New energy grid-connected cabinet state determination method based on real-time data

Abstract

This invention discloses a method for determining the status of a new energy grid-connected cabinet based on real-time data, relating to the field of new energy grid-connected cabinet monitoring technology. The method includes the following steps: real-time acquisition of 5-second real-time data and rated voltage and rated power parameters of the new energy grid-connected cabinet; based on the acquired data, the following judgment process is performed on the new energy grid-connected cabinet: an offline judgment is executed based on unchanged data, specifically: if the grid-connected cabinet meets the conditions of unchanged offline data and is currently in a fault state, the grid-connected cabinet is judged to be faulty; if it meets the conditions of unchanged offline data and is currently not in a fault state, the grid-connected cabinet is judged to be faulty. The new energy grid-connected cabinet status determination method proposed in this invention significantly improves the accuracy and reliability of new energy grid-connected cabinet status determination by comprehensively utilizing real-time data acquisition and analysis technology. It not only considers key parameters such as the real-time operating voltage, current, and power of the equipment, but also effectively avoids the misjudgment problems that may arise from traditional fixed threshold judgment methods.

Description

Technical Field

[0001] This invention relates to the field of monitoring technology for new energy grid-connected cabinets, specifically to a method for determining the status of new energy grid-connected cabinets based on real-time data. Background Technology

[0002] As the core equipment connecting photovoltaic and other new energy power generation systems to the power grid, the grid-connected cabinet plays a crucial role in ensuring the safe and stable operation of the entire grid-connected system through status monitoring. In new energy power generation scenarios, the grid-connected cabinet needs to process key data such as voltage, current, and power in real time during the power transmission and conversion process. The dynamic changes in these data directly reflect the operating status of the equipment. Accurate status determination not only provides timely anomaly warnings for operation and maintenance personnel but also effectively reduces power generation efficiency losses caused by equipment failures, which is of great significance for improving the reliability and economy of new energy grid-connected systems.

[0003] Currently, the industry commonly uses a fixed threshold comparison method to determine the offline status of grid-connected cabinets. This method directly compares real-time collected parameters such as voltage, current, and power of the cabinet with preset fixed thresholds to determine the equipment status. While this method is simple to operate and can meet basic status determination needs under normal operating conditions, in actual production environments, grid-connected cabinets may face complex situations such as data transmission fluctuations and instantaneous changes in operating conditions. Relying solely on fixed thresholds is prone to misjudgments; for example, it might mistakenly classify the equipment as operating normally even when data is offline. Furthermore, this method does not fully consider the diverse states of grid-connected cabinets in actual operation, making it difficult to comprehensively cover all possible situations, leading to discrepancies between the judgment results and the actual operating status, and failing to meet the requirements for high-precision and high-reliability status monitoring. Therefore, we propose a new energy grid-connected cabinet status determination method based on real-time data. Summary of the Invention

[0004] To address the aforementioned technical issues, this paper provides a method for determining the status of new energy grid-connected cabinets based on real-time data. This technical solution overcomes the limitations of the existing fixed threshold comparison method used in conventional technologies for determining the status of grid-connected cabinets. While this method is simple to operate and can achieve basic determination under normal operating conditions, in actual production, grid-connected cabinets are easily affected by data transmission fluctuations and instantaneous changes in operating conditions. This method is prone to misjudgment and does not fully consider the diverse operating states of the equipment, resulting in discrepancies between the determination results and the actual situation. Consequently, it is difficult to meet the requirements for high-precision and high-reliability status monitoring.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: The method for determining the status of new energy grid-connected cabinets based on real-time data includes the following steps: Real-time data collection of new energy grid-connected cabinets, including 5-second real-time data and rated voltage and rated power parameters; Based on the collected data, the following judgment process is performed on the new energy grid-connected cabinet: The data-unchanged offline judgment is performed as follows: if the grid-connected cabinet meets the data-unchanged offline condition and is currently in a fault state, the grid-connected cabinet is determined to be faulty; if the data-unchanged offline condition is met and the current state is not faulty, the grid-connected cabinet is determined to be offline; if the grid-connected cabinet does not meet the data-unchanged offline condition, then a normal operation judgment is performed. The normal operation judgment is performed as follows: it is determined whether the grid-connected cabinet meets the normal operation conditions and has been in operation for more than 1 minute. If it meets the conditions, it is determined to be in operation; if it meets the normal operation conditions but has not been in operation for more than 1 minute, it is maintained in the current state; if it does not meet the normal operation conditions, the circuit breaker signal is judged. The circuit breaker signal judgment is performed as follows: if there is a circuit breaker signal, a power anomaly judgment is performed; if there is no circuit breaker signal, a voltage anomaly judgment is performed. The power anomaly judgment is performed as follows: determine whether the power is abnormal and lasts for more than 1 minute. If there is no effective circuit breaker disconnection, the fault is determined. If there is an effective circuit breaker disconnection, the affected party is determined. Perform voltage anomaly detection, specifically: determine if the voltage is abnormal and lasts for more than 1 minute; if so, determine if it is a fault.

[0006] Preferably, in the data unchanged offline judgment, the specific process for determining whether the grid-connected cabinet meets the data unchanged offline condition is as follows: Collect voltage, current, and power data for multiple consecutive 5-second cycles, calculate the fluctuation amplitude of voltage, current, and power in each cycle, and determine whether the fluctuation amplitude of each parameter is within the preset fluctuation range. If the fluctuation range of voltage, current, and power is within this fluctuation range for three or more consecutive 5-second cycles, it is preliminarily determined that the data invariance condition is met. At the same time, retrieve the current status information recorded when the grid-connected cabinet was last determined. If the recorded information shows a fault status and the current data unchanged condition has been met, then the grid-connected cabinet is directly determined to be in a fault status. If the current recorded state is a non-fault state and the current data remains unchanged condition is met, it is necessary to further confirm whether the number of consecutive cycles that meet the data remains unchanged condition has reached 5. If it has, then the network cabinet is determined to be offline. If the fluctuation range of any parameter exceeds the preset fluctuation range, or if the number of consecutive cycles that meet the data invariance condition is less than 3, the grid-connected cabinet is deemed not to meet the data invariance offline requirement, and the normal operation judgment step is entered according to the judgment process.

[0007] Preferably, in the normal operation judgment, the specific criteria for the grid-connected cabinet to meet the normal operation conditions are as follows: The real-time voltage value for 5 seconds is within the range of 90% to 110% of the rated voltage, the real-time power value is within the range of 80% to 120% of the rated power, and the real-time current has no zero value and no abnormal peak value exceeding 150% of the rated current. During the judgment process, transient fluctuations in the external power grid need to be excluded. The exclusion method is as follows: after the first detection that the normal working conditions are met, continue to collect data for the next 5-second cycle. If the data in the next cycle still meets the normal working conditions, it is determined that there are no transient fluctuations in the external power grid. If the data in the next cycle does not meet the requirements, it is determined that there is interference and the detection needs to be restarted. For timing exceeding 1 minute, the timing starts when the normal working conditions are first detected and external power grid fluctuations are excluded. The real-time data collected is then checked every 5 seconds. If the check result shows that the normal working conditions are still met, the timing continues to accumulate. If the verification result shows that the normal working conditions are not met, the timing will be paused and will resume after the normal working conditions are detected again and the interference is eliminated. The network cabinet is only considered to be in operation when the accumulated time exceeds 1 minute. If the accumulated time does not exceed 1 minute, the previous state of the grid-connected cabinet will be maintained, and the duration of the current normal working conditions will be recorded.

[0008] Preferably, the specific process for determining the circuit breaker signal is as follows: The open / close status signal of the collector circuit breaker is obtained through the signal interaction channel associated with the grid-connected cabinet and the collector line. The criteria for determining "circuit breaker signal" are: within 10 consecutive seconds, the circuit breaker's open / closed status signal can be received stably, and the received signal is clear and complete, clearly indicating whether the circuit breaker is in a closed or open state. If the signal received within 10 seconds is unclear, incomplete, or the circuit breaker status cannot be clearly determined, the signal needs to be acquired again. The number of acquisitions should not exceed 3. If a clear signal cannot be acquired after 3 acquisitions, it should be temporarily treated as "no circuit breaker signal". The standard for determining "no circuit breaker signal" is: if no circuit breaker open / close status signal is received within 20 consecutive seconds, it is necessary to check whether the signal interaction channel between the grid-connected cabinet and the collector line is unobstructed. If a fault is found in the channel, it is determined that there is no circuit breaker signal, and the voltage abnormality judgment step is entered. If the inspection finds that the channel is clear but a signal still cannot be obtained, continue to wait for 10 seconds. If there is still no signal after 10 seconds, it is determined that there is no circuit breaker signal, and the voltage abnormality judgment step is entered.

[0009] Preferably, in the power anomaly judgment, the specific situations of power anomaly include: The real-time power value is zero in 5 seconds, the real-time power value is less than 30% of the rated power, or the fluctuation range of the real-time power exceeds 50% of the rated power within 3 consecutive 5-second cycles; The timing for whether the power anomaly lasts for more than 1 minute starts from the first time the power anomaly is detected, and then the real-time power data is checked every 5 seconds. If the check result shows that the power anomaly is still in a state of power anomaly, the timing continues to accumulate. If the verification result shows that the power has returned to normal and the normal state lasts for a 5-second cycle, the timer will be reset and the system will return to the normal operation judgment step. When the accumulated time exceeds 1 minute, it is necessary to determine whether there is a valid circuit breaker interruption in the collector line. The way to determine whether there is a valid circuit breaker interruption in the collector line is to check the circuit breaker interruption record corresponding to the collector line. If the circuit breaker interruption record shows that there is a circuit breaker interruption operation record during the power abnormality period, and the circuit breaker interruption operation has been actually executed, then it is considered that there is a valid circuit breaker interruption, and the grid-connected cabinet is affected. If the circuit breaker record shows no circuit breaker operation record during the period of power abnormality, or if there is a circuit breaker operation record but it was not actually executed, it is considered that there was no effective circuit breaker operation and the grid-connected cabinet is judged to be faulty.

[0010] Preferably, in the voltage anomaly determination, the specific situations of voltage anomaly include: The real-time voltage value is zero in 5 seconds; the real-time voltage value is less than 50% of the rated voltage; the real-time voltage value is more than 130% of the rated voltage. During the judgment process, voltage changes caused by planned voltage regulation of the power grid should be excluded. The way to exclude this situation is to check the recent voltage regulation plan of the power grid. If the current time is within the scope of the voltage regulation plan and the voltage change is consistent with the voltage regulation plan, then it is not considered as a voltage anomaly. If the current time is not within the voltage regulation plan range, or the voltage change amplitude is inconsistent with the voltage regulation plan, it is considered as a voltage anomaly; The timing for whether the voltage anomaly lasts for more than 1 minute begins when the voltage anomaly is first detected and non-planned voltage regulation is confirmed. The real-time voltage data is then checked every 5 seconds, and the grid voltage regulation plan is queried again. If the check result shows that the voltage is still in an abnormal state and non-planned voltage regulation is in effect, the timing continues to accumulate. If the verification result shows that the voltage has returned to normal, or the current time has entered the planned voltage regulation range of the power grid, the timer will be reset to zero and the system will return to the normal operation judgment step. When the accumulated time exceeds 1 minute, the grid-connected cabinet is determined to be faulty, and the specific value of the abnormal voltage, the duration, and the corresponding grid status are recorded.

[0011] Preferably, the status subdivision of the new energy grid-connected cabinet includes fault status, offline status, operating status, damaged status, and maintaining the current status; Among them, the fault status needs to be associated with the corresponding abnormality type, the time of the abnormality, and the range of parameter changes during the abnormality period; The offline status needs to be associated with the duration of unchanged data, the last normal status before going offline, and the parameter fluctuations during the offline period; The operating status needs to be associated with the cumulative operating time, the average voltage value during the operating period, the average power value, and the maximum fluctuation range of the parameters; The affected status needs to be associated with the time of the collector line trip, the power value before the trip, the power value after the trip, and the duration of the affected status. Maintaining the current state requires associating the previous state type, the duration of the previous state, and the duration of the current normal working conditions. When making subsequent state determinations, if the determination conditions for fault, offline, running, or affected states are detected, the state of the grid-connected cabinet will be switched from maintaining the current state to the corresponding target state, and all information associated with the state will be updated.

[0012] Preferably, when performing offline judgment based on unchanged data, it is necessary to combine the historical data of the grid-connected cabinet for auxiliary judgment. The historical data is the 5-second real-time data of the grid-connected cabinet when it was offline within the past 30 days. The specific method for assisting in the judgment is as follows: compare the parameter fluctuation characteristics of the currently collected data that is suspected of meeting the data unchanged offline condition with those of the historical offline data. If the similarity between the fluctuation characteristics of the current data and the fluctuation characteristics of the historical offline data reaches more than 80%, then it is confirmed that the current data meets the data unchanged offline condition. If the similarity is below 80%, the accuracy of the current data collection needs to be checked again. If the data collection is accurate, it is determined that the offline data condition is not met. When performing normal operation judgment, the historical data of the operation status in the past 30 days are also used to assist in the judgment. The current data that meets the normal operation conditions is compared with the parameter range of the historical operation data. If the frequency of the current data being within the parameter range of the historical operation data reaches more than 90%, it is confirmed that the current normal operation conditions are met. When performing power anomaly and voltage anomaly judgment, the current anomaly data and the anomaly characteristics of the historical fault data within the past 30 days are compared. If the similarity reaches 80% or more, the fault status is confirmed. Meanwhile, this historical data needs to be updated daily, and abnormal data caused by data acquisition errors or temporary sensor malfunctions should be removed during the update.

[0013] Preferably, while maintaining the current state, the real-time data and rated voltage and rated power parameters of the new energy grid-connected cabinet need to be collected again every 5 seconds, and the state judgment needs to be performed again according to the judgment process. When reassessing, first perform the offline data unchanged check. If the check satisfies the condition that the data remains unchanged and the current state is faulty, then switch to the faulty state. If the data remains unchanged offline and the current state is not faulty, then switch to offline state; If the data does not remain offline, then perform a normal operation check. In the normal operation judgment, if the normal operation conditions are met and the condition is maintained for more than 1 minute, the system will switch to the running state. If the normal working conditions are met but the duration does not exceed 1 minute, the current state will continue to be maintained. If the normal operating conditions are not met, then the circuit breaker signal is checked. In the circuit breaker signal judgment, if there is a circuit breaker signal, a power anomaly judgment is performed, and after determining that it is a fault or a damaged state, a state switch is performed. If there is no circuit breaker signal, a voltage anomaly judgment is performed, and a state switch is performed after the fault state is determined. If the grid-connected cabinet remains in its current state after 5 consecutive reassessments, and the duration of meeting normal working conditions during each reassessment does not exceed 1 minute, then record the situation and remind staff to pay attention to the operating status of the grid-connected cabinet. Continue monitoring at a frequency of reassessment every 5 seconds thereafter.

[0014] Preferably, the status result of each judgment, the corresponding judgment time, the collected 5-second real-time data, and the rated voltage and rated power parameters are recorded; The storage method for the records is as follows: a complete record is saved locally for a period of no less than 90 days, and the record is synchronized to the specified storage location at the same time; When the judgment result is a fault state or an affected state, the anomaly type, anomaly start time, and anomaly parameters should be highlighted in the record, and the anomaly record should be immediately pushed to the monitoring terminal of the operation and maintenance personnel. When the judgment result is running, offline, or maintaining the current state, the records are summarized and pushed to the monitoring terminal once per hour. At the same time, the recorded data is verified regularly by comparing the local records with the synchronously stored records. If inconsistencies are found, the record with the more recent collection time is used for correction, and the reason for correction and the correction time are recorded.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: The proposed method for determining the status of new energy grid-connected cabinets significantly improves the accuracy and reliability of status determination by comprehensively utilizing real-time data acquisition and analysis technologies. It not only considers key parameters such as real-time operating voltage, current, and power of the equipment but also combines historical data with comparative analysis of actual operating conditions, effectively avoiding potential misjudgments caused by traditional fixed threshold methods. Through refined status classification, including multiple states such as fault, offline, running, and under stress, this method can more comprehensively reflect the actual operating status of the grid-connected cabinet, providing timely and accurate anomaly warnings for maintenance personnel. Its dynamic adjustment and continuous monitoring mechanism ensures the real-time nature and adaptability of the determination results, effectively improving the overall operating efficiency and safety of the new energy grid-connected system. This is of great significance for promoting the intelligent and refined development of the new energy industry. Attached Figure Description

[0016] Figure 1 This is a flowchart for determining the status of the new energy grid-connected cabinet according to the present invention. Detailed Implementation

[0017] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0018] Reference Figure 1 As shown, the method for determining the status of new energy grid-connected cabinets based on real-time data specifically includes the following steps: Real-time data, including rated voltage and rated power parameters, are collected from the grid-connected new energy cabinet every 5 seconds. Choosing a 5-second data acquisition cycle is the optimal choice after considering both real-time performance and data processing load. A 5-second cycle can promptly capture short-term fluctuations in voltage, current, and power, avoiding missing abnormal signals due to excessively long cycles, while also avoiding the problem of excessive data volume and surged system processing pressure caused by shorter cycles such as 1 or 2 seconds. Rated voltage and rated power parameters are obtained in a dual manner: firstly, they are extracted from the factory nameplate parameters of the grid-connected cabinet and pre-stored in the local database of the status determination system as a basic reference standard; secondly, they are monitored in real-time by dedicated voltage and power sensors installed at the incoming line of the grid-connected cabinet. The monitored values ​​are compared and verified with the pre-stored nameplate parameters. If the deviation exceeds 5%, the real-time sensor monitoring value is taken as the standard to ensure the accuracy of the parameter benchmark.

[0019] Based on the collected data, the following judgment process is performed on the new energy grid-connected cabinet: Offline judgment is performed while the data remains unchanged, specifically as follows: If the grid-connected cabinet meets the conditions of data remaining unchanged offline and currently in a fault state, the grid-connected cabinet is determined to be faulty; if it meets the conditions of data remaining unchanged offline and currently in a non-fault state, the grid-connected cabinet is determined to be offline; if the grid-connected cabinet does not meet the conditions of data remaining unchanged offline, then a normal operation judgment is performed.

[0020] The specific process for determining whether a grid-connected cabinet meets the requirement of data invariance and offline operation is as follows: Voltage, current, and power data are collected for multiple consecutive 5-second cycles. The fluctuation amplitude of voltage, current, and power in each cycle is calculated to determine whether the fluctuation amplitude of each parameter is within the preset fluctuation range. The preset fluctuation range is determined based on two criteria: first, historical data of the grid-connected cabinet in the past 30 days when it was offline is analyzed to statistically analyze the natural fluctuation range of voltage, current, and power, and the upper limit of the fluctuation is taken as the basic reference; second, the allowable range of static parameter fluctuations specified in the grid-connected cabinet equipment manual is combined with the intersection of the two to determine the final preset fluctuation range, ensuring that the range conforms to both the actual offline working conditions and meets the equipment technical standards.

[0021] If the fluctuations in voltage, current, and power remain within the specified range for three or more consecutive 5-second cycles, the condition of data invariance is preliminarily deemed met. Three consecutive cycles are chosen for this preliminary assessment because the total 15 seconds effectively eliminates misjudgments caused by occasional stable data over one or two cycles, while also avoiding response delays due to excessively long cycles. Only after five consecutive cycles meeting the data invariance condition is the system determined to be offline. This is because a stable state over five cycles more fully demonstrates that the grid-connected cabinet is indeed in an offline state with no data changes, achieving a balance between misjudgment rate and response speed. This avoids misjudging normal, brief periods of stability as offline due to excessively short cycles, and also prevents delayed detection of offline status due to excessively long cycles.

[0022] Simultaneously, the current status information recorded during the last status determination of the grid-connected cabinet is retrieved. If the recorded information shows a fault state and the current data stability condition is met, the grid-connected cabinet is directly determined to be in a fault state. If the recorded current status is a non-fault state and the current data stability condition is met, it is necessary to further confirm whether the number of consecutive cycles that meet the data stability condition has reached 5. If it has, the grid-connected cabinet is determined to be offline. If the fluctuation range of any parameter exceeds the preset fluctuation range, or the number of consecutive cycles that meet the data stability condition has not reached 3, the grid-connected cabinet is determined to not meet the data stability offline requirement, and the normal operation judgment step is entered according to the judgment process.

[0023] The normal operation judgment is performed as follows: It is determined whether the grid-connected cabinet meets the normal operation conditions and has maintained this condition for more than one minute. If it does, it is judged to be in operation; if it meets the normal operation conditions but the condition does not last for more than one minute, the current state is maintained; if it does not meet the normal operation conditions, a circuit breaker signal judgment is performed. The specific criteria for the grid-connected cabinet to meet the normal operation conditions are as follows: The real-time voltage value for 5 seconds is within 90% to 110% of the rated voltage, the real-time power value is within 80% to 120% of the rated power, and the real-time current has no zero value and no abnormal peak value exceeding 150% of the rated current. This range was selected with reference to the factory tolerance standards of mainstream grid-connected cabinet equipment. The voltage range of 90%-110% can adapt to normal voltage fluctuations in the power grid and ensure that the equipment will not be damaged due to excessively high or low voltage. The power range of 80%-120% takes into account the output fluctuation characteristics of new energy power generation, ensuring power generation efficiency while avoiding equipment overload.

[0024] During the judgment process, transient fluctuations in the external power grid must be excluded. The exclusion method is as follows: After the initial detection that the normal operating conditions are met, data is collected for the next 5-second cycle. If the data in the next cycle still meets the normal operating conditions, it is determined that there are no external power grid instantaneous fluctuations. If the data in the next cycle does not meet the conditions, it is determined that there is interference and the detection needs to be restarted. The instantaneous fluctuation identification mechanism is based on the time characteristics of power grid fluctuations. External power grid instantaneous fluctuations usually last for less than 5 seconds. By verifying the data through two consecutive 5-second cycles, such interference can be effectively eliminated.

[0025] For timing exceeding 1 minute, the timing begins when normal operating conditions are first detected and external power grid fluctuations are eliminated. Real-time data is then checked every 5 seconds. If the check shows normal operating conditions are still met, the timing continues to accumulate. If the check shows conditions are not met, the timing is paused until normal operating conditions are detected again and interference is eliminated, at which point the timing restarts. The timer is implemented using a built-in millisecond-level timer. The accumulated timing value is updated after each data check, and the timing data is stored in a local cache in real time to prevent data loss in case of power failure. The grid-connected cabinet is considered to be in operation only when the accumulated timing exceeds 1 minute. If the accumulated timing does not exceed 1 minute, the previous assessment of the grid-connected cabinet is maintained, and the duration of normal operating conditions being met is recorded.

[0026] The circuit breaker signal judgment process is as follows: if a circuit breaker signal is present, a power anomaly judgment is performed; if no circuit breaker signal is present, a voltage anomaly judgment is performed. The specific process for circuit breaker signal judgment is as follows: the open / closed status signal of the collector line circuit breaker is obtained through the signal interaction channel connecting the grid-connected cabinet and the collector line. The signal interaction channel consists of both hardware and software components. The hardware uses an RS485 wired communication module or a LoRa wireless communication module. The wired method is suitable for short-distance scenarios with stable electromagnetic environments, while the wireless method is suitable for long-distance scenarios with difficult wiring. The software uses the Modbus-RTU communication protocol, which features stable transmission rates and strong anti-interference capabilities, ensuring efficient signal transmission.

[0027] The criteria for determining "circuit breaker signal" are: within 10 consecutive seconds, the circuit breaker's open / closed status signal can be received stably, and the received signal is clear and complete, clearly indicating whether the circuit breaker is in a closed or open state. The clarity of the signal is measured by two indicators: first, the signal strength must be greater than -80dBm, and second, the signal error rate must be less than 0.1%. If either indicator is not met, the signal is considered unclear or incomplete.

[0028] If the signal received within 10 seconds is unclear, incomplete, or the circuit breaker status cannot be clearly determined, the signal needs to be acquired again. The number of acquisitions should not exceed 3. If a clear signal cannot be acquired after 3 attempts, it should be temporarily treated as "no circuit breaker signal". Setting 3 retries is to eliminate accidental signal interference. 3 retries can reduce misjudgment caused by a single signal loss and will not prolong the judgment time due to too many retries.

[0029] The criteria for determining "no circuit breaker signal" are as follows: If no circuit breaker open / close status signal is received within 20 consecutive seconds, it is necessary to check whether the signal exchange channel between the grid-connected cabinet and the collector line is unobstructed. If a fault is found in the channel, it is determined that there is no circuit breaker signal, and the voltage anomaly judgment step is initiated. If the channel is found to be unobstructed, but a signal still cannot be obtained, continue to wait for 10 seconds. If there is still no signal after 10 seconds, it is determined that there is no circuit breaker signal, and the voltage anomaly judgment step is initiated. The setting of 10-second and 20-second waiting times is based on the actual test results of the on-site communication environment. 20 seconds is sufficient to rule out short-term signal interruptions, while the additional 10-second wait further confirms the signal loss situation after the channel is unobstructed, ensuring the accuracy of the no-signal judgment.

[0030] The power anomaly judgment process specifically involves: determining whether a power anomaly persists for more than 1 minute; if no effective power trip is detected, a fault is identified; if an effective power trip is detected, an impact is identified. Specific scenarios for power anomaly judgment include: a real-time power value of zero over 5 seconds; a real-time power value lower than 30% of the rated power; or a real-time power fluctuation exceeding 50% of the rated power over three consecutive 5-second cycles. An example of calculating the fluctuation amplitude is as follows: if the grid-connected cabinet has a rated power of 100kW, and the real-time power over three consecutive 5-second cycles is 95kW, 50kW, and 98kW respectively, the first calculation method is to take the absolute value of the difference between the power in each cycle and the rated power, which are 5kW, 50kW, and 2kW respectively. The maximum absolute value of the difference is 50kW, and the ratio to the rated power is 50%. If this threshold is reached, an anomaly is determined. The second calculation method is to take the absolute value of the difference between the power of adjacent cycles, which are 45kW and 48kW respectively. The maximum absolute value of the difference is 48kW, and the ratio of the difference to the rated power is 48%, which does not reach the threshold. In this case, the maximum value of the two calculation methods shall be used. If either method reaches the threshold, it is judged as abnormal.

[0031] The timing for determining whether the power anomaly lasts for more than 1 minute begins from the first detected power anomaly. Real-time power data is then checked every 5 seconds. If the check shows the power is still abnormal, the timer continues to accumulate. If the check shows the power has returned to normal and this normal state lasts for one 5-second cycle, the timer is reset, and the system returns to the normal operation judgment step. When the accumulated time exceeds 1 minute, it is necessary to determine whether there is a valid circuit breaker trip on the collector line. This is done by checking the corresponding trip record for the collector line. The verification process for a valid trip requires two steps: The first step is to access the backend database of the collector line circuit breaker control system, query the circuit breaker operation log, obtain the operation time, operation instruction number, and operator information, and confirm whether there are any circuit breaker operation records during the power anomaly period. The second step involves using a position sensor installed on the circuit breaker to detect the actual opening and closing status of the circuit breaker. If the sensor indicates that the circuit breaker has been opened and the operation time is consistent with the operation log, it is considered that there has been a valid circuit breaker trip, and the grid-connected cabinet is deemed to be affected. If the circuit breaker trip record shows that there is no circuit breaker trip record during the power abnormality period, or if there is a circuit breaker trip record but the sensor detects that the circuit breaker has not been opened, it is considered that there is no valid circuit breaker trip, and the grid-connected cabinet is deemed to be faulty.

[0032] The voltage anomaly detection process involves determining whether a voltage anomaly persists for more than one minute; if so, a fault is identified. Specific voltage anomaly scenarios include: a real-time voltage value of zero for 5 seconds, a real-time voltage value below 50% of the rated voltage, and a real-time voltage value above 130% of the rated voltage. During the detection process, voltage changes caused by planned voltage regulation by the power grid must be excluded. This is done by querying the power grid's recent voltage regulation plan. This query is achieved through a real-time data interface established with the power grid dispatch center. The interface adopts the IEC 61850 standard protocol to ensure standardized and real-time data transmission. The system can obtain the voltage regulation plan for the next 24 hours through this interface, including the start and end times of the regulation, and the upper and lower limits of the target voltage. If the current time falls within the voltage regulation plan's range, and the real-time voltage change is consistent with the target voltage range in the plan, then it is not considered a voltage anomaly. If the current time is not within the voltage regulation plan range, or the voltage change amplitude is inconsistent with the voltage regulation plan, it is considered a voltage anomaly. The timing for whether the voltage anomaly lasts longer than 1 minute begins when the voltage anomaly is first detected and confirmed to be unplanned grid voltage regulation. Afterward, the real-time voltage data is checked every 5 seconds, and the grid voltage regulation plan is queried again. If the check result shows that the voltage is still abnormal and unplanned, the timing continues to accumulate. If the check result shows that the voltage has returned to normal, or the current time has entered the grid's planned voltage regulation range, the timing is reset to zero, and the system returns to the normal operation judgment step. When the accumulated timing exceeds 1 minute, the grid-connected cabinet is determined to be faulty, and the specific voltage anomaly value, duration, and corresponding grid status are recorded.

[0033] The detailed classification of the new energy grid-connected cabinet's status includes fault status, offline status, operating status, affected status, and maintaining the current status. Specifically, the fault status needs to be associated with the corresponding anomaly type, the time of the anomaly, and the range of parameter changes during the anomaly period; the offline status needs to be associated with the duration of unchanged data, the last normal status before offline, and parameter fluctuations during the offline period; the operating status needs to be associated with the cumulative operating time, the average voltage value, the average power value during operation, and the maximum parameter fluctuation amplitude; the affected status needs to be associated with the time of the collector line trip, the power value before the trip, the power value after the trip, and the duration of the affected status; maintaining the current status needs to be associated with the previously determined status type, the duration of the previous status, and the duration of the current normal operating conditions. During subsequent status determinations, if the conditions for a fault, offline, operating, or affected status are met, the grid-connected cabinet's status is switched from maintaining the current status to the corresponding target status, and all associated information is updated.

[0034] The associated information records for each status segment are managed using a MySQL relational database. Each status corresponds to an independent data table. For example, the fault status table includes fields such as "grid-connected cabinet number," "abnormality type," "abnormality occurrence time," "parameter change range," and "record generation time." The offline status table includes fields such as "grid-connected cabinet number," "duration," "status before offline," and "parameter fluctuation." The data storage format is JSON, which facilitates subsequent data parsing, retrieval, and visualization. Information updates and maintenance are achieved through the system's built-in database operation module. After each status determination, the module automatically triggers an SQL update statement to write the latest status information to the corresponding data table. At 2:00 AM every day, the system automatically backs up all status data from the previous day, and the backup file is stored on a remote server to ensure data security and traceability.

[0035] When performing offline judgment based on unchanged data, it is necessary to combine the historical data of the grid-connected cabinet for auxiliary judgment. The historical data is the 5-second real-time data of the grid-connected cabinet when it was offline in the past 30 days. The historical data is collected through the system's automatic collection mechanism. Every day at midnight, the system extracts the offline status data of the previous day from the local database and stores it in the historical database according to the naming rule of "grid-connected cabinet number-date". The preprocessing process includes three steps. The first step is to remove data with a data acquisition interval of more than 10 seconds, which is considered as discontinuous acquisition. The second step is to identify and remove outliers caused by sensor failures through sensor self-test signals. The third step is to use the 5-point moving average method to smooth the data and eliminate data noise.

[0036] The specific methods for assisting in the judgment are as follows: By comparing the parameter fluctuation characteristics of currently collected data that are suspected of meeting the data-unchanged offline condition with those of historical offline data, the similarity calculation uses the Pearson correlation coefficient algorithm to calculate the correlation coefficient between the current data sequence and the historical data sequence. If the correlation coefficient is greater than 0.8, it helps to confirm that the current data meets the data-unchanged offline condition. If the similarity is less than 80%, it is necessary to re-check whether the current data collection is accurate by comparing it with the data collected by the backup sensor. If the collection is accurate, it is determined that the data-unchanged offline condition is not met. When performing normal operation judgment, historical data of the operating state in the past 30 days is also used to assist in the judgment. By statistically analyzing the frequency of voltage and power in each parameter range in the historical operating data, if the frequency of the current data in the range exceeds 90%, it helps to confirm that the current data meets the normal operation condition. When performing power anomaly judgment and voltage anomaly judgment, the Pearson correlation coefficient is used to calculate the similarity between the current abnormal data and the historical fault data in the past 30 days. If the similarity reaches 80% or more, it helps to confirm the fault state. Meanwhile, this historical data needs to be updated daily, removing abnormal data caused by data acquisition errors or temporary sensor malfunctions. The selection of 80% and 90% as similarity thresholds is based on the verification results of a large amount of experimental data. The 80% threshold ensures the accuracy of the auxiliary judgment while avoiding misjudgments due to minor fluctuations in historical data, making it suitable for offline and faulty states. The 90% threshold targets the operational state, as the operational state requires higher parameter stability and greater consistency to ensure accurate judgment and reduce the risk of misjudgment.

[0037] During the maintenance of the current state, the real-time data and rated voltage and rated power parameters of the new energy grid-connected cabinet need to be re-collected every 5 seconds, and the state judgment is re-performed according to the judgment process. During the re-judgment, the data unchanged offline judgment is performed first. If the data unchanged offline condition is met and the current state is faulty, the system switches to fault state. If the data unchanged offline condition is met and the current state is not faulty, the system switches to offline state. If the data unchanged offline condition is not met, the normal operation judgment is performed. In the normal operation judgment, if the normal operation conditions are met and the condition is maintained for more than 1 minute, the system switches to operating state. If the normal operation conditions are met but the condition is maintained for less than 1 minute, the current state is maintained. If the normal operation conditions are not met, the circuit breaker signal judgment is performed. In the state judgment process, if a circuit breaker signal is present, a power anomaly judgment is performed. If the state is determined to be faulty or affected, a state switch is initiated. If no circuit breaker signal is present, a voltage anomaly judgment is performed. If the state is determined to be faulty, a state switch is initiated. The state switch logic follows the "full condition satisfaction" principle, meaning that all judgment conditions for the target state must be met for the corresponding duration before a switch is triggered. For example, switching from the maintenance state to the operating state requires both "normal working conditions" and "cumulative time exceeding 1 minute" to be met simultaneously; neither condition can be omitted. To avoid system load caused by frequent switching, a 1-minute state switch cooldown time is set. If the judgment conditions for other states are met within 1 minute after the previous state switch is completed, a switch operation will not be performed, reducing the resource consumption of frequent system state updates.

[0038] If, after five consecutive reassessments, the grid-connected cabinet remains in its current state, and the duration of each reassessment meeting normal operating conditions does not exceed one minute, this situation is recorded, prompting staff to pay attention to the operating status of the grid-connected cabinet. The prompting method includes two approaches: first, a yellow warning window pops up on the system monitoring interface, displaying the grid-connected cabinet number, current status, and duration; second, a warning SMS is sent to the mobile phones of maintenance personnel via the SMS gateway to ensure timely information access. Subsequent monitoring will continue at a reassessment frequency of every 5 seconds.

[0039] The system records the status result of each judgment, the corresponding judgment time, the collected 5-second real-time data, and the rated voltage and rated power parameters. The storage method is as follows: local storage uses an industrial-grade SD card, which supports power-off data protection to prevent data loss due to sudden power outages. The local retention period is set to no less than 90 days. Records older than 90 days will be automatically deleted according to the "first-in, first-out" principle to free up storage space. At the same time, the records are synchronized to a designated remote storage server. Remote synchronization uses the FTP protocol. The system triggers a synchronization operation every 5 minutes. If the synchronization fails due to network interruption, the system will automatically retry 3 times with a 1-minute interval. If the retry fails, the failure information will be recorded in the system error log, and synchronization will be re-established after the network is restored.

[0040] When the judgment result is a fault state or a damaged state, the anomaly type, anomaly start time, and anomaly parameters must be highlighted in the record, and the anomaly record must be immediately pushed to the monitoring terminal of the operation and maintenance personnel. The push uses the MQTT message queue protocol to ensure that the message is delivered in real time. The monitoring terminals include the system monitoring platform and the mobile APP of the operation and maintenance personnel, and the push delay is controlled within 10 seconds. When the judgment result is running, offline, or maintaining the current state, the records are summarized and pushed to the monitoring terminal once per hour. The summary format is an Excel spreadsheet, which is convenient for the operation and maintenance personnel to view and analyze in batches.

[0041] Meanwhile, the recorded data is verified regularly by comparing local records with synchronously stored records. Consistency verification is achieved by calculating the MD5 data fingerprint of each record. If data inconsistency is found, the record with the more recent collection time is used for correction, and the reason for correction (such as local data corruption or remote synchronization error) and correction time are recorded in the verification log. The data verification adopts an automated process. The system automatically performs the verification operation at 12 noon every day without manual intervention. The verification results are displayed in real time on the monitoring interface. If a large number of data inconsistencies occur, the system will automatically trigger an alarm and notify technical personnel to investigate the problem.

[0042] In addition, to ensure data integrity, an error handling and recovery mechanism is set up. When data acquisition fails, the system immediately starts the backup sensor to collect data and records the faulty sensor number and the time of failure. When data push fails, the data to be pushed is temporarily stored in a local cache queue with a queue capacity of 1,000 entries. When the network is restored or the terminal is online, the system automatically retrieves the data from the cache queue and pushes it again to avoid data loss.

[0043] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A method for determining the status of a new energy grid-connected cabinet based on real-time data, characterized in that, Includes the following steps: Real-time data collection of new energy grid-connected cabinets, including 5-second real-time data and rated voltage and rated power parameters; Based on the collected data, the following judgment process is performed on the new energy grid-connected cabinet: The data-unchanged offline judgment is performed as follows: if the grid-connected cabinet meets the data-unchanged offline condition and is currently in a fault state, the grid-connected cabinet is determined to be faulty; if the data-unchanged offline condition is met and the current state is not faulty, the grid-connected cabinet is determined to be offline; if the grid-connected cabinet does not meet the data-unchanged offline condition, then a normal operation judgment is performed. The normal operation judgment is performed as follows: it is determined whether the grid-connected cabinet meets the normal operation conditions and has been in operation for more than 1 minute. If it meets the conditions, it is determined to be in operation; if it meets the normal operation conditions but has not been in operation for more than 1 minute, it is maintained in the current state; if it does not meet the normal operation conditions, the circuit breaker signal is judged. The circuit breaker signal judgment is performed as follows: if there is a circuit breaker signal, a power anomaly judgment is performed; if there is no circuit breaker signal, a voltage anomaly judgment is performed. The power anomaly judgment is performed as follows: determine whether the power is abnormal and lasts for more than 1 minute. If there is no effective circuit breaker disconnection, the fault is determined. If there is an effective circuit breaker disconnection, the affected party is determined. Perform voltage anomaly detection, specifically: determine if the voltage is abnormal and lasts for more than 1 minute; if so, determine if it is a fault.

2. The method for determining the status of new energy grid-connected cabinets based on real-time data according to claim 1, characterized in that, In the data-unchanged offline judgment, the specific process for determining whether the grid-connected cabinet meets the data-unchanged offline condition is as follows: Collect voltage, current, and power data for multiple consecutive 5-second cycles, calculate the fluctuation amplitude of voltage, current, and power in each cycle, and determine whether the fluctuation amplitude of each parameter is within the preset fluctuation range. If the fluctuation range of voltage, current, and power is within this fluctuation range for three or more consecutive 5-second cycles, it is preliminarily determined that the data invariance condition is met. At the same time, retrieve the current status information recorded when the grid-connected cabinet was last determined. If the recorded information shows a fault status and the current data unchanged condition has been met, then the grid-connected cabinet is directly determined to be in a fault status. If the current recorded state is a non-fault state and the current data remains unchanged condition is met, it is necessary to further confirm whether the number of consecutive cycles that meet the data remains unchanged condition has reached 5. If it has, then the network cabinet is determined to be offline. If the fluctuation range of any parameter exceeds the preset fluctuation range, or if the number of consecutive cycles that meet the data invariance condition is less than 3, the grid-connected cabinet is deemed not to meet the data invariance offline requirement, and the normal operation judgment step is entered according to the judgment process.

3. The method for determining the status of new energy grid-connected cabinets based on real-time data according to claim 1, characterized in that, In the judgment of normal operation, the specific criteria for the grid-connected cabinet to meet the normal operation conditions are as follows: The real-time voltage value for 5 seconds is within the range of 90% to 110% of the rated voltage, the real-time power value is within the range of 80% to 120% of the rated power, and the real-time current has no zero value and no abnormal peak value exceeding 150% of the rated current. During the judgment process, transient fluctuations in the external power grid need to be excluded. The exclusion method is as follows: after the first detection that the normal working conditions are met, continue to collect data for the next 5-second cycle. If the data in the next cycle still meets the normal working conditions, it is determined that there are no transient fluctuations in the external power grid. If the data in the next cycle does not meet the requirements, it is determined that there is interference and the detection needs to be restarted. For timing exceeding 1 minute, the timing starts when the normal working conditions are first detected and external power grid fluctuations are excluded. The real-time data collected is then checked every 5 seconds. If the check result shows that the normal working conditions are still met, the timing continues to accumulate. If the verification result shows that the normal working conditions are not met, the timing will be paused and will resume after the normal working conditions are detected again and the interference is eliminated. The network cabinet is only considered to be in operation when the accumulated time exceeds 1 minute. If the accumulated time does not exceed 1 minute, the previous state of the grid-connected cabinet will be maintained, and the duration of the current normal working conditions will be recorded.

4. The method for determining the status of a new energy grid-connected cabinet based on real-time data according to claim 1, characterized in that, The specific process for determining the circuit breaker signal is as follows: The open / close status signal of the collector circuit breaker is obtained through the signal interaction channel associated with the grid-connected cabinet and the collector line. The criteria for determining "circuit breaker signal" are: within 10 consecutive seconds, the circuit breaker's open / closed status signal can be received stably, and the received signal is clear and complete, clearly indicating whether the circuit breaker is in a closed or open state. If the signal received within 10 seconds is unclear, incomplete, or the circuit breaker status cannot be clearly determined, the signal needs to be acquired again. The number of acquisitions should not exceed 3. If a clear signal cannot be acquired after 3 acquisitions, it should be temporarily treated as "no circuit breaker signal". The standard for determining "no circuit breaker signal" is: if no circuit breaker open / close status signal is received within 20 consecutive seconds, it is necessary to check whether the signal interaction channel between the grid-connected cabinet and the collector line is unobstructed. If a fault is found in the channel, it is determined that there is no circuit breaker signal, and the voltage abnormality judgment step is entered. If the inspection finds that the channel is clear but a signal still cannot be obtained, continue to wait for 10 seconds. If there is still no signal after 10 seconds, it is determined that there is no circuit breaker signal, and the voltage abnormality judgment step is entered.

5. The method for determining the status of a new energy grid-connected cabinet based on real-time data according to claim 1, characterized in that, In the power anomaly detection, the specific situations of power anomalies include: The real-time power value is zero in 5 seconds, the real-time power value is less than 30% of the rated power, or the fluctuation range of the real-time power exceeds 50% of the rated power within 3 consecutive 5-second cycles; The timing for whether the power anomaly lasts for more than 1 minute starts from the first time the power anomaly is detected, and then the real-time power data is checked every 5 seconds. If the check result shows that the power anomaly is still in a state of power anomaly, the timing continues to accumulate. If the verification result shows that the power has returned to normal and the normal state lasts for a 5-second cycle, the timer will be reset and the system will return to the normal operation judgment step. When the accumulated time exceeds 1 minute, it is necessary to determine whether there is a valid circuit breaker interruption in the collector line. The way to determine whether there is a valid circuit breaker interruption in the collector line is to check the circuit breaker interruption record corresponding to the collector line. If the circuit breaker interruption record shows that there is a circuit breaker interruption operation record during the power abnormality period, and the circuit breaker interruption operation has been actually executed, then it is considered that there is a valid circuit breaker interruption, and the grid-connected cabinet is affected. If the circuit breaker record shows no circuit breaker operation record during the period of power abnormality, or if there is a circuit breaker operation record but it was not actually executed, it is considered that there was no effective circuit breaker operation and the grid-connected cabinet is judged to be faulty.

6. The method for determining the status of a new energy grid-connected cabinet based on real-time data according to claim 1, characterized in that, In the voltage anomaly detection, the specific scenarios of voltage anomalies include: The real-time voltage value is zero in 5 seconds; the real-time voltage value is less than 50% of the rated voltage; the real-time voltage value is more than 130% of the rated voltage. During the judgment process, voltage changes caused by planned voltage regulation of the power grid should be excluded. The way to exclude this situation is to check the recent voltage regulation plan of the power grid. If the current time is within the scope of the voltage regulation plan and the voltage change is consistent with the voltage regulation plan, then it is not considered as a voltage anomaly. If the current time is not within the voltage regulation plan range, or the voltage change amplitude is inconsistent with the voltage regulation plan, it is considered as a voltage anomaly; The timing for whether the voltage anomaly lasts for more than 1 minute begins when the voltage anomaly is first detected and non-planned voltage regulation is confirmed. The real-time voltage data is then checked every 5 seconds, and the grid voltage regulation plan is queried again. If the check result shows that the voltage is still in an abnormal state and non-planned voltage regulation is in effect, the timing continues to accumulate. If the verification result shows that the voltage has returned to normal, or the current time has entered the planned voltage regulation range of the power grid, the timer will be reset to zero and the system will return to the normal operation judgment step. When the accumulated time exceeds 1 minute, the grid-connected cabinet is determined to be faulty, and the specific value of the abnormal voltage, the duration, and the corresponding grid status are recorded.

7. The method for determining the status of a new energy grid-connected cabinet based on real-time data according to claim 1, characterized in that, The status details of the new energy grid-connected cabinet include fault status, offline status, operating status, affected status, and maintaining the current status; Among them, the fault status needs to be associated with the corresponding abnormality type, the time of the abnormality, and the range of parameter changes during the abnormality period; The offline status needs to be associated with the duration of unchanged data, the last normal status before going offline, and the parameter fluctuations during the offline period; The operating status needs to be associated with the cumulative operating time, the average voltage value during the operating period, the average power value, and the maximum fluctuation range of the parameters; The affected status needs to be associated with the time of the collector line trip, the power value before the trip, the power value after the trip, and the duration of the affected status. Maintaining the current state requires associating the previous state type, the duration of the previous state, and the duration of the current normal working conditions. When making subsequent state determinations, if the determination conditions for fault, offline, running, or affected states are detected, the state of the grid-connected cabinet will be switched from maintaining the current state to the corresponding target state, and all information associated with the state will be updated.

8. The method for determining the status of a new energy grid-connected cabinet based on real-time data according to claim 1, characterized in that, When performing offline judgment based on unchanged data, it is necessary to combine the historical data of the grid-connected cabinet for auxiliary judgment. The historical data is the 5-second real-time data of the grid-connected cabinet when it was offline in the past 30 days. The specific method for assisting in the judgment is as follows: compare the parameter fluctuation characteristics of the currently collected data that is suspected of meeting the data unchanged offline condition with those of the historical offline data. If the similarity between the fluctuation characteristics of the current data and the fluctuation characteristics of the historical offline data reaches more than 80%, then it is confirmed that the current data meets the data unchanged offline condition. If the similarity is below 80%, the accuracy of the current data collection needs to be checked again. If the data collection is accurate, it is determined that the offline data condition is not met. When performing normal operation judgment, the historical data of the operation status in the past 30 days are also used to assist in the judgment. The current data that meets the normal operation conditions is compared with the parameter range of the historical operation data. If the frequency of the current data being within the parameter range of the historical operation data reaches more than 90%, it is confirmed that the current normal operation conditions are met. When performing power anomaly and voltage anomaly judgment, the current anomaly data and the anomaly characteristics of the historical fault data within the past 30 days are compared. If the similarity reaches 80% or more, the fault status is confirmed. Meanwhile, this historical data needs to be updated daily, and abnormal data caused by data acquisition errors or temporary sensor malfunctions should be removed during the update.

9. The method for determining the status of a new energy grid-connected cabinet based on real-time data according to claim 1, characterized in that, In the process of maintaining the current state, it is necessary to re-collect the real-time data of the new energy grid-connected cabinet and the rated voltage and rated power parameters every 5 seconds, and re-perform the state judgment according to the judgment process. When reassessing, first perform the offline data unchanged check. If the check satisfies the condition that the data remains unchanged and the current state is faulty, then switch to the faulty state. If the data remains unchanged offline and the current state is not faulty, then switch to offline state; If the data does not remain offline, then perform a normal operation check. In the normal operation judgment, if the normal operation conditions are met and the condition is maintained for more than 1 minute, the system will switch to the running state. If the normal working conditions are met but the duration does not exceed 1 minute, the current state will continue to be maintained. If the normal operating conditions are not met, then the circuit breaker signal is checked. In the circuit breaker signal judgment, if there is a circuit breaker signal, a power anomaly judgment is performed, and after determining that it is a fault or a damaged state, a state switch is performed. If there is no circuit breaker signal, a voltage anomaly judgment is performed, and a state switch is performed after the fault state is determined. If the grid-connected cabinet remains in its current state after 5 consecutive reassessments, and the duration of meeting normal working conditions during each reassessment does not exceed 1 minute, then record the situation and remind staff to pay attention to the operating status of the grid-connected cabinet. Continue monitoring at a frequency of reassessment every 5 seconds thereafter.

10. The method for determining the status of a new energy grid-connected cabinet based on real-time data according to claim 1, characterized in that, Record the status result of each judgment, the corresponding judgment time, the collected 5-second real-time data, and the rated voltage and rated power parameters; The storage method for the records is as follows: a complete record is saved locally for a period of no less than 90 days, and the record is synchronized to the specified storage location at the same time; When the judgment result is a fault state or an affected state, the anomaly type, anomaly start time, and anomaly parameters should be highlighted in the record, and the anomaly record should be immediately pushed to the monitoring terminal of the operation and maintenance personnel. When the judgment result is running, offline, or maintaining the current state, the records are summarized and pushed to the monitoring terminal once per hour. At the same time, the recorded data is verified regularly by comparing the local records with the synchronously stored records. If inconsistencies are found, the record with the more recent collection time is used for correction, and the reason for correction and the correction time are recorded.

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