CN114511417A - Energy storage power station monitoring method and system and storage medium - Google Patents
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Abstract
The application provides a method and a system for monitoring an energy storage power station and a storage medium. The method comprises the steps of obtaining the average value of parameters to be measured of N energy storage units in the energy storage power station in the same preset time period, wherein the parameters to be measured are used for representing characteristic quantities capable of reflecting abnormal operation of the energy storage power station; acquiring test statistics of the mean value of the parameters to be tested of each energy storage unit group, wherein the energy storage unit groups are used for representing a combination consisting of M energy storage units in the energy storage system; acquiring a judgment threshold corresponding to a preset inspection level, and judging that the to-be-detected parameters of the energy storage unit group have differences under the condition that the absolute value of the inspection statistic is greater than the judgment threshold; and determining the abnormal energy storage unit. The application also provides an energy storage power station monitoring system and a storage medium. By the energy storage power station monitoring method, consistency analysis is carried out by using difference hypothesis test of key parameter mean values, abnormity of the energy storage power station is found in time, and problems are rapidly handled.
Description
Technical Field
The application relates to the technical field of electrochemical energy storage, in particular to a method and a system for monitoring an energy storage power station and a storage medium.
Background
With the rapid development of the energy storage industry in recent years, energy storage power stations of tens of megawatts and hundreds of megawatts become common configurations, and monitoring of the energy storage power stations has important practical significance for improving the safety stability and the electric energy quality level of a power grid, improving power transmission and transformation capacity, increasing the power supply reliability of energy storage equipment, promoting renewable energy sources to be accessed into the power grid on a large scale, identifying abnormality in time, finding fault types and early warning in advance.
At present, the safety monitoring of the energy storage power station is mainly realized by a BMS (Battery Management System), and a Battery is taken as a core for real-time monitoring and alarming. And for the key parameters of the energy storage unit, a monitoring alarm mode with a fixed threshold value is adopted. The key parameters can be voltage, current, temperature and the like of the battery core, thresholds aiming at different parameters are set in advance, states of all parameters of the energy storage unit are monitored by the BMS, and alarm is carried out when the corresponding thresholds are reached. However, in this way, when the alarm information is received, the problem is already in a relatively serious state, which may cause that measures cannot be taken to deal with the fault in time, and damage is caused to the system; or the fixed threshold value is manually reduced, and because the parameters of the energy storage unit are always in a fluctuation change state, the alarm can be triggered when the instantaneous peak value reaches the threshold value, and the false alarm phenomenon wastes a large amount of resources.
Disclosure of Invention
In order to overcome the above defects of the existing energy storage power station monitoring method, the embodiment of the application provides an energy storage power station monitoring method, an energy storage power station monitoring system and a storage medium.
In a first aspect, an embodiment of the present application provides an energy storage power station monitoring method, where the method includes: acquiring the mean value of parameters to be measured of N energy storage units in the energy storage power station in the same preset time period, wherein the parameters to be measured are used for representing characteristic quantities capable of reflecting the abnormal operation of the energy storage power station; obtaining test statistics of the mean value of the parameters to be tested of each energy storage unit group, wherein the energy storage unit groups are used for representing a combination consisting of M energy storage units in the energy storage system; acquiring a judgment threshold corresponding to a preset inspection level, and judging that the to-be-detected parameters of the energy storage unit group have differences under the condition that the absolute value of the inspection statistic is greater than the judgment threshold; and determining the energy storage units with abnormality according to the energy storage unit groups with the differences.
In some embodiments, the parameters to be measured include voltage, current, temperature, state of charge, and state of health indicators, and the preset time period is determined according to a variation cycle of each of the parameters to be measured.
In some embodiments, the test statistic is determined according to the mean value of the energy storage unit groups, the number of sampling values of the parameter to be tested, and the variance of the sampling values of the parameter to be tested.
In some embodiments, the test level is used to represent an acceptable probability of misjudging the difference of the parameters to be tested of the energy storage unit group, and the decision threshold is used to represent a boundary value of a set of all possible values of the test statistic, which is determined according to a preset test level and can be used to judge the difference of the parameters to be tested of the energy storage unit group.
In some embodiments, the determining, according to the energy storage unit groups with differences, that an abnormal energy storage unit exists includes: obtaining a measured value and a reference value of the parameter to be measured of each energy storage unit in the energy storage unit groups with the differences at the current moment; and acquiring the deviation between the measured value of the parameter to be measured of each energy storage unit and the reference value, and judging that the energy storage unit is the abnormal energy storage unit under the condition that the absolute value of the deviation is greater than a preset threshold value, wherein the preset threshold value is used for representing the maximum deviation value of the energy storage unit in a normal state.
In some embodiments, the energy storage power station has a layered structure, and is divided into multiple levels according to an energy storage container, an energy storage cabinet, and an energy storage battery cell, where the energy storage container, the energy storage cabinet, and the energy storage battery cell are respectively used as energy storage units of an energy storage power station level, an energy storage container level, an energy storage cabinet level, and an energy storage battery cell level, and the method further includes: respectively obtaining the test statistic of each energy storage unit group, judging the energy storage unit groups with differences according to a judgment threshold value, and determining the hierarchy of the energy storage unit groups with differences as the hierarchy with inconsistency; detecting the to-be-detected parameters of the energy storage units in the hierarchy with the inconsistency, and determining the energy storage units with the abnormity; and acquiring the relative position number of the abnormal energy storage unit, generating alarm information containing the relative position number, and sending the alarm information to a central control host of the energy storage power station.
Wherein, in some embodiments, the method further comprises: the method further comprises the following steps: configuring relative position information of a newly increased energy storage unit and associated lower-layer energy storage unit information, wherein the relative position information is used for representing a relative position number of the newly increased energy storage unit in a target level; and acquiring alarm information of the lower-layer energy storage unit, and sending the alarm information to a central control host of the energy storage power station.
In a second aspect, an embodiment of the present application provides an energy storage power station monitoring system, where the system includes: a first obtaining module: the method comprises the steps of obtaining an average value of parameters to be measured of N energy storage units in the energy storage power station in the same preset time period, wherein the parameters to be measured are used for representing characteristic quantities capable of reflecting abnormal operation of the energy storage power station; a second obtaining module: the device comprises a mean value acquisition unit, a parameter comparison unit and a parameter comparison unit, wherein the mean value acquisition unit is used for acquiring a test statistic of a mean value difference of the parameters of each energy storage unit group according to the mean value, and the energy storage unit groups are used for representing a combination consisting of M energy storage units in the energy storage system; a third obtaining module: the judgment threshold value corresponding to a preset inspection level is obtained, and the difference of the to-be-detected parameters of the energy storage unit group is judged under the condition that the absolute value of the inspection statistic is larger than the judgment threshold value; a determination module: and the energy storage units with the abnormity are determined according to the energy storage unit groups with the differences.
In a third aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executable by one or more processors to implement the energy storage power station monitoring method according to the first aspect.
By adopting the scheme, the problem that abnormity cannot be found in advance and timely processed when the energy storage power station is monitored in the prior art can be solved, effective monitoring of the energy storage power station is realized, early abnormal signs can be found, and the problem can be timely processed.
Drawings
Fig. 1 is a flowchart of a method for monitoring an energy storage power station according to this embodiment;
FIG. 2 is a schematic diagram of a layered structure of an energy storage power station provided in this embodiment;
fig. 3 is a schematic structural diagram of an energy storage power station monitoring system provided in this embodiment.
Reference numerals: 1. the device comprises a first obtaining module, a second obtaining module, a third obtaining module and a determining module.
Detailed Description
For a clearer understanding of the objects, technical solutions and advantages of the present application, the present application will be described and illustrated below with reference to the accompanying drawings and examples.
For a clearer understanding of the objects, aspects and advantages of the present application, reference is made to the following description and accompanying drawings. However, it will be apparent to one of ordinary skill in the art that the present application may be practiced without these specific details. In some instances, well known methods, procedures, systems, components, and/or circuits have been described at a higher level without undue detail in order to avoid obscuring aspects of the application with unnecessary detail. It will be apparent to those of ordinary skill in the art that various changes can be made to the embodiments disclosed herein, and that the general principles defined herein may be applied to other embodiments and applications without departing from the principles and scope of the present application. Thus, the present application is not limited to the embodiments shown, but is to be accorded the widest scope consistent with the scope of the present application as claimed.
Unless defined otherwise, technical or scientific terms referred to herein shall have the same general meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application, the terms "a," "an," "the," and the like do not denote a limitation of quantity, but rather are used in the singular or the plural. The terms "comprises," "comprising," "has," "having," and any variations thereof, as referred to in this application, are intended to cover non-exclusive inclusions; for example, a process, method, and system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or modules, but may include other steps or modules (elements) not listed or inherent to such process, method, article, or apparatus.
Reference to "a plurality" in this application means two or more. In general, the character "/" indicates a relationship in which the objects associated before and after are an "or". The terms "first," "second," "third," and the like in this application are used for distinguishing between similar items and not necessarily for describing a particular sequential or chronological order.
The terms "system," "engine," "unit," "module," and/or "block" referred to herein is a method for distinguishing, by level, different components, elements, parts, components, assemblies, or functions of different levels. These terms may be replaced with other expressions capable of achieving the same purpose. In general, reference herein to a "module," "unit," or "block" refers to a collection of logic or software instructions embodied in hardware or firmware. The "modules," "units," or "blocks" described herein may be implemented as software and/or hardware, and in the case of implementation as software, they may be stored in any type of non-volatile computer-readable storage medium or storage device.
In some embodiments, software modules/units/blocks may be compiled and linked into an executable program. It will be appreciated that software modules may be invokable from other modules/units/blocks or from themselves, and/or may be invoked in response to detected events or interrupts. The software modules/units/blocks configured for execution on the computing device may be provided on a computer readable storage medium, such as a compact disk, digital video disk, flash drive, magnetic disk, or any other tangible medium, or downloaded as digital (and may be initially stored in a compressed or installable format that requires installation, decompression, or decryption prior to execution). Such software code may be stored partially or wholly on a storage device of the executing computing device and applied in the operation of the computing device. The software instructions may be embedded in firmware, such as an EPROM. It will also be appreciated that the hardware modules/units/blocks may be included in connected logic components, such as gates and flip-flops, and/or may be included in programmable units, such as programmable gate arrays or processors. The modules/units/blocks or computing device functions described herein may be implemented as software modules/units/blocks, and may also be represented in hardware or firmware. Generally, the modules/units/blocks described herein may be combined with other modules/units/blocks or, although they are physically organized or stored, may be divided into sub-modules/sub-units/sub-blocks. The description may apply to the system, the engine, or a portion thereof.
It will be understood that when an element, engine, module or block is referred to as being "on," "connected to" or "coupled to" another element, engine, module or block, it can be directly on, connected or coupled to or in communication with the other element, engine, module or block, or intervening elements, engines, modules or blocks may be present, unless the context clearly dictates otherwise. In this application, the term "and/or" may include any one or more of the associated listed items or combinations thereof.
The operation of the energy storage power station is coordinated by a plurality of energy storage units to act together, generally, thousands of energy storage units carry out charging and discharging work simultaneously, under the normal operation state, the operation parameters of different energy storage units should be kept consistent theoretically, and the inconsistent degree of the operation parameters can directly influence the operation efficiency, the comprehensive performance and even the safety of the energy storage power station. Therefore, the operation parameters are considered as the key parameters of the energy storage units, and whether abnormal signs exist in the energy storage power station can be judged by carrying out consistency check on the key parameters of different energy storage units, so that treatment measures can be taken in time. In consideration of the fact that the key parameters are in a continuous fluctuation change state, the consistency condition of each energy storage unit cannot be accurately reflected by taking the sampling values at a single moment for consistency detection, so that the method and the device adopt the mean value of the sampling values of the key parameters in a certain time period for difference hypothesis detection, the consistency judgment result has higher reliability, and the abnormity monitoring effect of the energy storage power station is improved.
Hypothesis testing is a rule that examines two opposite hypotheses about a sample population based on evidence provided by the sample data: original hypothesis and alternate hypothesis. The original hypothesis is the statement to be examined, and typically, the original hypothesis states "no effect" or "no difference". An alternative assumption is a statement that one wishes to draw a true conclusion from evidence provided by the sample data. The test determines whether to negate the original hypothesis based on the sample data. The determination may be made using a p-value, which is used to measure the strength of the data evidence against the original hypothesis. In general, the smaller the p-value, the more powerful the sample evidence is to negate the original hypothesis. More specifically, the p value is the minimum alpha value that results in negating the original hypothesis. If the value of p is less than the verify level α, the original assumption may be negated. The p value can be obtained by calculating test statistics, the test statistics can measure the consistency between the data sample and the original hypothesis and determine whether to reject the original hypothesis, different test statistics are used for different hypothesis tests according to the assumed probability model in the original hypothesis, and common hypothesis tests comprise Z test, T test, variance analysis, chi-square test and the like.
Example one
Fig. 1 is a flowchart of an energy storage power station monitoring method provided in an embodiment of the present application, and as shown in fig. 1, in an embodiment, a method for monitoring an energy storage power station is provided, which specifically includes the following steps:
step S101, selecting a certain characteristic quantity capable of reflecting the abnormal operation of the energy storage power station as a parameter to be measured, respectively sampling the parameter to be measured in N energy storage units of the energy storage power station in the same preset time period to obtain N sampling values of each energy storage unit related to the parameter to be measured, and respectively averaging to obtain N average values of the N energy storage units related to the parameter to be measured.
Step S102, grouping N energy storage units in the energy storage power station, enabling each group to contain M energy storage units, and obtaining one energy storage unit
And different energy storage unit groups acquire the test statistic of each energy storage unit group about the mean value of the parameter to be tested.
And step S103, acquiring a corresponding judgment threshold value under a preset inspection level, and judging that the to-be-detected parameters of the energy storage unit group have differences when the absolute value of the inspection statistic is greater than the judgment threshold value.
And step S104, aiming at the energy storage unit groups with the differences, determining the energy storage units with the abnormalities.
Through the steps, the mean value of each energy storage unit in a certain time period with respect to the key parameter is obtained, then the energy storage unit groups with differences are judged according to the test statistic and the judgment threshold, and the abnormal energy storage units in the energy storage unit groups are determined. Compared with the prior art, the problem that fixed threshold monitoring and early warning are not timely is solved, abnormity is identified by using inconsistency of key parameters among the energy storage units, and early discovery and early processing of abnormity problems of the energy storage power station are facilitated.
In an optional embodiment, the optional parameters to be measured include voltage, current, temperature, SOC (State Of Charge), SOH (State Of Health index), and the like, and further, in consideration Of the fact that the fluctuation cycles Of different parameters during normal operation Of the energy storage power station are different, the setting Of the preset time period is determined according to the actually selected change cycle Of the parameters to be measured.
By the method, a certain key parameter is selected as a parameter to be measured, the sampling time period is determined according to the actual change rule of the selected parameter, specific problem analysis can be achieved, and the consistency condition can be reflected more accurately.
In an alternative embodiment, in step S102, a T test may be used to determine whether there is a difference in the parameter mean of each energy storage unit, where the corresponding test statistic T is a function of the mean, and may be determined according to the parameter mean, the number of acquired parameter sample values, and the variance of the parameter sample values of each energy storage unit in the energy storage unit group. For example, taking an energy storage unit group containing 2 energy storage units as an example, sampling and calculating to obtain respective parameter sampling average values of two energy storage units
And
then the test statistic T of the energy storage unit group can be obtained by the following formula,
in the formula (I), the compound is shown in the specification,
and
the variance of the two energy storage units with respect to the n sampled values of the parameter to be measured,
and
and the number of the two energy storage units related to the parameter sampling value to be measured.
In the above manner, the test statistic of the performed T-test is a function of the mean value, taking advantage of the accurate reflection of the mean value on the actual state of change and consistency of the parameter.
In statistics, we can not directly test alternative hypotheses, but can only directly test original hypotheses. Hypothesis testing can be classified into single-sided hypothesis testing and double-sided hypothesis testing depending on whether the directionality of the test is emphasized. The one-sided test is strongly concerned with whether the study subject is above or below a certain level, while the two-sided test values are concerned with whether there is a difference between the two overall parameters. Therefore, in this embodiment, a double-sided test is used to determine the difference. In hypothesis testing, it can be determined by two methods whether there is sufficient evidence in a sample to negate the original hypothesis or not. One method is to compare the p-value with a pre-specified inspection level alpha value, and an equivalent method is to compare an inspection statistic value calculated based on the data with a threshold value.
In an alternative embodiment, in step S103, since there is always a probability that an incorrect conclusion is drawn due to the hypothesis test, when the original hypothesis that the parameter to be measured does not have the difference is true during the hypothesis test, the probability that the original hypothesis is negated is the test level, that is, the test level represents the probability that the error determination parameter has the difference, and therefore, a lower test level α value is preset in advance to reduce the risk. The idea of hypothesis testing is to prove that the original hypothesis of "no difference" is wrong by the conclusion that "small probability events are almost impossible to achieve in a few experiments", and thus the alternative hypothesis of "difference" is likely to be correct. The set of all possible values of the test statistic which can reject the original hypothesis is called a rejection region, and the size of the rejection region has a certain relation with a pre-selected test level alpha. After the test level α has been determined, the specific decision threshold, i.e. the boundary value of the rejection region, can be determined by looking up the critical value table according to its size and the degree of freedom of the sampled samples.
The degree of freedom refers to the number of variables whose values are not limited when a certain statistic is calculated. Since the difference of the mean value is examined in the embodiment, the number of the sampling samples is n, and when the mean value is known, only n-1 sampling values are needed to be obtained to determine the remaining one sampling value, the degree of freedom of the embodiment is n-1. Table 1 is a T-test threshold table, which is obtained by looking up a table according to a preset test level and a degree of freedom, and performing a decision threshold of a double-sided test, as shown in Table 1
When is coming into contact with
And judging that the parameters of the two energy storage units have difference. The method of statistical hypothesis testing can also be extended to multivariate variables, taking the above example of testing with binary variables as a reference.
TABLE 1T test Critical value Table
By the mode, a lower inspection level is set, a judgment threshold value is obtained and is compared with inspection statistics, whether the parameters have differences or not is judged, certain adaptability is provided for distribution and change of parameter sampling data, and whether the differences with higher reliability are obvious or not can be analyzed.
In an alternative embodiment, step S104 includes: acquiring a measured value and a reference value of the parameter to be measured of each energy storage unit in the energy storage unit group with difference at the current moment and deviation between the measured value and the reference value, wherein the reference value can be the median of the measured values of the parameter to be measured of each energy storage unit, and the average can be taken as the reference value; and under the condition that the absolute value of the deviation is greater than a preset threshold value, judging that the energy storage unit is an abnormal energy storage unit, wherein the preset threshold value represents the maximum deviation value of the energy storage unit in the normal state, and screening the energy storage unit with relatively large deviation, namely the energy storage unit which can have a fault.
In the above manner, in the energy storage unit group for which the inconsistency has been determined, the energy storage unit in which the abnormality may exist is found out according to the magnitude of deviation of the measured value from the reference value. And a specific position where the abnormality is possibly generated is positioned, so that the fault handling and the equipment maintenance are facilitated.
The energy storage power station usually has a definite hierarchical relationship, fig. 2 is a schematic diagram of a hierarchical structure of the energy storage power station provided in this embodiment, as shown in fig. 2, the hierarchy from top to bottom may include the energy storage power station, an energy storage container (or a battery energy storage system), an energy storage cabinet (or a battery cluster), an energy storage electronic box (or a battery module), and an energy storage electric core (or a battery cell), and each level inside except an energy storage unit, there are other devices for connecting a large power grid, ensuring safety, and monitoring environment.
In an optional embodiment, the energy storage power station has a layered structure, and is divided into multiple levels according to an energy storage container, an energy storage cabinet and an energy storage battery cell, wherein the energy storage container, the energy storage cabinet and the energy storage battery cell are respectively used as energy storage units of the energy storage power station level, the energy storage container level, the energy storage cabinet level and the energy storage battery cell level, and each level includes an energy storage unit and other non-energy storage unit devices for connecting a large power grid, ensuring safety and monitoring environment.
Specifically, key equipment of the energy storage power station level comprises an energy storage container, a bidirectional converter, a transformer and the like, wherein in the level, the energy storage container can be set as a primary energy storage unit, an energy storage electric cabinet is set as a secondary energy storage unit, and a specific one-to-many mapping relation exists between a specific primary energy storage unit and a specific group of secondary energy storage units; key equipment of the energy storage container (battery energy storage system) level comprises an energy storage electric cabinet, a confluence cabinet, a control cabinet, an air conditioning system, a fire fighting system, an environment monitoring system (for monitoring temperature, humidity and other combustible concentration and the like) and the like, wherein in the level, the energy storage electric cabinet is set as a first-level energy storage unit, and an energy storage electric box is set as a second-level energy storage unit; the key equipment of the energy storage electric cabinet (battery cluster) level comprises an energy storage electric box and a main control box, wherein in the level, the energy storage electric box is set as a primary energy storage unit, and a battery core is set as a secondary energy storage unit; the key equipment of the energy storage electronic box (battery module) level comprises an energy storage electric core (battery monomer) and a cooling fan. Because the battery cell is the smallest energy storage unit, only one level of energy storage unit is arranged at the level as the battery cell.
In an optional embodiment, non-energy storage unit devices such as a bidirectional converter and an environmental monitoring system fan can be monitored by setting a multi-level alarm threshold.
For the energy storage unit equipment, the hierarchical structure of the energy storage power station can be utilized, and the hierarchical monitoring is realized by the following method: respectively obtaining the test statistic of each energy storage unit group, judging the energy storage unit groups with differences according to a judgment threshold value, and determining the hierarchy of the energy storage unit groups with differences as the hierarchy with inconsistency; detecting the parameters to be detected of each energy storage unit in the hierarchy with inconsistency, and determining the energy storage unit with abnormity; and acquiring the relative position number of the abnormal energy storage unit, generating alarm information containing the relative position number, and sending the alarm information to a central control host of the energy storage power station.
In an optional embodiment, in consideration of the requirement of capacity expansion of the energy storage power station, the relative position information of the newly added energy storage unit and the associated lower-layer energy storage unit information can be directly configured in the energy storage power station, and a global absolute path of the energy storage unit in the whole energy storage power station does not need to be configured. The relative position information is used for representing the relative position number of the target position of the newly-added energy storage unit in the target hierarchy to be added to the local hierarchy; when the energy storage power station normally operates, alarm information of the lower-layer energy storage unit is received in the monitoring process and is directly sent to a central control host of the energy storage power station.
For example, at the level of the electrical box, when an alarm occurs to a certain electrical core, the electrical box only needs to generate a new alarm message, and the relative position number of the electrical core in the electrical box is added in front of the alarm content; at the electric cabinet level, when the alarm of one electric cabinet is received, only a new alarm message needs to be generated, and the relative position number of the electric cabinet in the electric cabinet is added in front of the alarm content; at the level of the energy storage container, when the alarm of one electric cabinet is received, only a new alarm message needs to be generated, and the relative position number of the electric cabinet in the energy storage container is added in front of the alarm content; finally, at the level of the energy storage power station, when the alarm of one energy storage container is received, only a new alarm message needs to be generated, and the relative position number of the energy storage container in the energy storage power station is added in front of the alarm content. By means of the alarm information transmission link, the fault position can be quickly positioned at a power station monitoring level.
Through the mode, the tree-shaped topological structure with the energy storage power station as the root node and the battery core as the leaf node is formed, each level of the energy storage power station and safety-related equipment are brought into the monitoring range, hierarchical monitoring is achieved, and great convenience is brought to fault location and power station capacity expansion.
Example two
Fig. 3 is a schematic structural diagram of an energy storage power station monitoring system provided in this embodiment. As shown in fig. 3, the system includes: the first acquisition module 1: the method comprises the steps of obtaining an average value of parameters to be measured of N energy storage units in the energy storage power station in the same preset time period, wherein the parameters to be measured are used for representing characteristic quantities capable of reflecting abnormal operation of the energy storage power station; the second obtaining module 2: the device comprises an energy storage unit group, a parameter to be detected and a parameter analysis unit, wherein the energy storage unit group is used for acquiring test statistics of the average value of the parameter to be detected of each energy storage unit group, and the energy storage unit group is used for representing a combination consisting of M energy storage units in the energy storage system; the third obtaining module 3: the judgment threshold value corresponding to a preset inspection level is obtained, and the difference of the to-be-detected parameters of the energy storage unit group is judged under the condition that the absolute value of the inspection statistic is larger than the judgment threshold value; the determination module 4: and the energy storage units with the abnormity are determined according to the energy storage unit groups with the differences.
Wherein, in an optional embodiment, the determining module 4 includes: an acquisition unit: the energy storage unit group detection device is used for obtaining a measured value and a reference value of the parameter to be detected of each energy storage unit in the energy storage unit group with the difference at the current moment; a determination unit: and the energy storage unit is used for acquiring the deviation between the measured value of the parameter to be measured of each energy storage unit and the reference value, and judging that the energy storage unit is the energy storage unit with abnormality under the condition that the absolute value of the deviation is greater than a preset threshold value, wherein the preset threshold value is used for representing the maximum deviation value of the energy storage unit in a normal state.
In an optional embodiment, the system further comprises a tiered monitoring module comprising: a determination unit: the detection statistics are used for respectively obtaining the test statistics of each energy storage unit group, distinguishing the energy storage unit groups with differences according to a judgment threshold value, and determining the hierarchy of the energy storage unit groups with differences as the hierarchy with inconsistency; a determination unit: the parameter to be detected of each energy storage unit in the hierarchy with the inconsistency is detected, and the energy storage unit with the abnormity is determined; an alarm unit: and the central control host is used for acquiring the relative position number of the abnormal energy storage unit, generating alarm information containing the relative position number and sending the alarm information to the energy storage power station.
In an optional embodiment, the system further includes a configuration module, where the configuration module is configured to configure relative position information of the newly added energy storage unit and information of the associated lower energy storage unit, where the relative position information is used to represent a relative position number of the newly added energy storage unit in a target hierarchy.
EXAMPLE III
In the embodiment of the present application, a computer-readable storage medium is provided, and a computer program is stored on the computer-readable storage medium, and when the computer program runs on a computer, the computer is enabled to execute the corresponding contents in the foregoing method embodiment.
In summary, by the energy storage power station monitoring method, the system and the computer readable storage medium provided by the embodiment of the application, the difference hypothesis test is performed on the sampling mean value of the key parameters of the energy storage units in the time period, whether the energy storage unit group where the energy storage units are located has inconsistency is determined, and then the energy storage units with abnormality in the energy storage unit group are determined. The method solves the problem that the existing energy storage power station monitoring method cannot accurately find the abnormity in advance and timely process the abnormity, can accurately acquire the consistency condition of the key parameters of each energy storage unit in the energy storage power station, finds the abnormal early signs and timely takes processing measures, and avoids the damage of the abnormal problems to the energy storage power station as much as possible. The accuracy of energy storage power station anomaly identification and the efficiency of monitoring are improved, the timely and accurate maintenance of energy storage power station is realized, and the operation safety and the operation and maintenance efficiency are improved.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a few embodiments of the present application and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present application, and that these improvements and modifications should also be considered as the protection scope of the present application.
Claims (9)
1. An energy storage power station monitoring method, characterized in that the method comprises:
acquiring the mean value of parameters to be measured of N energy storage units in the energy storage power station in the same preset time period, wherein the parameters to be measured are used for representing characteristic quantities capable of reflecting the abnormal operation of the energy storage power station;
obtaining test statistics of the mean value of the parameters to be tested of each energy storage unit group, wherein the energy storage unit groups are used for representing a combination consisting of M energy storage units in the energy storage system;
acquiring a judgment threshold corresponding to a preset inspection level, and judging that the parameters to be tested of the energy storage unit group have differences under the condition that the absolute value of the inspection statistic is greater than the judgment threshold;
and determining the energy storage units with abnormality according to the energy storage unit groups with the differences.
2. The method of claim 1, wherein the parameters to be measured include voltage, current, temperature, state of charge, and state of health indicators, and the predetermined time period is determined according to a variation cycle of each of the parameters to be measured.
3. The method of claim 1, wherein the test statistic is determined according to the mean of the energy storage unit groups, the number of sampling values of the parameter to be tested, and the variance of the sampling values of the parameter to be tested.
4. The method according to claim 1, wherein the predetermined inspection level is used to represent an acceptable probability of misjudging the difference of the parameters to be tested of the energy storage unit groups, and the decision threshold is used to represent a boundary value of a set of all possible values of the inspection statistic that can be determined the difference of the parameters to be tested of the energy storage unit groups, which is determined according to the predetermined inspection level.
5. The method according to claim 1, wherein the determining, according to the energy storage unit groups with the differences, the energy storage units with the abnormalities comprises:
obtaining a measured value and a reference value of the parameter to be measured of each energy storage unit in the energy storage unit groups with the differences at the current moment;
and acquiring the deviation between the measured value of the parameter to be measured of each energy storage unit and the reference value, and judging that the energy storage unit is the abnormal energy storage unit under the condition that the absolute value of the deviation is greater than a preset threshold value, wherein the preset threshold value is used for representing the maximum deviation value of the energy storage unit in a normal state.
6. The method of claim 1, wherein the energy storage power station has a layered structure and is divided into a plurality of levels according to an energy storage container, an energy storage cabinet, an energy storage box and an energy storage cell, and the energy storage container, the energy storage cabinet, the energy storage box and the energy storage cell are respectively used as energy storage units of the energy storage power station level, the energy storage container level, the energy storage cabinet level and the energy storage cell level, and the method further comprises:
respectively obtaining the test statistic of each energy storage unit group, judging the energy storage unit groups with differences according to a judgment threshold value, and determining the hierarchy of the energy storage unit groups with differences as the hierarchy with inconsistency;
detecting the to-be-detected parameters of the energy storage units in the hierarchy with the inconsistency, and determining the energy storage units with the abnormity;
and acquiring the relative position number of the abnormal energy storage unit, generating alarm information containing the relative position number, and sending the alarm information to a central control host of the energy storage power station.
7. The method of claim 6, further comprising:
and configuring relative position information of the newly increased energy storage unit and associated lower-layer energy storage unit information, wherein the relative position information is used for representing a relative position number of the newly increased energy storage unit in a target level.
8. An energy storage power station monitoring system, the system comprising:
a first obtaining module: the method comprises the steps of obtaining an average value of parameters to be measured of N energy storage units in the energy storage power station in the same preset time period, wherein the parameters to be measured are used for representing characteristic quantities capable of reflecting abnormal operation of the energy storage power station;
a second obtaining module: the device comprises an energy storage unit group, a parameter acquisition unit, a parameter analysis unit and a parameter analysis unit, wherein the energy storage unit group is used for acquiring test statistics of the mean value of the parameter to be tested of each energy storage unit group, and the energy storage unit group is used for representing a combination consisting of M energy storage units in the energy storage system;
a third obtaining module: the judgment threshold value corresponding to a preset inspection level is obtained, and the difference of the to-be-detected parameters of the energy storage unit group is judged under the condition that the absolute value of the inspection statistic is larger than the judgment threshold value;
a determination module: and the energy storage units with the abnormity are determined according to the energy storage unit groups with the differences.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which is executable by one or more processors to implement the energy storage power station monitoring method according to any one of claims 1 to 7.
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