parameter exceeds the secondary threshold thereof; A third control instruction is generated and sent to a pulse width modulation driver to stop the driving signal of the IGBT and cut off the electronic circuit; A fourth control instruction is generated and sent to a DC circuit breaker or an AC circuit breaker to output a continuous breaking driving signal, so that the circuit breaker performs mechanical breaking operation.
[0036] It should be noted that the embodiment provides a specific implementation process of performing the shutdown operation. The starting condition of the shutdown operation is to confirm that at least one key electrical parameter in the flag bit vector generated by the cycle comparison step has exceeded the more stringent secondary protection threshold set for it, thereby entering the emergency shutdown mode. As an implementation manner, a third high-priority control instruction is generated, which is sent to the pulse width modulation drive circuit of the insulated gate bipolar transistor (IGBT) in the shortest path and with the highest execution priority, to block all output drive pulses, so that all IGBT power switch devices are actively and completely shut down, and the path of the fault current is cut off from the power electronic level first. At the same time, a fourth control instruction is generated in parallel, which is sent to the split excitation trip coil drive circuit of the DC circuit breaker or the AC circuit breaker of the loop where the fault occurs, to drive it to output a stable split signal with sufficient power and duration, to make the operating mechanism of the circuit breaker act quickly to complete the mechanical split operation. Thus, after the IGBT provides an initial rapid current cutoff, a clear and reliable physical isolation breakpoint is established by the circuit breaker. The embodiment adopts a double protection mechanism of active shutdown by semiconductor devices and split by mechanical circuit breakers, which greatly improves the final processing speed and absolute reliability for serious faults such as short circuit, and ensures the safety of the core equipment of the system.
[0037] According to the embodiment of the application, the operation log is analyzed to analyze the fault root cause and frequency, and the multi-level threshold mapping table is dynamically adjusted, and specifically includes: Based on a preset statistical period, the occurrence frequency of a specific type of fault and the electrical parameter characteristics before and after the occurrence of the fault are calculated; If the fault occurs frequently and the parameters thereof do not exceed the currently set early warning threshold before the fault, the early warning threshold and the first level threshold of the parameter are automatically adjusted lower; If the fault occurs frequently and the parameters thereof float around the corresponding threshold, the early warning threshold and the first level threshold of the corresponding parameter are automatically adjusted higher; The adjusted new threshold mapping table is written back to the specified address, and the adaptive learning optimization is completed.
[0038] It should be noted that the embodiment provides a threshold dynamic adjustment mechanism for enabling the system to have adaptive optimization capability. Based on continuous operation and accumulation of a large number of operation logs, the dynamic adjustment mechanism is established. First, based on a preset statistical time period, for example, one week or 24 hours, the operation logs are automatically analyzed by big data analysis. The occurrence frequency of events corresponding to a specific type of fault code is calculated, and the waveform features and statistical features of the related electrical parameters in a time window before and after each event are extracted. Then, based on the built-in intelligent algorithm, a decision is made according to the analysis results. As an implementation, if it is found that a certain type of fault frequently occurs, and the pre-posed parameters always fail to trigger the current warning threshold before reaching the fault point, it indicates that the existing threshold setting is too sluggish, and then the setting values of the warning threshold and the first protection threshold of the key parameter are automatically adjusted to lower values, thereby improving the sensitivity of the system to such potential risks and achieving earlier warning and intervention. If the system frequently triggers the protection action due to normal fluctuations of the power grid or load switching and other minor disturbances, but does not cause real danger, it indicates that the existing threshold may be too sensitive, and then the warning and first threshold of the corresponding parameter are automatically adjusted to higher values, so as to enhance the anti-interference ability and running stability of the system, and reduce the false action. Finally, all the adjusted new threshold parameters are integrated into an updated multi-level threshold mapping table, and written back to the specified address of the non-volatile memory for saving, thereby completing a complete adaptive learning and optimization closed loop based on historical operation data.
[0039] It is worth mentioning that after the physical fusing operation is performed, it further includes: When the fuse is physically fused due to current overlimit, it is judged whether the fault branch is isolated by detecting the DC contactor auxiliary contact or voltage sensor signal; If it is isolated, a fault alarm message is generated and sent, including at least the fault device identifier, the fault type code, and the electrical parameters at the fault time; Switch the indicator light on the control panel to a red long bright state.
[0040] It should be noted that in this embodiment, when the current in the circuit exceeds the melting characteristic curve limit of the fuse, causing irreversible physical melting, by continuous monitoring, it is confirmed that the branch current has dropped to zero and cannot be restored. In order to confirm that the fault has been completely isolated, by querying the auxiliary contact state signal of the DC contactor on the branch, or by analyzing the sampling value of the voltage sensor installed at the back end of the fuse to determine whether there is voltage across it, the logic and electrical double confirmation that the fault branch has been safely isolated from the system. After confirming the isolation, a fault alarm message in a specified format is automatically generated. The message content at least includes the unique device identifier of the failed PCS module, the standard fault type code determined according to the phenomenon, and the snapshot data of all electrical parameters recorded at the moment of failure. The message is then uploaded to the upper energy management system or cluster control center through the communication interface, such as CAN bus or Ethernet interface, so that the operation and maintenance personnel can remotely, timely and accurately understand the fault situation. At the same time, the status of the indicator light on the control panel is changed from normal green flashing or constant to red constant state, providing visual indication to the on-site maintenance personnel.
[0041] It is worth mentioning that after performing the self-healing operation, it also includes: In response to the fault clearing or receiving a reset instruction, performing a system self-check, including at least detecting the breaker trip position, fuse status and IGBT drive function; If all self-checks pass, allow the breaker to reset and close, and clear the internal fault flag.
[0042] It should be noted that in this embodiment, in response to the complete removal of the fault source of the first level protection action, and / or receiving an explicit reset instruction from the remote monitoring background or the local operation panel. First start a comprehensive internal self-check sequence, which at least includes confirming that the breaker is indeed in a reliable trip position by reading the auxiliary contact signal of the breaker, determining whether the fuse remains intact and is not blown by injecting a weak detection signal into the fuse circuit and measuring its loop resistance, and verifying whether the gate drive function of the insulated gate bipolar transistor is completely normal through a dedicated drive circuit test program. Only when all the above self-check items pass successfully, it is finally determined that the system has the condition to safely restart, and then the breaker on the fault circuit is allowed to perform the electric or manual reset closing operation, and the corresponding fault flag bit and alarm state in its internal software are completely cleared. After completing these steps, it formally exits the fault handling mode and resumes the continuous data acquisition and monitoring cycle; and restores to the normal grid-connected or off-grid operation mode, thereby ensuring the safety and reliability of the entire recovery process.
[0043] It is worth mentioning that it also includes: In response to the system grid-connected operation state, a health score is generated based on the electrical matrix and a multi-level threshold mapping table; The health score is uploaded to a cloud management platform; If the health score is lower than a preset threshold, a preventive maintenance reminder is triggered, and a maintenance strategy is recommended.
[0044] It should be noted that in the present embodiment, when the system is in a grid-connected operation state, a quantitative score value that comprehensively reflects the health degree of the operation state is calculated according to the actual values of various electrical parameters, in combination with a multi-level threshold mapping table, through a built-in health degree evaluation algorithm. The score value comprehensively considers multiple factors such as parameter deviation degree, fluctuation frequency, historical fault record and threshold margin, and is periodically or triggerably uploaded to a remote cloud energy management platform in the form of an encrypted data packet through a built-in communication module of the system. Then, the health score is compared with a preset safe operation threshold, and if it is found that the score is continuously or significantly lower than the safe threshold, a preventive maintenance reminder message is automatically generated. In combination with historical operation data and a fault knowledge base, a targeted maintenance strategy is intelligently recommended, including but not limited to suggesting checking the connection state of a specific circuit, cleaning a radiator, calibrating a sensor or replacing an aging device in advance, so as to realize the upgrade of the operation and maintenance mode from passive protection to active prevention, and further improve the reliability and economy of the system throughout its life cycle.
[0045] Figure 4 A block diagram of a control system of a self-contained energy storage PCS with AC / DC circuit breaker is shown.
[0046] As Figure 4 shown, the second aspect of the present application discloses a control system 4 of a self-contained energy storage PCS with AC / DC circuit breaker, comprising a memory 41 and a processor 42, the memory comprising a control method program of a self-contained energy storage PCS with AC / DC circuit breaker, the control method program of the self-contained energy storage PCS with AC / DC circuit breaker being executed by the processor to implement the following steps: Based on a preset detection module, DC side electrical information and AC side electrical information are synchronously collected; The electrical information is subjected to preset data preprocessing to obtain an electrical matrix; Based on a preset storage address, a multi-level threshold mapping table that is updated in real time is obtained; According to all electrical parameters of the electrical matrix and all level thresholds of the multi-level threshold mapping table, a cyclic comparison is performed; If any electrical parameter exceeds the corresponding early warning threshold, an early warning flag is triggered, and an early warning log is recorded; If any DC electrical parameter or any AC electrical parameter exceeds the corresponding first-level threshold, a first-level protection flag is triggered, and a self-healing operation is performed; If any DC electrical parameter or any AC electrical parameter exceeds the corresponding secondary threshold value, a secondary protection flag is triggered, and a shutdown operation is performed; If any DC electrical parameter or any AC electrical parameter exceeds the corresponding fuse threshold value, a fuse flag is triggered, and a physical fuse operation is performed; An operation log is recorded, and a multi-level threshold mapping table is dynamically adjusted based on analysis of a root cause and frequency of failure.
[0047] It should be noted that the DC side electrical information at least includes DC voltage and DC current; the AC side electrical information at least includes AC voltage and AC frequency of three-phase AC power; the data preprocessing at least includes digital filtering, calibration compensation and normalization processing; the self-recovery operation at least includes IGBT current limiting and circuit breaker pre-shutdown; the shutdown operation at least includes IGBT shutdown and circuit breaker shutdown; and the physical fuse operation at least includes physical fuse of a fuse.
[0048] In the embodiment, first, through internal preset detection modules such as a Hall sensor and a voltage and current transformer, voltage and current of a DC side of an energy storage unit and three-phase voltage and frequency of an AC side of a power grid are synchronously and real-timely collected to ensure instantaneous consistency of the obtained data. Subsequently, the collected original electrical information is sent to a data processing unit to perform a series of preset preprocessing steps. The preprocessing steps include application of a digital filtering algorithm to eliminate high-frequency noise interference, calling of a calibration coefficient stored in a non-volatile memory for accuracy compensation of a measured value, and division of each physical quantity by a rated value to complete normalization processing, and finally generation of an electrical matrix capable of comprehensively representing a current operating state of the system. At the same time, a multi-level threshold mapping table capable of being real-timely updated is called from a preset storage address, wherein the multi-level threshold mapping table defines specific threshold limits corresponding to multiple levels such as pre-warning, primary protection, secondary protection and final fuse protection. The core control logic of the embodiment is to compare and judge all real-time parameters in the electrical matrix with all level threshold values in the threshold mapping table one by one and in a loop: if any parameter exceeds a pre-warning threshold value, a pre-warning flag is triggered and a log is recorded; if any AC / DC parameter exceeds a primary threshold value, a flag is triggered and a self-recovery operation including IGBT current limiting and circuit breaker pre-shutdown is started; if the parameter is further deteriorated and exceeds a secondary threshold value, a more thorough IGBT and circuit breaker cooperative shutdown operation is performed; and if a fuse threshold value is reached, ultimate protection is realized by physical fuse of a fuse. All operations are recorded in a log, and the system traces a root cause of failure and counts a frequency of occurrence based on analysis of the logs, and thus can adaptively and dynamically adjust the threshold mapping table to realize continuous optimization of a protection characteristic of the system.
[0049] According to the embodiment of the application, the preset data preprocessing on the electrical information to obtain the electrical matrix specifically includes: store the electrical parameters into preset data queues according to the first-in-first-out rule; According to the data queue, a filtered data queue is obtained based on a preset low-pass digital filtering algorithm; According to the type of the electrical parameter, a calibration coefficient is obtained; According to the calibration coefficient, the filtered data queue is calibrated and compensated to obtain a compensated data queue; According to the compensated data queue, the normalized data is obtained by dividing the compensated data queue by the rated value corresponding to the type of the electrical parameter, and an electrical matrix is generated.
[0050] It should be noted that the embodiment provides a specific implementation process of data preprocessing and generation of an electrical matrix. In the embodiment, the original electrical parameters synchronously collected are first stored in respective first-in-first-out data queues according to a strict order, thereby ensuring the time sequence and integrity of data processing. Then, a preset low-pass digital filtering algorithm, such as a first-order inertia filtering or a higher-level Butterworth filtering, is applied to the data queue, thereby effectively suppressing the high-frequency noise and random electromagnetic interference mixed in the sampling process to obtain a waveform-smooth filtered data queue. Then, according to the specific type of the electrical parameter being processed, such as a direct current or an alternating voltage, a unique calibration coefficient and a zero-point offset corresponding thereto are obtained from a lookup table. Using these compensation coefficients, accurate scaling and zero-point compensation operations are performed on the filtered data queue to obtain a compensated data queue that can truly reflect the physical world value. Finally, each data point in the compensated queue is divided by the rated reference value of the corresponding parameter type to complete the normalization process, and the normalized data obtained in consecutive sampling periods are arranged in rows to finally construct an M-row-by-N-column electrical matrix. The matrix becomes the standardized and dimensionless data basis relied on by the subsequent threshold comparison step.
[0051] According to the embodiment of the present application, the loop comparison is performed according to all electrical parameters of the electrical matrix and all hierarchical thresholds of the multi-level threshold mapping table, and specifically includes: The latest column vector data of the electrical matrix is extracted to obtain the latest electrical parameters corresponding to all types of electrical parameters; According to the type of the electrical parameter, all hierarchical thresholds corresponding thereto in the multi-level threshold mapping table are compared in order from low to high; If the electrical parameter exceeds any hierarchical threshold, the corresponding hierarchical flag bit is set to logic one; The process is looped until all parameters are compared with all corresponding thresholds, and a flag bit vector containing all comparison results is output.
[0052] It should be noted that the embodiment provides a specific implementation process of the cycle threshold comparison. First, the latest column of vector data is extracted from the generated electrical matrix, which contains the latest state values of all monitored electrical parameters at the latest sampling time, providing data input for real-time decision-making. Subsequently, the parameter type of each electrical parameter in the vector is traversed, and all levels of threshold values, including early warning, first-level, second-level and fuse threshold values, are found from the multi-level threshold mapping table. The comparison operation is performed in order from low to high safety criticality of the threshold value, which is an ordered and step-by-step advancing logical judgment. Once it is found that a real-time parameter value exceeds a certain level threshold value being compared, the system immediately sets the binary flag corresponding to the parameter and the specific level in the internal flag vector to logic "1", marking the occurrence of this abnormal event. The process of cycle comparison continues until all parameters in the vector have completed comprehensive comparison with all corresponding threshold values, and finally outputs a comprehensive flag vector containing all parameters and all level comparison results. The vector completely encodes the current safety state level of the system and is the direct decision basis for triggering subsequent corresponding protection actions.
[0053] According to the embodiment of the application, the trigger of the first-level protection flag and the execution of the self-healing operation specifically include: In response to the flag vector indicating that any parameter exceeds its first-level threshold value, triggering the first-level protection flag; Generating a first control instruction and sending it to the pulse width modulation driver to gradually reduce the duty cycle of the IGBT conduction signal; Generating a second control instruction and sending it to the direct current circuit breaker or the alternating current circuit breaker to pre-power the preheating of the split excitation release coil; Monitoring the change trend of the electrical parameter, and if the parameter returns to normal, the pre-power state is released and the normal driving of the IGBT is restored.
[0054] It should be noted that the embodiment provides a specific process of self-healing operation after the primary protection flag is triggered. When the flag bit vector output by the loop comparison step clearly indicates that any one parameter exceeds the primary protection threshold set for it, the primary protection flag is triggered in response, indicating that the system enters the primary fault suppression mode. As an embodiment, a first digital control instruction is generated and sent to a pulse width modulator for driving an insulated gate bipolar transistor (IGBT); the output pulse duty cycle is gradually reduced to smoothly limit the current flowing through the IGBT, so as to attempt to pull the abnormal parameter back to the normal safe interval. At the same time, a second control instruction is generated and sent to a DC side or AC side circuit breaker shunt coil drive circuit, so that the shunt coil is preheated and enters a critical action state, which is used to shorten the mechanical response time required for the subsequent complete disconnection of the circuit breaker. At the same time of executing the above operation, the system continues to monitor the real-time change trend of the related electrical parameters, and if the parameter is successfully restored to normal within the preset time window, the system will automatically remove the pre-power-on state of the circuit breaker and restore the driving signal of the IGBT to the normal mode, thereby realizing an intelligent and reversible self-healing function and avoiding unnecessary complete shutdown.
[0055] According to the embodiment of the present application, the secondary protection flag is triggered, and the shutdown operation is performed, specifically including: In response to the flag bit vector indicating that any parameter exceeds the secondary threshold, the secondary protection flag is triggered; A third control instruction is generated and sent to a pulse width modulation driver to stop the driving signal of the IGBT and cut off the electronic circuit; A fourth control instruction is generated and sent to a DC circuit breaker or an AC circuit breaker to output a continuous breaking driving signal, so that the circuit breaker performs mechanical breaking operation.
[0056] It should be noted that the embodiment provides a specific implementation process of performing the shutdown operation. The starting condition of the shutdown operation is to confirm that at least one key electrical parameter in the flag bit vector generated by the cycle comparison step has exceeded the more stringent secondary protection threshold set for it, thereby entering the emergency shutdown mode. As an implementation manner, a third high-priority control instruction is generated, which is sent to the pulse width modulation drive circuit of the insulated gate bipolar transistor (IGBT) in the shortest path and with the highest execution priority, to block all output drive pulses, so that all IGBT power switch devices are actively and completely shut down, and the path of the fault current is cut off from the power electronic level first. At the same time, a fourth control instruction is generated in parallel, which is sent to the split excitation trip coil drive circuit of the DC circuit breaker or the AC circuit breaker of the loop where the fault occurs, to drive it to output a stable split signal with sufficient power and duration, to make the operating mechanism of the circuit breaker act quickly to complete the mechanical split operation. Thus, after the IGBT provides an initial rapid current cutoff, a clear and reliable physical isolation breakpoint is established by the circuit breaker. The embodiment adopts a double protection mechanism of active shutdown by semiconductor devices and split by mechanical circuit breakers, which greatly improves the final processing speed and absolute reliability for serious faults such as short circuit, and ensures the safety of the core equipment of the system.
[0057] According to the embodiment of the present application, the operation log is analyzed to analyze the root cause and frequency of the fault, and the multi-level threshold mapping table is dynamically adjusted, specifically including: Based on the preset statistical period, the occurrence frequency of a specific type of fault and the electrical parameter characteristics before and after the occurrence are calculated; If the fault occurs frequently and the parameters do not exceed the currently set warning threshold before the fault, the warning threshold and the first threshold of the parameter are automatically adjusted lower; If the fault occurs frequently and the parameters float around the corresponding threshold, the warning threshold and the first threshold of the corresponding parameter are automatically adjusted higher; The adjusted new threshold mapping table is written back to the specified address, and the adaptive learning optimization is completed.
[0058] It should be noted that the embodiment provides a threshold dynamic adjustment mechanism for enabling the system to have adaptive optimization capability. Based on continuous operation and accumulation of a large number of operation logs, the dynamic adjustment mechanism is established. First, based on a preset statistical time period, for example, one week or 24 hours, the operation logs are automatically analyzed by big data analysis. The occurrence frequency of events corresponding to a specific type of fault code is calculated, and the waveform features and statistical features of the related electrical parameters within a time window before and after each event are extracted. Then, based on the built-in intelligent algorithm, a decision is made according to the analysis results. As an implementation, if it is found that a certain type of fault frequently occurs, and the pre-posed parameters always fail to trigger the current warning threshold before reaching the fault point, it indicates that the existing threshold setting is too sluggish, and then the setting values of the warning threshold and the first protection threshold of the key parameter are automatically adjusted to lower values, thereby improving the sensitivity of the system to such potential risks and achieving earlier warning and intervention. If the system frequently triggers the protection action due to normal fluctuations of the power grid or load switching and other minor disturbances, but does not cause real danger, it indicates that the existing threshold may be too sensitive, and then the warning and first threshold of the corresponding parameter are automatically adjusted to higher values, so as to enhance the anti-interference ability and running stability of the system, and reduce the false action. Finally, all the adjusted new threshold parameters are integrated into an updated multi-level threshold mapping table, and written back to the specified address of the non-volatile memory for saving, thereby completing a complete adaptive learning and optimization closed loop based on historical operation data.
[0059] It is worth mentioning that after the physical fusing operation is performed, it further includes: After the fuse is physically fused due to current overrun, it is judged whether the fault branch is isolated by detecting the DC contactor auxiliary contact or voltage sensor signal; If it is isolated, a fault alarm message is generated and sent, including at least the fault device identifier, the fault type code, and the electrical parameters at the fault time; Switch the indicator light on the control panel to a red long bright state.
[0060] It should be noted that in this embodiment, when the current in the circuit exceeds the melting characteristic curve limit of the fuse, causing irreversible physical melting, by continuous monitoring, it is confirmed that the branch current has dropped to zero and cannot be restored. In order to confirm that the fault has been completely isolated, by querying the auxiliary contact state signal of the DC contactor on the branch, or by analyzing the sampling value of the voltage sensor installed at the back end of the fuse to determine whether there is voltage across it, the logic and electrical double confirmation that the fault branch has been safely isolated from the system. After confirming the isolation, a fault alarm message in a specified format is automatically generated. The message content at least includes the unique device identifier of the failed PCS module, the standard fault type code determined according to the phenomenon, and the snapshot data of all electrical parameters recorded at the moment of failure. The message is then uploaded to the upper energy management system or cluster control center through the communication interface, such as CAN bus or Ethernet interface, so that the operation and maintenance personnel can remotely, timely and accurately understand the fault situation. At the same time, the status of the indicator light on the control panel is changed from normal green flashing or constant to red constant state, providing visual indication to the on-site maintenance personnel.
[0061] It is worth mentioning that after performing the self-healing operation, it also includes: In response to the fault clearing or receiving a reset instruction, performing a system self-check, including at least detecting the breaker trip position, fuse status and IGBT drive function; If the self-check is passed, the breaker is allowed to reset and close, and the internal fault flag is cleared.
[0062] It should be noted that in this embodiment, in response to the complete removal of the fault source after the first level protection action, and / or receiving a clear reset instruction from the remote monitoring background or local operation panel. First start a comprehensive internal self-check sequence, which at least includes confirming that the breaker is indeed in a reliable trip position by reading the auxiliary contact signal of the breaker, determining whether the fuse remains intact and is not melted by injecting a weak detection signal into the fuse circuit and measuring its loop resistance, and verifying whether the gate drive function of the insulated gate bipolar transistor is completely normal through a dedicated drive circuit test program. Only when all the above self-check items are successfully passed, it is finally determined that the system has the condition to safely restart, and then the breaker on the fault circuit is allowed to perform the electric or manual reset closing operation, and the corresponding fault flag bit and alarm state in the internal software are completely cleared. After completing these steps, it formally exits the fault handling mode and resumes the continuous data acquisition and monitoring cycle; and restores to the normal grid-connected or off-grid operation mode, thereby ensuring the safety and reliability of the entire recovery process.
[0063] It is worth mentioning that it also includes: In response to the system grid-connected operation state, a health score is generated based on the electrical matrix and a multi-level threshold mapping table; The health score is uploaded to a cloud management platform; If the health score is lower than a preset threshold, a preventive maintenance reminder is triggered, and a maintenance strategy is recommended.
[0064] It should be noted that in the present embodiment, when the system is in a grid-connected operation state, a quantitative score value that comprehensively reflects the health degree of the operation state is calculated according to the actual values of various electrical parameters, in combination with a multi-level threshold mapping table, through a built-in health degree evaluation algorithm. The score value comprehensively considers multiple factors such as parameter deviation degree, fluctuation frequency, historical fault records and threshold margin, and is periodically or triggeredly uploaded to a remote cloud energy management platform in the form of an encrypted data packet through a built-in communication module of the system. Then, the health score is compared with a preset safe operation threshold, and if it is found that the score is continuously or significantly lower than the safe threshold, a preventive maintenance reminder message is automatically generated. In combination with historical operation data and a fault knowledge base, a targeted maintenance strategy is intelligently recommended, including but not limited to suggesting checking the connection state of a specific loop, cleaning a radiator, calibrating a sensor or replacing an aging device in advance, so as to realize the upgrade of the operation and maintenance mode from passive protection to active prevention, and further improve the reliability and economy of the system throughout its life cycle.
[0065] The third aspect of the present application provides a computer readable storage medium, wherein the computer readable storage medium comprises a control method program of a self-contained AC / DC circuit breaker energy storage PCS, and the control method program of the self-contained AC / DC circuit breaker energy storage PCS is executed by a processor to implement the steps of the control method of the self-contained AC / DC circuit breaker energy storage PCS according to any one of the above.
[0066] In summary, the present application provides a control method, system and storage medium of a self-contained AC / DC circuit breaker energy storage PCS. Firstly, electrical parameters on the DC side and the AC side are synchronously collected, and the collected data is preprocessed to form a standardized electrical matrix. Then, all parameters in the electrical matrix are compared with corresponding early warning thresholds, first-level thresholds, second-level thresholds and fuse thresholds in a multi-level threshold mapping table in a loop. If the early warning threshold is exceeded, a log is recorded, if the first-level threshold is exceeded, a self-healing operation is performed, if the second-level threshold is exceeded, a shutdown operation is performed, and if the fuse threshold is reached, a physical fuse is triggered. At the same time, all operation logs are recorded and the threshold mapping table is dynamically optimized by analyzing the log data. The present application improves the fault response speed and protection accuracy through multi-level threshold comparison and cooperative protection mechanism, enhances the stability and reliability under different working conditions through adaptive learning ability, and at the same time reduces the life cycle cost.
[0067] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application or the parts of the technical solutions that essentially contribute to the prior art or the parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The aforementioned storage medium includes a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.
[0068] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.
Claims
1. A control method for an energy storage PCS with integrated AC / DC circuit breaker, characterized in that, The method includes: Based on the preset detection module, DC side electrical information and AC side electrical information are collected simultaneously; Electrical information is preprocessed according to preset parameters to obtain an electrical matrix; Based on the preset storage address, a multi-level threshold mapping table is obtained that is updated in real time; A cyclic comparison is performed based on all electrical parameters of the electrical matrix and all level thresholds of the multi-level threshold mapping table; If any electrical parameter exceeds the corresponding warning threshold, a warning flag is triggered and a warning log is recorded. If any DC electrical parameter or any AC electrical parameter exceeds the corresponding first-level threshold, the first-level protection flag is triggered, and a self-healing operation is performed. If any DC electrical parameter or any AC electrical parameter exceeds the corresponding secondary threshold, the secondary protection flag is triggered, and a shutdown operation is performed. If any DC electrical parameter or any AC electrical parameter exceeds the corresponding fuse threshold, the fuse flag is triggered, and a physical fuse operation is performed. Record operation logs, analyze the root causes and frequency of failures based on the operation logs, and dynamically adjust the multi-level threshold mapping table.
2. The control method for an energy storage PCS with integrated AC / DC circuit breaker according to claim 1, characterized in that, The step of performing preset data preprocessing on electrical information to obtain an electrical matrix specifically includes: Electrical parameters are stored in a preset data queue according to a first-in-first-out (FIFO) rule. Based on the data queue, a filtered data queue is obtained using a preset low-pass digital filtering algorithm; The calibration coefficient is obtained based on the type of electrical parameter; The filtered data queue is calibrated or zero-point compensated according to the calibration coefficient to obtain a compensated data queue. Based on the compensation data queue, the data is divided by the rated value corresponding to the electrical parameter type to obtain normalized data and generate an electrical matrix.
3. The control method for an energy storage PCS with integrated AC / DC circuit breaker according to claim 1, characterized in that, The step of performing a cyclic comparison based on all electrical parameters of the electrical matrix and all level thresholds of the multi-level threshold mapping table specifically includes: Extract the latest column vector data of the electrical matrix to obtain the latest electrical parameters corresponding to all electrical parameter types; Based on the electrical parameter type, it is compared sequentially with all the corresponding level thresholds in the multi-level threshold mapping table, in order from low to high. If the electrical parameter exceeds the threshold of any level, the corresponding level flag bit will be set to logic one. Repeat this process until all parameters have been compared with all corresponding thresholds, and output a flag vector containing all comparison results.
4. The control method for an energy storage PCS with integrated AC / DC circuit breaker according to claim 3, characterized in that, The triggering of the first-level protection flag and the execution of the self-healing operation specifically include: In response to the flag bit vector indicating that any parameter exceeds its first-level threshold, the first-level protection flag is triggered; The first control command is generated and sent to the pulse width modulation driver to gradually reduce the duty cycle of the IGBT's on signal; A second control command is generated and sent to the DC circuit breaker or AC circuit breaker to pre-energize and preheat the shunt trip coil; Monitor the changing trend of electrical parameters. If the parameters return to normal, deactivate the pre-energization state and restore normal IGBT drive.
5. The control method for an energy storage PCS with integrated AC / DC circuit breaker according to claim 3, characterized in that, The triggering of the secondary protection flag and the execution of the shutdown operation specifically include: The secondary protection flag is triggered in response to the flag bit vector indicating that any parameter exceeds its secondary threshold; A third control command is generated and sent to the pulse width modulation driver to stop the IGBT drive signal and cut off the electronic circuit. A fourth control command is generated and sent to the DC circuit breaker or AC circuit breaker, outputting a continuous disconnection drive signal to cause the circuit breaker to perform a mechanical disconnection operation.
6. The control method for an energy storage PCS with integrated AC / DC circuit breaker according to claim 1, characterized in that, The method of dynamically adjusting the multi-level threshold mapping table based on operation log analysis of fault root causes and frequency specifically includes: Based on a preset statistical period, the frequency of occurrence of a specific type of fault and the electrical parameter characteristics before and after its occurrence are calculated. If faults occur frequently and the parameters have not exceeded the currently set warning thresholds before the faults occur, the warning threshold and first-level threshold of the parameter will be automatically lowered. If faults occur frequently and their parameters fluctuate around the corresponding threshold, the warning threshold and first-level threshold of the corresponding parameters will be automatically increased. Write the adjusted new threshold mapping table back to the specified address to complete the adaptive learning optimization.
7. A control system for an energy storage PCS with integrated AC / DC circuit breaker, characterized in that, The system includes a memory and a processor. The memory includes a control method program for an energy storage PCS with an integrated AC / DC circuit breaker. When the processor executes the control method program for the energy storage PCS with an integrated AC / DC circuit breaker, it performs the following steps: Based on the preset detection module, DC side electrical information and AC side electrical information are collected simultaneously; Electrical information is preprocessed according to preset parameters to obtain an electrical matrix; Based on the preset storage address, a multi-level threshold mapping table is obtained that is updated in real time; A cyclic comparison is performed based on all electrical parameters of the electrical matrix and all level thresholds of the multi-level threshold mapping table; If any electrical parameter exceeds the corresponding warning threshold, a warning flag is triggered and a warning log is recorded. If any DC electrical parameter or any AC electrical parameter exceeds the corresponding first-level threshold, the first-level protection flag is triggered, and a self-healing operation is performed. If any DC electrical parameter or any AC electrical parameter exceeds the corresponding secondary threshold, the secondary protection flag is triggered, and a shutdown operation is performed. If any DC electrical parameter or any AC electrical parameter exceeds the corresponding fuse threshold, the fuse flag is triggered, and a physical fuse operation is performed. Record operation logs, analyze the root causes and frequency of failures based on the operation logs, and dynamically adjust the multi-level threshold mapping table.
8. The control system of an energy storage PCS with integrated AC / DC circuit breaker according to claim 7, characterized in that, The step of performing preset data preprocessing on electrical information to obtain an electrical matrix specifically includes: Electrical parameters are stored in a preset data queue according to a first-in-first-out (FIFO) rule. Based on the data queue, a filtered data queue is obtained using a preset low-pass digital filtering algorithm; The calibration coefficient is obtained based on the type of electrical parameter; The filtered data queue is calibrated or zero-point compensated according to the calibration coefficient to obtain a compensated data queue. Based on the compensation data queue, the data is divided by the rated value corresponding to the electrical parameter type to obtain normalized data and generate an electrical matrix.
9. The control system of an energy storage PCS with integrated AC / DC circuit breaker according to claim 7, characterized in that, The step of performing a cyclic comparison based on all electrical parameters of the electrical matrix and all level thresholds of the multi-level threshold mapping table specifically includes: Extract the latest column vector data of the electrical matrix to obtain the latest electrical parameters corresponding to all electrical parameter types; Based on the electrical parameter type, it is compared sequentially with all the corresponding level thresholds in the multi-level threshold mapping table, in order from low to high. If the electrical parameter exceeds the threshold of any level, the corresponding level flag bit will be set to logic one. Repeat this process until all parameters have been compared with all corresponding thresholds, and output a flag vector containing all comparison results.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that, The computer-readable storage medium includes a control method program for an energy storage PCS with an integrated AC / DC circuit breaker. When the control method program for the energy storage PCS with an integrated AC / DC circuit breaker is executed by a processor, it implements the steps of the control method for the energy storage PCS with an integrated AC / DC circuit breaker as described in any one of claims 1 to 6.
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