A new method for detecting abnormal energy storage data in intelligent energy storage power stations

Abstract

The present invention relates to the technical field of energy storage detection of energy storage power stations, and in particular to a novel intelligent energy storage power station energy storage data anomaly detection method; the present invention analyzes from the perspective of the energy storage process of the energy storage power station to understand whether the energy storage in the energy storage process of the energy storage power station is normal, that is, the energy storage parameter information is analyzed for abnormal risk assessment during the energy storage process period, so as to intuitively understand whether the energy storage of the energy storage power station is normal, so as to make targeted management based on feedback information, so as to improve the energy storage safety and stability of the energy storage power station, and analyzes from two points of energy storage batteries and auxiliary facilities by means of information feedback, and analyzes in combination with the interference weights of each energy storage battery, so as to judge whether the energy storage anomaly of the energy storage power station is caused by the anomaly of the energy storage battery and the auxiliary facilities, so as to make targeted management of the energy storage battery or the auxiliary facilities based on the information feedback, so as to improve the stability and reliability of the energy storage process of the energy storage battery.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage detection in energy storage power stations, and in particular to a novel method for detecting abnormal energy storage data in intelligent energy storage power stations. Background Art

[0002] During the installation and operation of energy storage power stations, the quality and aging speed of the batteries in the energy storage power stations are difficult to control. As the use time continues to increase, the safety of the energy storage power station will become worse and worse, and the risk of accidents will gradually increase. The most important component of the energy storage power station is the energy storage battery. There are many different operating parameters such as voltage, current, resistance, etc., and their changes directly affect the comprehensive performance of the energy storage power station. Therefore, safety has become one of the core issues of concern in the field of energy storage. Safety testing for energy storage power stations is an extremely important process.

[0003] However, in the prior art, it is impossible to safely supervise the energy storage process of the energy storage power station, and it is impossible to timely understand whether the energy storage process of the energy storage power station is normal, which is not conducive to timely targeted management of the energy storage power station, reducing the energy storage safety of the energy storage power station. At the same time, it is impossible to conduct targeted interference evaluation on the energy storage batteries and auxiliary facilities of the energy storage power station, and it is impossible to accurately understand whether the energy storage anomaly of the energy storage power station is caused by the abnormality of the energy storage batteries and auxiliary facilities, and it is impossible to timely make targeted adjustments to the energy storage batteries and auxiliary facilities;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a novel intelligent energy storage power station energy storage data anomaly detection method to solve the above-mentioned technical defects. The present invention analyzes from the perspective of the energy storage process of the energy storage power station, that is, performs abnormal risk assessment analysis on the energy storage parameter information during the energy storage process period, so as to intuitively understand whether the energy storage of the energy storage power station is normal, so as to make targeted management based on the feedback information, so as to improve the energy storage safety and stability of the energy storage power station, and analyzes from two points of energy storage batteries and auxiliary facilities through information feedback, so as to carry out targeted management of energy storage batteries or auxiliary facilities based on the information feedback situation, so as to improve the stability and reliability of the energy storage process of the energy storage battery.

[0006] The purpose of the present invention can be achieved by the following technical solution: A novel method for detecting abnormal energy storage data of a smart energy storage power station comprises the following steps:

[0007] Step 1: Collect energy storage parameter information from the perspective of the energy storage process of the energy storage power station, and conduct abnormal risk assessment and analysis of the energy storage parameter information during the energy storage process period, perform discrimination processing on the obtained energy storage period deviation value TDg, and output the obtained normal signal or abnormal signal as feedback;

[0008] Step 2: Based on the abnormal signal, the energy storage status information and energy storage interference information of the energy storage battery are collected, and the energy storage interference information is substituted into step 4 for operation calibration evaluation division feedback analysis, and the energy storage status information is subjected to the time period battery energy storage abnormality evaluation and processing operation;

[0009] Step 3: Based on the energy storage abnormal interference coefficient obtained under the time period battery energy storage abnormality evaluation and processing operation, the obtained energy storage abnormal interference coefficient is judged and processed, and the obtained qualified signal or energy storage interference signal is fed back and output;

[0010] Step 4: Based on the information progressive method, the energy storage interference information is calibrated, evaluated, divided and feedback analyzed, and the normal operation interference weight Ck and abnormal operation interference weight Fm obtained are fed back to step 3;

[0011] Step 5: Based on the abnormal signal, the impact of external energy storage interference evaluation is divided and analyzed from the perspective of auxiliary energy storage of the energy storage power station, the obtained auxiliary energy storage evaluation coefficient is discriminated and processed, and the obtained stable signal or impact signal is fed back and output.

[0012] Preferably, the abnormal risk assessment and analysis process of the energy storage process period is as follows:

[0013] The operating time period of the energy storage power station is collected and set as the time threshold, and the energy storage parameter information of the energy storage power station within the time threshold is obtained, and the energy storage parameter information includes the energy storage rate and the storage amount. At the same time, the standard energy storage parameter information of the normal energy storage power station is obtained; the working condition impact information of the energy storage power station within the time threshold is obtained, and the working condition impact information includes the mechanical vibration amplitude and the operating temperature, and the number of values ​​corresponding to the working condition impact information that exceed the preset threshold is set as the working impact index, and then the error correction factor corresponding to the working impact index in the preset working impact index interval is obtained.

[0014] Preferably, a parameter in the energy storage parameter information is set to g, where g is a natural number greater than zero, and the product value obtained by multiplying the corresponding numerical value of each parameter in the energy storage parameter information within the time threshold by the error correction factor after data normalization is set as the corrected energy storage parameter information, and the corrected energy storage parameter information is compared and analyzed with the standard energy storage parameter information, and the difference between the numerical values ​​of the corrected energy storage parameter information and the standard energy storage parameter information is set as the energy storage period deviation value TDg, and the energy storage period deviation value TDg is discriminated and processed to obtain a normal signal or an abnormal signal.

[0015] Preferably, the battery energy storage abnormality evaluation and processing operation process during the period is as follows:

[0016] The energy storage battery in the energy storage power station is set to n, where n is a natural number greater than zero, and the energy storage status information of each energy storage battery in the energy storage power station within the time threshold is obtained, the energy storage status information includes the working condition evaluation index and the characteristic performance coefficient, and the product value of the working condition evaluation index and the corresponding numerical value of the characteristic performance coefficient is set as the battery evaluation coefficient;

[0017] The value obtained by multiplying the battery evaluation coefficient of each energy storage battery with the corresponding normal operation interference weight Ck or abnormal operation interference weight Fm is set as the energy storage defect evaluation coefficient Pn, and the energy storage defect evaluation coefficient Pn is discriminated: if the energy storage defect evaluation coefficient Pn is greater than or equal to the preset energy storage defect evaluation coefficient threshold, the corresponding energy storage battery is judged to be an interference battery, and the ratio between the corresponding number of interference batteries and n is set as the energy storage abnormal interference coefficient, and the energy storage abnormal interference coefficient is discriminated to obtain a qualified signal or an energy storage interference signal.

[0018] Preferably, the operating condition evaluation index indicates the number of deviations of the corresponding values ​​of the parameter information of each energy storage battery from the set range, and the parameter information includes voltage and current; the characteristic performance coefficient indicates the difference between the maximum operating temperature and the initial temperature of each energy storage battery.

[0019] Preferably, the operation calibration evaluation division feedback analysis process is as follows:

[0020] The energy storage interference information of each energy storage battery in the energy storage power station within the time threshold is obtained, and the energy storage interference information includes an internal injury evaluation coefficient and a defect evaluation value; the internal injury evaluation coefficient represents the product value obtained by multiplying the battery capacity attenuation value and the internal resistance value of each energy storage battery after data normalization; the defect evaluation value represents the number of defect features in the appearance feature image of each energy storage battery, and the defect features include bulges and depressions;

[0021] Compare and analyze the internal injury evaluation coefficient and the defect evaluation value with the preset internal injury evaluation coefficient threshold and the preset defect evaluation value threshold, set the number of the internal injury evaluation coefficient and the defect evaluation value that is greater than the preset defect evaluation value threshold as the evaluation risk coefficient, and perform discrimination processing on the evaluation risk coefficient to obtain normal batteries and interference batteries;

[0022] The product value obtained by multiplying the internal injury evaluation coefficient of the normal battery and the numerical value corresponding to the defect evaluation value is set as the normal operation evaluation coefficient, and the normal operation interference weight Ck of the normal battery whose normal operation evaluation coefficient is in the preset normal operation evaluation coefficient range is obtained; the product value obtained by multiplying the internal injury evaluation coefficient of the abnormal battery and the numerical value corresponding to the defect evaluation value is set as the abnormal operation evaluation coefficient, and the abnormal operation interference weight Fm of the interference battery whose abnormal operation evaluation coefficient is in the preset abnormal operation evaluation coefficient range is obtained, wherein k and m are both natural numbers greater than zero.

[0023] Preferably, the external energy storage interference assessment impact division analysis process is as follows:

[0024] Auxiliary facilities of the energy storage power station within the time threshold are obtained, the auxiliary facilities include energy storage inverters and ventilation fans, and external interference energy storage information of each auxiliary facility is obtained. The external interference energy storage information indicates the product of the portion of the auxiliary facility's operating efficiency that is lower than a preset operating efficiency threshold and the work performance level after data normalization processing. The external interference energy storage information is discriminated and processed to obtain energy storage interference facilities, and the auxiliary energy storage evaluation coefficient is set as the ratio of the corresponding number of energy storage interference facilities to the total number of auxiliary facilities. The auxiliary energy storage evaluation coefficient is discriminated and processed to obtain a stable signal or an influencing signal.

[0025] Preferably, the work performance level indicates that the automatic adjustment response speed of the auxiliary facility is within a set level value corresponding to a preset automatic adjustment response speed range, and the automatic adjustment response speed indicates the time between generating an adjustment instruction and executing the adjustment instruction.

[0026] The beneficial effects of the present invention are as follows:

[0027] 1. The present invention analyzes the energy storage process of the energy storage power station to understand whether the energy storage is normal during the energy storage process of the energy storage power station, that is, the energy storage parameter information is evaluated and analyzed for abnormal risks during the energy storage process period, so as to intuitively understand whether the energy storage of the energy storage power station is normal, so as to make targeted management based on the feedback information, so as to improve the energy storage safety and stability of the energy storage power station;

[0028] 2. The present invention analyzes from two points of view, energy storage batteries and auxiliary facilities, by means of information feedback, so as to determine whether the energy storage anomaly of the energy storage power station is caused by the anomaly of the energy storage batteries and auxiliary facilities, so as to carry out targeted management of the energy storage batteries or auxiliary facilities according to the information feedback, so as to improve the stability and reliability of the energy storage process of the energy storage batteries. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The present invention will be further described below in conjunction with the accompanying drawings;

[0030] Figure 1 It is a reference analysis diagram of the method of the present invention;

[0031] Figure 2 It is a local analysis reference diagram of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] Embodiment 1:

[0034] See also Figure 1 to Figure 2 As shown, the present invention is a novel method for detecting abnormal energy storage data of a smart energy storage power station, comprising the following steps:

[0035] Step 1: Collect energy storage parameter information from the perspective of the energy storage process of the energy storage power station, and conduct abnormal risk assessment and analysis of the energy storage parameter information during the energy storage process period, perform discrimination processing on the obtained energy storage period deviation value TDg, and output the obtained normal signal or abnormal signal as feedback;

[0036] Step 2: Based on the abnormal signal, the energy storage status information and energy storage interference information of the energy storage battery are collected, and the energy storage interference information is substituted into step 4 for operation calibration evaluation division feedback analysis, and the energy storage status information is subjected to the time period battery energy storage abnormality evaluation and processing operation;

[0037] Step 3: Based on the energy storage abnormal interference coefficient obtained under the time period battery energy storage abnormality evaluation and processing operation, the obtained energy storage abnormal interference coefficient is judged and processed, and the obtained qualified signal or energy storage interference signal is fed back and output;

[0038] Step 4: Based on the information progressive method, the energy storage interference information is calibrated, evaluated, divided and feedback analyzed, and the normal operation interference weight Ck and abnormal operation interference weight Fm obtained are fed back to step 3;

[0039] Step 5: Based on the abnormal signal, the impact of external energy storage interference evaluation is divided and analyzed from the perspective of auxiliary energy storage of the energy storage power station, the obtained auxiliary energy storage evaluation coefficient is discriminated and processed, and the obtained stable signal or impact signal is fed back and output;

[0040] The present invention analyzes the energy storage process of the energy storage power station to understand whether the energy storage is normal during the energy storage process of the energy storage power station, that is, the energy storage parameter information is evaluated and analyzed for abnormal risk during the energy storage process period, so as to intuitively understand whether the energy storage of the energy storage power station is normal, so as to make targeted management based on the feedback information, so as to improve the energy storage safety and stability of the energy storage power station;

[0041] By means of information feedback, analysis is conducted from two points: energy storage batteries and auxiliary facilities, so as to determine whether the energy storage anomaly of the energy storage power station is caused by the anomaly of the energy storage batteries and auxiliary facilities, so as to carry out targeted management of the energy storage batteries or auxiliary facilities according to the information feedback, so as to improve the stability and reliability of the energy storage process of the energy storage batteries;

[0042] The abnormal risk assessment and analysis process of the energy storage process period is as follows:

[0043] The operating time period of the energy storage power station is collected and set as the time threshold, and the energy storage parameter information of the energy storage power station within the time threshold is obtained. The energy storage parameter information includes energy storage rate, storage amount, etc., and the standard energy storage parameter information of the normal energy storage power station is obtained at the same time;

[0044] The working condition impact information of the energy storage power station within the time threshold is obtained, and the working condition impact information includes mechanical vibration amplitude, operating temperature, etc., and the number of values ​​corresponding to the working condition impact information exceeding the preset threshold is set as the working impact index, and then the error correction factor corresponding to the working impact index in the preset working impact index interval is obtained;

[0045] In the embodiment of the present invention, each preset work impact index interval corresponds to an error correction factor;

[0046] The parameter in the energy storage parameter information is set to g, where g is a natural number greater than zero. It should be noted that when g=1, it indicates the energy storage rate, when g=2, it indicates the energy storage amount, and so on;

[0047] The product value obtained by multiplying the corresponding value of each parameter in the energy storage parameter information within the time threshold with the value of the error correction factor after data normalization is set as the corrected energy storage parameter information, and the corrected energy storage parameter information is compared and analyzed with the standard energy storage parameter information. The difference between the corrected energy storage parameter information and the standard energy storage parameter information is set as the energy storage period deviation value TDg, and the energy storage period deviation value TDg is discriminated:

[0048] If the energy storage period deviation value TDg is less than the preset energy storage period deviation value threshold, a normal signal is generated;

[0049] If the energy storage period deviation value TDg is not less than the preset energy storage period deviation value threshold, an abnormal signal is generated. When a normal signal or an abnormal signal is generated, a feedback warning operation corresponding to the normal signal or the abnormal signal is immediately performed, so as to intuitively understand whether the energy storage of the energy storage power station is normal, so as to make targeted management based on the feedback information, so as to improve the energy storage safety and stability of the energy storage power station.

[0050] Embodiment 2:

[0051] Based on the premise of abnormal signals, the energy storage status information of the energy storage battery is collected, and the energy storage status information is subjected to the time period battery energy storage abnormality evaluation and processing operation, that is, the energy storage status of the energy storage battery is analyzed from the perspective of the energy storage status, and the interference weight of each energy storage battery is analyzed at the same time to improve the analysis accuracy of the energy storage battery. The specific time period battery energy storage abnormality evaluation and processing operation process is as follows:

[0052] The energy storage battery in the energy storage power station is set to n, where n is a natural number greater than zero, and the energy storage status information of each energy storage battery in the energy storage power station within the time threshold is obtained. The energy storage status information includes an operating condition evaluation index and a characteristic performance coefficient. The product of the operating condition evaluation index and the characteristic performance coefficient is set as the battery evaluation coefficient, and the normal operation interference weight Ck and abnormal operation interference weight Fm corresponding to each energy storage battery are obtained;

[0053] The value obtained by multiplying the battery evaluation coefficient of each energy storage battery with the corresponding normal operation interference weight Ck or abnormal operation interference weight Fm is set as the energy storage defect evaluation coefficient Pn, and the energy storage defect evaluation coefficient Pn is discriminated: if the energy storage defect evaluation coefficient Pn is greater than or equal to the preset energy storage defect evaluation coefficient threshold, the corresponding energy storage battery is judged to be an interference battery, and the ratio between the corresponding number of interference batteries and n is set as the energy storage abnormal interference coefficient, and the energy storage abnormal interference coefficient is discriminated:

[0054] If the energy storage abnormal interference coefficient is less than the preset energy storage abnormal interference coefficient threshold, a qualified signal is generated;

[0055] If the energy storage abnormal interference coefficient is greater than or equal to the preset energy storage abnormal interference coefficient threshold, an energy storage interference signal is generated. When a qualified signal or an energy storage interference signal is generated, a feedback warning operation corresponding to the qualified signal or the energy storage interference signal is immediately performed, so as to intuitively understand whether the energy storage abnormality of the energy storage power station is caused by energy storage battery interference;

[0056] In the embodiment of the present invention, the operating condition evaluation index indicates the number of deviations of the corresponding values ​​of the parameter information of each energy storage battery from the set range, and the parameter information includes voltage, current, etc. It should be noted that the operating condition evaluation index is an influencing parameter reflecting the failure of the energy storage battery;

[0057] In the embodiment of the present invention, the characteristic performance coefficient represents the difference between the maximum operating temperature and the initial temperature of each energy storage battery. It should be noted that the larger the value of the characteristic performance coefficient is, the greater the risk of abnormal performance of the energy storage battery is;

[0058] Based on the progressive information method, the energy storage interference information is calibrated, evaluated, divided, and feedback analyzed to understand the normal operation interference weight Ck or abnormal operation interference weight Fm of each energy storage battery. The specific operation calibration, evaluation, division, feedback analysis process is as follows:

[0059] Obtain the energy storage interference information of each energy storage battery in the energy storage power station within the time threshold, the energy storage interference information includes the internal damage evaluation coefficient and the defect assessment value;

[0060] In the embodiment of the present invention, the internal injury evaluation coefficient represents the product value obtained by multiplying the battery capacity attenuation value and the internal resistance value of each energy storage battery after data normalization processing;

[0061] In the embodiment of the present invention, the defect assessment value indicates the number of defect features in the appearance feature image of each energy storage battery, and the defect features include bulges, depressions, etc. It should be noted that the larger the defect assessment value, the greater the energy storage abnormality risk of each energy storage battery;

[0062] Compare and analyze the internal injury evaluation coefficient and the defect evaluation value with the preset internal injury evaluation coefficient threshold and the preset defect evaluation value threshold, and set the number of the internal injury evaluation coefficient and the defect evaluation value that is greater than the preset defect evaluation value threshold as the evaluation risk coefficient. If the evaluation risk coefficient is equal to zero, the corresponding energy storage battery is determined to be a normal battery. If the evaluation risk coefficient is not equal to zero, the corresponding energy storage battery is determined to be an interference battery.

[0063] The product value obtained by multiplying the internal injury evaluation coefficient of the normal battery and the numerical value corresponding to the defect evaluation value is set as the normal operation evaluation coefficient, and the normal operation interference weight Ck of the normal operation evaluation coefficient of the normal battery is obtained in the preset normal operation evaluation coefficient interval; the product value obtained by multiplying the internal injury evaluation coefficient of the abnormal battery and the numerical value corresponding to the defect evaluation value is set as the abnormal operation evaluation coefficient, and the abnormal operation interference weight Fm of the abnormal operation evaluation coefficient of the interference battery is obtained in the preset abnormal operation evaluation coefficient interval, wherein k and m are both natural numbers greater than zero;

[0064] In the embodiment of the present invention, an operation interference weight is set for each preset normal operation evaluation coefficient interval of a normal battery, and C1<C2<C3…<Ck; an abnormal operation interference weight is set for each preset abnormal operation evaluation coefficient interval of an abnormal battery, and F1<F2<F3…<Fm.

[0065] Implementation three:

[0066] Based on the premise of abnormal signals, the external energy storage interference assessment impact division analysis is carried out from the perspective of auxiliary energy storage of energy storage power stations. The specific external energy storage interference assessment impact division analysis process is as follows:

[0067] Auxiliary facilities of the energy storage power station within the time threshold are obtained, and the auxiliary facilities include energy storage converters, ventilation fans, etc. The external interference energy storage information of each auxiliary facility is obtained. The external interference energy storage information indicates the product value obtained by multiplying the part of the auxiliary facility's operating efficiency lower than the preset operating efficiency threshold by the work performance level after data normalization, and the external interference energy storage information is discriminated. If the external interference energy storage information is greater than or equal to the preset external interference energy storage information threshold, the corresponding auxiliary facility is determined to be an energy storage interference facility, and the auxiliary energy storage evaluation coefficient is set as the ratio of the corresponding number of energy storage interference facilities to the total number of auxiliary facilities, and the auxiliary energy storage evaluation coefficient is discriminated:

[0068] If the auxiliary energy storage evaluation coefficient is less than the preset auxiliary energy storage evaluation coefficient threshold, a stable signal is generated;

[0069] If the auxiliary energy storage evaluation coefficient is greater than or equal to the preset auxiliary energy storage evaluation coefficient threshold, an impact signal is generated. When a stable signal or an impact signal is generated, a feedback warning operation corresponding to the stable signal or the impact signal is immediately performed, so as to intuitively understand whether the auxiliary facilities are abnormal interference factors in the energy storage process of the energy storage power station, so as to carry out targeted management of the energy storage interference facilities, so as to reduce the impact of the auxiliary facilities on the energy storage process of the energy storage power station, so as to improve the energy storage stability and reliability of the energy storage power station;

[0070] In the embodiment of the present invention, the work performance level indicates that the automatic adjustment response speed of the auxiliary facility is within the set level value corresponding to the preset automatic adjustment response speed range, and the automatic adjustment response speed indicates the time between generating the adjustment instruction and executing the adjustment instruction. It should be noted that the larger the value of the work performance level, the greater the abnormal risk of the auxiliary facility;

[0071] It should be noted that each preset automatic adjustment response speed interval is set with a setting level value, and the setting level value increases with the ascending order of the preset automatic adjustment response speed intervals, that is, the setting level value corresponding to the first preset automatic adjustment response speed interval is smaller than the setting level value corresponding to the second preset automatic adjustment response speed interval, the setting level value corresponding to the second preset automatic adjustment response speed interval is smaller than the setting level value corresponding to the third preset automatic adjustment response speed interval, and so on;

[0072] In summary, the present invention analyzes from the perspective of the energy storage process of the energy storage power station, that is, performs abnormal risk assessment analysis on the energy storage parameter information during the energy storage process, so as to intuitively understand whether the energy storage of the energy storage power station is normal, so as to make targeted management based on the feedback information, so as to improve the energy storage safety and stability of the energy storage power station, and analyzes from two points of energy storage batteries and auxiliary facilities through information feedback, so as to make targeted management of energy storage batteries or auxiliary facilities based on the information feedback, so as to improve the stability and reliability of the energy storage process of the energy storage battery.

[0073] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0074] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A novel method for detecting abnormal energy storage data in a smart energy storage power station, characterized in that: The following steps are involved: Step 1: Collect energy storage parameter information from the perspective of the energy storage process of the energy storage power station, and conduct abnormal risk assessment analysis of the energy storage parameter information during the energy storage process period, perform discrimination processing on the energy storage period deviation value TDg obtained by the analysis, and feedback and output the normal signal or abnormal signal obtained by the discrimination processing; The parameter in the energy storage parameter information is set to g, where g is a natural number greater than zero; Step 2: Based on the abnormal signal, the energy storage status information and energy storage interference information of the energy storage battery are collected, and the energy storage interference information is substituted into step 4 for operation calibration evaluation division feedback analysis, and the energy storage status information is subjected to the time period battery energy storage abnormality evaluation and processing operation; Step 3: Based on the energy storage abnormal interference coefficient obtained under the time period battery energy storage abnormality evaluation and processing operation, the obtained energy storage abnormal interference coefficient is judged and processed, and the obtained qualified signal or energy storage interference signal is fed back and output; Specifically, it includes: collecting the operating time period of the energy storage power station and setting it as the time threshold, setting the energy storage battery in the energy storage power station to n, where n is a natural number greater than zero, obtaining the energy storage status information of each energy storage battery in the energy storage power station within the time threshold, the energy storage status information including the working condition evaluation index and the characteristic performance coefficient, and setting the product of the corresponding values ​​of the working condition evaluation index and the characteristic performance coefficient as the battery evaluation coefficient; The value obtained by multiplying the battery evaluation coefficient of each energy storage battery by the corresponding normal operation interference weight Ck or abnormal operation interference weight Fm is set as the energy storage defect evaluation coefficient Pn, and the energy storage defect evaluation coefficient Pn is discriminated: if the energy storage defect evaluation coefficient Pn is greater than or equal to the preset energy storage defect evaluation coefficient threshold, the corresponding energy storage battery is determined to be an interference battery, and the ratio between the corresponding number of interference batteries and the total number of energy storage batteries is set as the energy storage abnormal interference coefficient, and the energy storage abnormal interference coefficient is discriminated to obtain a qualified signal or an energy storage interference signal; The operating condition evaluation index indicates the number of deviations of the corresponding values ​​of the parameter information of each energy storage battery from the set range, and the parameter information includes voltage and current; the characteristic performance coefficient indicates the difference between the maximum operating temperature and the initial temperature of each energy storage battery; Step 4: Based on the progressive information method, the energy storage interference information is subjected to operation calibration evaluation and feedback analysis, and the normal operation interference weight Ck and abnormal operation interference weight Fm obtained by the analysis are fed back to step 3, where k and m are both natural numbers greater than zero; Step 5: Based on the abnormal signal, the external energy storage interference evaluation impact is divided and analyzed from the perspective of auxiliary energy storage of the energy storage power station, the auxiliary energy storage evaluation coefficient obtained by the analysis is discriminated and processed, and the stable signal or impact signal obtained by the discrimination processing is fed back and output.

2. According to claim 1, a new type of intelligent energy storage power station energy storage data anomaly detection method is characterized in that: The abnormal risk assessment and analysis process of the energy storage process period is as follows: The energy storage parameter information of the energy storage power station within the time threshold is obtained, and the energy storage parameter information includes the energy storage rate and the storage amount, and the standard energy storage parameter information of the normal energy storage power station is obtained at the same time; the working condition impact information of the energy storage power station within the time threshold is obtained, and the working condition impact information includes the mechanical vibration amplitude and the operating temperature, and the number of values ​​corresponding to the working condition impact information exceeding the preset threshold is set as the working impact index, and then the error correction factor corresponding to the working impact index in the preset working impact index interval is obtained; The product value obtained by multiplying the corresponding value of each parameter in the energy storage parameter information within the time threshold with the error correction factor after data normalization is set as the corrected energy storage parameter information, the corrected energy storage parameter information is compared and analyzed with the standard energy storage parameter information, the difference between the corrected energy storage parameter information and the standard energy storage parameter information is set as the energy storage period deviation value TDg, and the energy storage period deviation value TDg is discriminated and processed to obtain a normal signal or an abnormal signal.

3. According to claim 1, a new type of intelligent energy storage power station energy storage data anomaly detection method is characterized in that: The operation calibration evaluation division feedback analysis process is as follows: The energy storage interference information of each energy storage battery in the energy storage power station within the time threshold is obtained, and the energy storage interference information includes an internal injury evaluation coefficient and a defect evaluation value; the internal injury evaluation coefficient represents the product value obtained by multiplying the battery capacity attenuation value and the internal resistance value of each energy storage battery after data normalization; the defect evaluation value represents the number of defect features in the appearance feature image of each energy storage battery, and the defect features include bulges and depressions; Compare and analyze the internal injury evaluation coefficient and the defect evaluation value with the preset internal injury evaluation coefficient threshold and the preset defect evaluation value threshold, set the number of internal injury evaluation coefficients and defect evaluation values ​​that are greater than the preset internal injury evaluation coefficient threshold and the preset defect evaluation value threshold as the evaluation risk coefficient, and perform discrimination processing on the evaluation risk coefficient to obtain normal batteries and interference batteries; The product value obtained by multiplying the internal injury evaluation coefficient of the normal battery and the numerical value corresponding to the defect evaluation value is set as the normal operation evaluation coefficient, and the normal operation interference weight Ck of the normal battery whose normal operation evaluation coefficient is in the preset normal operation evaluation coefficient range is obtained; the product value obtained by multiplying the internal injury evaluation coefficient of the interference battery and the numerical value corresponding to the defect evaluation value is set as the abnormal operation evaluation coefficient, and the abnormal operation interference weight Fm of the interference battery whose abnormal operation evaluation coefficient is in the preset abnormal operation evaluation coefficient range is obtained.

4. According to claim 1, a new type of intelligent energy storage power station energy storage data anomaly detection method is characterized in that: The external energy storage interference assessment impact division analysis process is as follows: Auxiliary facilities of the energy storage power station within the time threshold are obtained, the auxiliary facilities include energy storage converters and ventilation fans, and external interference energy storage information of each auxiliary facility is obtained, the external interference energy storage information represents the product value obtained by multiplying the portion of the auxiliary facility's operating efficiency that is lower than the preset operating efficiency threshold by the work performance level after data normalization, and the external interference energy storage information is discriminated to obtain energy storage interference facilities, the ratio of the corresponding number of energy storage interference facilities to the total number of auxiliary facilities is set as the auxiliary energy storage evaluation coefficient, and the auxiliary energy storage evaluation coefficient is discriminated to obtain a stable signal or an impact signal; The work performance level indicates that the automatic adjustment response speed of the auxiliary facility is within the set level value corresponding to the preset automatic adjustment response speed range, and the automatic adjustment response speed indicates the time between generating the adjustment instruction and executing the adjustment instruction.

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