CN117439223B - Safety control method and system of energy storage system - Google Patents
Safety control method and system of energy storage system Download PDFInfo
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- CN117439223B CN117439223B CN202311409160.7A CN202311409160A CN117439223B CN 117439223 B CN117439223 B CN 117439223B CN 202311409160 A CN202311409160 A CN 202311409160A CN 117439223 B CN117439223 B CN 117439223B
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- 238000004146 energy storage Methods 0.000 title claims abstract description 256
- 238000000034 method Methods 0.000 title claims abstract description 44
- 230000002159 abnormal effect Effects 0.000 claims abstract description 96
- 238000012544 monitoring process Methods 0.000 claims abstract description 61
- 238000012549 training Methods 0.000 claims description 20
- 238000010276 construction Methods 0.000 claims description 12
- 238000007689 inspection Methods 0.000 claims description 12
- 230000000737 periodic effect Effects 0.000 claims description 11
- 238000012423 maintenance Methods 0.000 claims description 10
- 238000011161 development Methods 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 6
- 238000000605 extraction Methods 0.000 claims description 6
- 231100000279 safety data Toxicity 0.000 claims description 4
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0029—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
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Abstract
The invention provides a safety control method and a system of an energy storage system, which relate to the technical field of data processing, and the method comprises the following steps: the method comprises the steps of recording a target energy storage system in real time based on an energy storage cloud platform, determining a real-time operation data set of the target energy storage system, acquiring N monitoring data, extracting historical operation risk information of the target energy storage system according to the energy storage cloud platform, traversing the N monitoring data, sequentially performing coverage matching with the historical operation risk information to determine an abnormal operation data set, synchronizing the abnormal operation data set with the historical operation risk information to an energy storage accident matching channel to obtain a plurality of risk accident information, identifying the abnormal operation data set, checking operation parameters corresponding to the identification data set, presetting an operation safety environment, performing operation control of the target energy storage system in the operation safety environment, solving the technical problems that the energy storage system is lack of management and control in the prior art, resulting in low safety of the energy storage system, realizing reasonable and accurate management and control of the energy storage system, and improving the safety of the energy storage system.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a safety control method and system of an energy storage system.
Background
With the development of energy storage technology, particularly the development of the control field of energy storage systems, energy storage is mainly applied to power systems at present, but is also applied to the fields of communication base stations, data centers, UPS and the like at the same time, so that emergency power supply can be performed for key equipment such as communication base stations and the like during power interruption, and peak-valley electricity price difference can be utilized for carrying out arbitrage so as to reduce equipment electricity consumption cost, and the technical problem of low safety of the energy storage systems is caused by the lack of management and control of the energy storage systems in the prior art.
Disclosure of Invention
The application provides a safety control method and a safety control system for an energy storage system, which are used for solving the technical problem of low safety of the energy storage system caused by the lack of control of the energy storage system in the prior art.
In view of the above problems, the present application provides a method and a system for controlling safety of an energy storage system.
In a first aspect, the present application provides a method for controlling safety of an energy storage system, the method comprising: real-time recording is carried out on the target energy storage system based on the energy storage cloud platform, and a real-time operation data set of the target energy storage system is determined; acquiring N pieces of monitoring data, wherein the N pieces of monitoring data are obtained by performing operation monitoring on a target energy storage system based on the real-time operation data set; extracting historical operation risk information of a target energy storage system according to the energy storage cloud platform; traversing the N monitoring data to sequentially carry out coverage matching with the historical operation risk information, and determining an abnormal operation data set according to a matching result; synchronizing the abnormal operation data set and the historical operation risk information to an energy storage accident matching channel to obtain a plurality of risk accident information, and identifying the abnormal operation data set based on the plurality of risk accident information to generate an identification data set; and checking the operation parameters corresponding to the identification data set, presetting an operation safety environment, and performing operation control of the target energy storage system in the operation safety environment.
In a second aspect, the present application provides a safety control system for an energy storage system, the system comprising: the real-time recording module is used for recording the target energy storage system in real time based on the energy storage cloud platform and determining a real-time operation data set of the target energy storage system; the operation monitoring module is used for acquiring N pieces of monitoring data, wherein the N pieces of monitoring data are obtained by performing operation monitoring on the target energy storage system based on the real-time operation data set; the information extraction module is used for extracting historical operation risk information of the target energy storage system according to the energy storage cloud platform; the coverage matching module is used for traversing the N monitoring data to perform coverage matching with the historical operation risk information in sequence, and determining an abnormal operation data set according to a matching result; the first identification module is used for synchronizing the abnormal operation data set and the historical operation risk information to an energy storage accident matching channel to obtain a plurality of risk accident information, and performing coverage matching on the abnormal operation data set based on the plurality of risk accident information to generate an identification data set; and the operation control module is used for checking the operation parameters corresponding to the identification data set, presetting an operation safety environment and controlling the operation of the target energy storage system in the operation safety environment.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
The application provides a safety control method and a safety control system for an energy storage system, relates to the technical field of data processing, solves the technical problem of low safety of the energy storage system caused by lack of control over the energy storage system in the prior art, realizes reasonable and accurate control over the energy storage system, and improves the safety of the energy storage system.
Drawings
FIG. 1 is a schematic flow chart of a safety control method of an energy storage system;
FIG. 2 is a schematic diagram of a flow chart for acquiring abnormal operation data in a safety control method of an energy storage system according to the present application;
fig. 3 is a schematic structural diagram of a safety control system of an energy storage system according to the present application.
Reference numerals illustrate: the system comprises a real-time recording module 1, an operation monitoring module 2, an information extraction module 3, a coverage matching module 4, a first identification module 5 and an operation control module 6.
Detailed Description
The application provides a safety control method and a safety control system for an energy storage system, which are used for solving the technical problem of low safety of the energy storage system caused by lack of control of the energy storage system in the prior art, and realizing reasonable and accurate control of the energy storage system.
Example 1
As shown in fig. 1, an embodiment of the present application provides a method for controlling safety of an energy storage system, where the method is applied to a safety control system of an energy storage system, and the safety control system of the energy storage system is communicatively connected to an energy storage cloud platform, and the method includes:
step A100: real-time recording is carried out on the target energy storage system based on the energy storage cloud platform, and a real-time operation data set of the target energy storage system is determined;
Further, the step a100 of the present application further includes:
step A110: extracting an energy storage operation data log of a target energy storage system based on the energy storage cloud platform, wherein the energy storage operation data log comprises energy storage parameters;
Step A120: constructing an energy storage parameter change curve based on the energy storage operation data log;
step a130: extracting a plurality of real-time energy storage parameters with dynamic changes based on the energy storage parameter change curve;
step A140: the plurality of real-time energy storage parameters is added to the real-time operational dataset.
In the application, the safety control method of the energy storage system provided by the embodiment of the application is applied to the safety control system of the energy storage system, the safety control system of the energy storage system is in communication connection with an energy storage cloud platform, and the energy storage cloud platform is used for collecting operation parameters of the energy storage system.
The method comprises the steps of recording operation data in a target energy storage system in real time through an energy storage cloud platform, firstly extracting an energy storage operation data log of the target energy storage system through the energy storage cloud platform, and recording parameters including energy storage capacity, energy storage power, energy storage efficiency and the like in the energy storage operation data log, constructing an energy storage parameter change curve according to the energy storage parameters in the energy storage operation data log, taking the energy storage capacity as an abscissa, taking the energy storage power as an ordinate, and obtaining the energy storage efficiency according to the energy storage capacity and the energy storage power calculation, constructing an energy storage parameter change curve on the basis, further extracting real-time energy storage parameters with dynamic changes on the basis of the constructed energy storage parameter change curve, recording parameters with the dynamic changes, wherein the parameters with the inconsistent real-time energy storage parameters at the previous moment are the parameters with the dynamic changes, finally adding a plurality of real-time energy storage parameters into the real-time operation data, and performing data perfection, so as to realize safety control of the energy storage system.
Step A200: acquiring N pieces of monitoring data, wherein the N pieces of monitoring data are obtained by performing operation monitoring on a target energy storage system based on the real-time operation data set;
Further, the step a200 of the present application further includes:
step a210: determining the change amplitude of the operation data according to the dynamic change in the real-time operation data set;
Step A220: presetting the data change amplitude threshold based on the energy storage parameter change curve to generate a preset threshold;
Step A230: judging whether the variation amplitude of the operation data is larger than or equal to the preset threshold value;
Step A240: if yes, generating a tracking instruction, tracking and detecting real-time operation data of the target energy storage system according to the tracking instruction, and determining the N monitoring data.
In the application, in order to better control the safety of the energy storage system, the obtained real-time operation data set is used as operation basic data to monitor the data of the target energy storage system in the operation process, namely, the operation data change amplitude of the energy storage system is determined according to the dynamic change degree of a plurality of real-time energy storage parameters in the real-time operation data set, the change degree is obtained by comparing the real-time energy storage parameters with the energy storage parameters at the last moment, the change degree is in a proportional relation with the data change amplitude, further, the parameter change mean value in the energy storage parameter change curve is obtained, so that the preset data change amplitude threshold value is generated, whether the operation data change amplitude is larger than or equal to the preset threshold value is judged, if the operation data change amplitude is larger than or equal to the preset threshold value, a tracking instruction is generated, the real-time operation data of the target energy storage system is tracked and detected according to the tracking instruction, namely, the real-time energy storage capacity parameters, the real-time power parameters, the real-time uniformity parameters and the like in the energy storage system are tracked by the tracking instruction, so that the possible battery abnormality, the battery overcharge, the battery overdischarge, the battery discharge and the like in the operation are performed in the operation of the energy storage system, and the important phase is controlled based on the monitored data, and the monitoring data is used as important reference period to realize.
Step A300: extracting historical operation risk information of a target energy storage system according to the energy storage cloud platform;
in order to more accurately ensure the control safety of the target energy storage platform in the process of performing operation control, the application firstly needs to extract historical operation risk data through an energy storage cloud platform which is in communication connection with a safety control system of an energy storage system, namely monitoring and extracting abnormal data when an energy storage device of the target energy storage system fails in a historical time period, wherein the operation risk of the energy storage device failure can comprise accidents such as battery leakage and fire disaster in the energy storage process, and further, the detected and extracted abnormal data causes the energy storage risk in the target energy storage system to be used as historical operation risk information of the target energy storage system to be output, so that the safety control tamping foundation of the energy storage system is realized for the subsequent implementation.
Step A400: traversing the N monitoring data to sequentially carry out coverage matching with the historical operation risk information, and determining an abnormal operation data set according to a matching result;
further, as shown in fig. 2, step a400 of the present application further includes:
Step A410: traversing the N monitoring data to judge the running risk based on the data terminal of the target energy storage system, and generating the running risk of the N monitoring data;
Step a420: performing corresponding coverage matching on the operation risks of the N monitoring data and the historical operation risk information to obtain abnormal traversal data, wherein the abnormal traversal data are data of the N monitoring data which are matched with the historical operation risk information in sequence;
Step a430: and acquiring the abnormal operation data set according to the abnormal traversal data.
According to the application, on the basis of a data terminal of a target energy storage system, namely input and output equipment of the target energy storage system, data traversal access is carried out on N pieces of monitoring data one by one, the accessed monitoring data are judged in the process of traversal access, namely the accessed monitoring data are judged with a preset data safety threshold one by one, monitoring data smaller than the preset data safety threshold are extracted, the operation risks corresponding to the N pieces of monitoring data are matched, the operation risk data can comprise monitoring data corresponding to the operation risks and the risk degrees thereof and monitoring data without the operation risks, the operation risks of the N pieces of monitoring data are generated, further, the operation risks of the N pieces of monitoring data are correspondingly covered with the extracted historical operation risk information, namely the operation risk data in the operation risks of the N pieces of monitoring data are subjected to coverage matching with the corresponding data in the range of the historical operation risk information, abnormal operation data are acquired, the N pieces of monitoring data are sequentially matched with the data of the historical operation risk information, the obtained data are subjected to coverage, the corresponding operation risk data are subjected to the corresponding energy storage control, the abnormal operation information is subjected to the safety record, and the abnormal operation result is recorded.
Step A500: synchronizing the abnormal operation data set and the historical operation risk information to an energy storage accident matching channel to obtain a plurality of risk accident information, and identifying the abnormal operation data set based on the plurality of risk accident information to generate an identification data set;
further, the step a500 of the present application further includes:
step A510: the energy storage accident matching channel comprises a data input layer, an implicit layer and a data output layer;
The data input layer is used for inputting an abnormal operation data set and historical operation risk information, the hidden layer is used for carrying out multi-weight and deviation adjustment on the abnormal operation data set and the historical operation risk information, and the data output layer is used for regression output of a plurality of risk accident information;
step A520: performing data annotation on the abnormal operation data set and the historical operation risk information to obtain a construction data set, wherein the construction data set comprises a training data set and a supervision data set;
Step a530: and training and supervising the energy storage accident matching channel by adopting the training data set and the supervision data set until the accuracy of the energy storage accident matching channel reaches a preset requirement, and completing construction of the energy storage accident matching channel.
Further, the step a500 of the present application further includes:
Step a540: predicting the development trend of each abnormal operation data in the abnormal operation data set based on the risk accident information, and determining a prediction trend;
step A550: predicting an abnormal result of the abnormal operation data set according to the prediction trend;
step A560: and carrying out traversal comparison on the abnormal result and the plurality of risk accidents, and carrying out risk identification on the comparison result to generate the identification data set.
In the application, based on a BP neural network, the BP neural network is a multi-layer feedforward neural network trained according to an error reverse propagation algorithm, an energy storage accident matching channel is further constructed, the energy storage accident matching channel comprises a data input layer, an hidden layer and a data output layer, wherein the data input layer is used for inputting an abnormal operation data set and historical operation risk information, the hidden layer is used for carrying out multi-weight and deviation adjustment on the abnormal operation data set and the historical operation risk information, the data output layer is used for carrying out regression output on a plurality of risk accident information, and carrying out identification of different configuration parameters, namely data labeling, on the abnormal operation data of an energy storage system contained in the abnormal operation data set, operation chemical risk, operation electrical risk, operation physical risk and the like in a plurality of historical time periods contained in the historical operation risk information, so as to obtain a constructed data set, the energy storage accident matching channel is a neural network model which can be continuously subjected to self-iterative optimization in machine learning, and the energy storage accident matching channel is obtained through training of a training data set and a supervision data set, wherein each group of data in the constructed data set comprises training data set and a supervision data set, and the supervision data set corresponds to the training data set one by one.
Further, the energy storage accident matching channel construction process comprises the following steps: and inputting each group of training data in the training data set into the energy storage accident matching channel, performing output supervision adjustment of the energy storage accident matching channel through supervision data corresponding to the group of training data, finishing the current group of training when the output result of the energy storage accident matching channel is consistent with the supervision data, finishing all training data in the training data set, and finishing the training of the energy storage accident matching channel.
In order to ensure the convergence and accuracy of the energy storage accident matching channel, the convergence process may be that when the output data in the energy storage accident matching channel is converged to one point, the convergence is performed when the output data approaches to a certain value, the accuracy may be tested by the test data set for the energy storage accident matching channel, for example, the test accuracy may be set to 80%, and when the test accuracy of the test data set meets 80%, the construction of the energy storage accident matching channel is completed.
The method comprises the steps of synchronizing an abnormal operation data set and historical operation risk information to a constructed energy storage accident matching channel to obtain a plurality of risk accident information, further, in order to obtain corresponding risk results possibly caused by different abnormal operation data, sequentially predicting the development trend of each abnormal operation data in the abnormal operation data set by taking the outputted plurality of risk accident information as abnormal trend prediction basic data, namely sequentially matching each abnormal operation data in the abnormal operation data set with a plurality of risk accident information, predicting the trend of the abnormal data in a target energy storage system, predicting the abnormal result corresponding to the predicted trend abnormal operation data set, namely evaluating the abnormal result caused by the abnormal operation based on the predicted development trend of the abnormal operation, and in the existing abnormal data, dividing the abnormal result which does not influence the operation of a target energy storage system into one type of abnormal result, influencing the operation of the target energy storage system and causing the accident into one type of abnormal result, further, comparing the abnormal result with a plurality of accidents in sequence, namely sequentially deviating from the data in the abnormal result, comparing the target energy storage system with the plurality of risk accident information, and recording the corresponding risk accident information, namely, and when the electric accident system is controlled by referring to the risk accident data, the chemical accident data is controlled, and the risk system is controlled, so that the risk system is generated.
Step A600: and checking the operation parameters corresponding to the identification data set, presetting an operation safety environment, and performing operation control of the target energy storage system in the operation safety environment.
Further, the step a600 of the present application further includes:
Step a610: sequentially judging whether each piece of identification data in the identification data set is consistent with the real-time operation data of the target energy storage system;
Step a620: if the data is consistent, a maintenance instruction is generated, and operation data corresponding to the consistent data is periodically inspected in the energy storage system according to the maintenance instruction, so that a periodic inspection result is generated;
Step a630: if the data are inconsistent, generating a safe operation instruction, and adding inconsistent data into an operation safe environment according to the safe operation instruction to generate operation safe data;
Step A640: and presetting the operation safety environment according to the periodic inspection result and the operation safety data.
In the application, in order to perform operation control on the target energy storage system more safely, on the basis of the generated identification data set, the operation parameters of the target energy storage system in the operation process are required to be checked according to the data in the identification data set, and the operation safety environment in the target energy storage system is further preset, namely, whether each identification data in the identification data set is consistent with the real-time operation data of the target energy storage system or not is firstly judged in sequence, if each identification data in the identification data set is consistent with the real-time operation data of the target energy storage system, a maintenance instruction is generated, the operation data corresponding to the consistent data are periodically checked in the energy storage system according to the maintenance instruction, and the consistent data refer to abnormal data which can cause risk accidents in the target energy storage system, so that the current abnormal data are required to be repaired in the target energy storage system, and the abnormal parameters corresponding to the abnormal data are required to be periodically monitored in the process of later operation of the target energy storage system, so that a periodic inspection result of the target energy storage system is generated.
If each identification data in the identification data set is inconsistent with the real-time operation data of the target energy storage system, a safe operation instruction is generated, namely abnormal data which can cause risk accidents does not exist in the target energy storage system at the moment, inconsistent data are added into an operation safe environment according to the safe operation instruction, namely the operation parameters in the target energy storage system at the moment are recorded and used as environment reference parameters in a later operation process, so that target operation safe data are generated, finally, the operation safe environment of the target energy storage system is determined according to a regular inspection result and the operation safe data, so that presetting is completed, the operation safe environment of the target energy storage system is used as a basic environment, the safety control of the operation parameters in the operation process is carried out on the target energy storage system, and the accuracy of safety control of the energy storage system in the later stage is improved.
In summary, the safety control method of the energy storage system provided by the embodiment of the application at least has the following technical effects that the energy storage system is reasonably and accurately controlled, and the safety of the energy storage system is improved.
Example two
Based on the same inventive concept as the safety control method of an energy storage system in the foregoing embodiments, as shown in fig. 3, the present application provides a safety control system of an energy storage system, including:
The real-time recording module 1is used for recording the target energy storage system in real time based on the energy storage cloud platform, and determining a real-time operation data set of the target energy storage system;
The operation monitoring module 2 is used for acquiring N pieces of monitoring data, wherein the N pieces of monitoring data are obtained by performing operation monitoring on the target energy storage system based on the real-time operation data set;
The information extraction module 3 is used for extracting historical operation risk information of the target energy storage system according to the energy storage cloud platform;
The coverage matching module 4 is used for traversing the N monitoring data to perform coverage matching with the historical operation risk information in sequence, and determining an abnormal operation data set according to a matching result;
The first identification module 5 is configured to synchronize the abnormal operation data set and the historical operation risk information to an energy storage accident matching channel to obtain a plurality of risk accident information, and perform coverage matching on the abnormal operation data set based on the plurality of risk accident information to generate an identification data set;
and the operation control module 6 is used for checking the operation parameters corresponding to the identification data set, presetting an operation safety environment, and performing operation control of the target energy storage system in the operation safety environment.
Further, the system further comprises:
the log extraction module is used for extracting an energy storage operation data log of the target energy storage system based on the energy storage cloud platform, wherein the energy storage operation data log comprises energy storage parameters;
The curve construction module is used for constructing an energy storage parameter change curve based on the energy storage operation data log;
The parameter extraction module is used for extracting a plurality of real-time energy storage parameters with dynamic changes based on the energy storage parameter change curve;
and the adding module is used for adding the plurality of real-time energy storage parameters to the real-time operation data set.
Further, the system further comprises:
The change amplitude determining module is used for determining the change amplitude of the operation data according to the dynamic change in the real-time operation data set;
The preset module is used for presetting the data change amplitude threshold value based on the energy storage parameter change curve to generate a preset threshold value;
The first judging module is used for judging whether the change amplitude of the operation data is larger than or equal to the preset threshold value or not;
And the second judging module is used for generating a tracking instruction if the target energy storage system is in the first state, tracking and detecting the real-time operation data of the target energy storage system according to the tracking instruction, and determining the N monitoring data.
Further, the system further comprises:
The operation risk judging module is used for judging the operation risk by traversing the N monitoring data based on the data terminal of the target energy storage system and generating the operation risk of the N monitoring data;
the matching module is used for carrying out corresponding coverage matching on the operation risks of the N monitoring data and the historical operation risk information to obtain abnormal traversal data, wherein the abnormal traversal data are data of the N monitoring data which are matched with the historical operation risk information in sequence;
And the data set acquisition module is used for acquiring the abnormal operation data set according to the abnormal traversal data.
Further, the system further comprises:
The hierarchy module is used for the energy storage accident matching channel to comprise a data input layer, an implicit layer and a data output layer, wherein the data input layer is used for inputting an abnormal operation data set and historical operation risk information, the implicit layer is used for carrying out multi-weight and deviation adjustment on the abnormal operation data set and the historical operation risk information, and the data output layer is used for regression output of a plurality of risk accident information;
The data labeling module is used for carrying out data labeling on the abnormal operation data set and the historical operation risk information to obtain a construction data set, wherein the construction data set comprises a training data set and a supervision data set;
the channel construction module is used for training and supervising the energy storage accident matching channel by adopting the training data set and the supervision data set until the accuracy of the energy storage accident matching channel reaches a preset requirement, and the energy storage accident matching channel is constructed.
Further, the system further comprises:
The trend prediction module is used for predicting the development trend of each piece of abnormal operation data in the abnormal operation data set based on the plurality of risk accident information and determining a prediction trend;
the abnormality prediction module is used for predicting an abnormality result of the abnormal operation data set according to the prediction trend;
the second identification module is used for performing traversal comparison on the abnormal result and the risk accidents, performing risk identification on the comparison result and generating the identification data set.
Further, the system further comprises:
The third judging module is used for judging whether each piece of identification data in the identification data set is consistent with the real-time operation data of the target energy storage system in sequence;
the fourth judging module is used for generating a maintenance instruction if the data are consistent, and performing periodic inspection on the operation data corresponding to the consistent data in the energy storage system according to the maintenance instruction to generate a periodic inspection result;
The fifth judging module is used for generating a safe operation instruction if the data are inconsistent, adding the inconsistent data into an operation safe environment according to the safe operation instruction, and generating operation safe data;
the environment setting module is used for presetting the operation safety environment according to the periodic inspection result and the operation safety data.
The foregoing detailed description of a method for controlling safety of an energy storage system will be apparent to those skilled in the art, and the device disclosed in this embodiment is relatively simple in description, and the relevant points refer to the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (6)
1. The method is applied to a safety control system of an energy storage system, the safety control system of the energy storage system is in communication connection with an energy storage cloud platform, and the method comprises the following steps:
Real-time recording is carried out on the target energy storage system based on the energy storage cloud platform, and a real-time operation data set of the target energy storage system is determined;
Acquiring N pieces of monitoring data, wherein the N pieces of monitoring data are obtained by performing operation monitoring on a target energy storage system based on the real-time operation data set;
extracting historical operation risk information of a target energy storage system according to the energy storage cloud platform;
traversing the N monitoring data to sequentially carry out coverage matching with the historical operation risk information, and determining an abnormal operation data set according to a matching result;
Synchronizing the abnormal operation data set and the historical operation risk information to an energy storage accident matching channel to obtain a plurality of risk accident information, and identifying the abnormal operation data set based on the plurality of risk accident information to generate an identification data set;
checking operation parameters corresponding to the identification data set, presetting an operation safety environment, and performing operation control of a target energy storage system in the operation safety environment;
Predicting the development trend of each abnormal operation data in the abnormal operation data set based on the risk accident information, and determining a prediction trend;
predicting an abnormal result of the abnormal operation data set according to the prediction trend;
Performing traversal comparison on the abnormal result and the plurality of risk accidents, and performing risk identification on the comparison result to generate the identification data set;
sequentially judging whether each piece of identification data in the identification data set is consistent with the real-time operation data of the target energy storage system;
If the data is consistent, a maintenance instruction is generated, and operation data corresponding to the consistent data is periodically inspected in the energy storage system according to the maintenance instruction, so that a periodic inspection result is generated;
If the data are inconsistent, generating a safe operation instruction, and adding inconsistent data into an operation safe environment according to the safe operation instruction to generate operation safe data;
And presetting the operation safety environment according to the periodic inspection result and the operation safety data.
2. The method of claim 1, wherein determining a real-time operational dataset of a target energy storage system based on real-time recording of the target energy storage system by the energy storage cloud platform, the method further comprising:
Extracting an energy storage operation data log of a target energy storage system based on the energy storage cloud platform, wherein the energy storage operation data log comprises energy storage parameters;
constructing an energy storage parameter change curve based on the energy storage operation data log;
extracting a plurality of real-time energy storage parameters with dynamic changes based on the energy storage parameter change curve;
the plurality of real-time energy storage parameters is added to the real-time operational dataset.
3. The method of claim 2, wherein the performing operation monitoring on the target energy storage system based on the real-time operation data set obtains N monitoring data, the method further comprising:
Determining the change amplitude of the operation data according to the dynamic change in the real-time operation data set;
Presetting the data change amplitude threshold based on the energy storage parameter change curve to generate a preset threshold;
judging whether the variation amplitude of the operation data is larger than or equal to the preset threshold value;
If yes, generating a tracking instruction, tracking and detecting real-time operation data of the target energy storage system according to the tracking instruction, and determining the N monitoring data.
4. The method of claim 1, wherein traversing the N monitoring data sequentially overlay matches the historical operational risk information, determining an abnormal operational dataset based on the matching results, the method further comprising:
traversing the N monitoring data to judge the running risk based on the data terminal of the target energy storage system, and generating the running risk of the N monitoring data;
Performing corresponding coverage matching on the operation risks of the N monitoring data and the historical operation risk information to obtain abnormal traversal data, wherein the abnormal traversal data are data of the N monitoring data which are matched with the historical operation risk information in sequence;
and acquiring the abnormal operation data set according to the abnormal traversal data.
5. The method of claim 1, wherein the method further comprises:
the energy storage accident matching channel comprises a data input layer, an implicit layer and a data output layer;
The data input layer is used for inputting an abnormal operation data set and historical operation risk information, the hidden layer is used for carrying out multi-weight and deviation adjustment on the abnormal operation data set and the historical operation risk information, and the data output layer is used for regression output of a plurality of risk accident information;
performing data annotation on the abnormal operation data set and the historical operation risk information to obtain a construction data set, wherein the construction data set comprises a training data set and a supervision data set;
and training and supervising the energy storage accident matching channel by adopting the training data set and the supervision data set until the accuracy of the energy storage accident matching channel reaches a preset requirement, and completing construction of the energy storage accident matching channel.
6. A safety control system of an energy storage system, wherein the safety control system of the energy storage system is in communication connection with an energy storage cloud platform, the system comprising:
The real-time recording module is used for recording the target energy storage system in real time based on the energy storage cloud platform and determining a real-time operation data set of the target energy storage system;
The operation monitoring module is used for acquiring N pieces of monitoring data, wherein the N pieces of monitoring data are obtained by performing operation monitoring on the target energy storage system based on the real-time operation data set;
The information extraction module is used for extracting historical operation risk information of the target energy storage system according to the energy storage cloud platform;
The coverage matching module is used for traversing the N monitoring data to perform coverage matching with the historical operation risk information in sequence, and determining an abnormal operation data set according to a matching result;
the first identification module is used for synchronizing the abnormal operation data set and the historical operation risk information to an energy storage accident matching channel to obtain a plurality of risk accident information, and performing coverage matching on the abnormal operation data set based on the plurality of risk accident information to generate an identification data set;
the operation control module is used for checking the operation parameters corresponding to the identification data set, presetting an operation safety environment and performing operation control of the target energy storage system in the operation safety environment;
The first prediction module is used for predicting the development trend of each piece of abnormal operation data in the abnormal operation data set based on the plurality of risk accident information and determining a prediction trend;
the second prediction module is used for predicting an abnormal result of the abnormal operation data set according to the prediction trend;
The second identification module is used for performing traversal comparison on the abnormal result and the plurality of risk accidents, performing risk identification on the comparison result and generating the identification data set;
The first judging module is used for judging whether each piece of identification data in the identification data set is consistent with the real-time operation data of the target energy storage system in sequence;
The second judging module is used for generating a maintenance instruction if the data are consistent, and carrying out periodic inspection on the operation data corresponding to the consistent data in the energy storage system according to the maintenance instruction to generate a periodic inspection result;
The third judging module is used for generating a safe operation instruction if the data are inconsistent, adding the inconsistent data into an operation safe environment according to the safe operation instruction, and generating operation safe data;
the environment presetting module is used for presetting the operation safety environment according to the periodic inspection result and the operation safety data.
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