CN118035259A - Short-circuit parameter library maintenance method and system based on short-circuit capacity real-time measurement technology - Google Patents
Short-circuit parameter library maintenance method and system based on short-circuit capacity real-time measurement technology Download PDFInfo
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Abstract
The invention discloses a short-circuit parameter library maintenance method and a short-circuit parameter library maintenance system based on a short-circuit capacity real-time measurement technology, which relate to the technical field of short-circuit parameter library maintenance and comprise the steps of collecting power grid operation parameters and historical data; constructing a short circuit analysis model, judging the short circuit condition and updating the short circuit parameters to a short circuit parameter library in real time; predicting the short circuit risk of the power grid through the short circuit parameter library data and taking risk countermeasures; and (5) carrying out safety protection measures on the short-circuit parameter library and carrying out data backup regularly. According to the invention, the power grid short circuit type is analyzed by collecting the power grid operation parameters so as to construct the power grid short circuit analysis model, so that the real-time update and maintenance of the power grid short circuit parameter library are realized, the prediction algorithm is adopted to predict the future short circuit risk of the power grid, the safety and stability of the power grid are effectively improved, and the accuracy and the real-time performance of data are greatly improved.
Description
Technical Field
The invention relates to the technical field of short-circuit parameter library maintenance, in particular to a short-circuit parameter library maintenance method and system based on a short-circuit capacity real-time measurement technology.
Background
Reliability and stability of an electric power system are important in modern power grid management, wherein short circuit analysis is taken as a core component, is always an important field of electric power engineering research, as the scale of the electric power system is increasingly increased, complexity is also increased, traditional short circuit analysis methods have gradually displayed limitations, in recent years, along with the progress of computing technology and the development of big data analysis technology, short circuit analysis methods are gradually changed to real-time monitoring and dynamic analysis, especially the development of short circuit capacity real-time measurement technology, technical support is provided for accurately judging the state of a power grid and timely responding to power grid faults, in addition, construction and maintenance of a short circuit parameter library become keys for improving the analysis efficiency and accuracy of the power grid faults, the response capability of the power grid to the short circuit faults can be enhanced, and the operation and management of the power grid can be optimized through updating short circuit parameters, however, the existing short circuit parameter library maintenance methods depend on static or non-real-time data updating mechanisms, and can cause hysteresis and inaccuracy of data in dynamic power grid operation environments, and lack of sufficient flexibility and adaptability under complex power grid conditions.
Disclosure of Invention
The invention is provided in view of the problems existing in the existing short-circuit parameter library maintenance method and system based on the short-circuit capacity real-time measurement technology.
Therefore, the problem to be solved by the invention is that the existing short-circuit parameter library maintenance method relies on a static or non-real-time data updating mechanism, which may cause hysteresis and inaccuracy of data in a dynamically-changing power grid operation environment, lacks sufficient flexibility and adaptability, and is difficult to accurately reflect the short-circuit characteristic under the complex power grid condition.
In order to solve the technical problems, the invention provides the following technical scheme: a short-circuit parameter library maintenance method based on short-circuit capacity real-time measurement technology comprises the steps of collecting power grid operation parameters and historical data; constructing a short circuit analysis model, judging the short circuit condition and updating the short circuit parameters to a short circuit parameter library in real time; predicting the short circuit risk of the power grid through the short circuit parameter library data and taking risk countermeasures; and (5) carrying out safety protection measures on the short-circuit parameter library and carrying out data backup regularly.
As a preferable scheme of the short-circuit parameter library maintenance method based on the short-circuit capacity real-time measurement technology, the invention comprises the following steps: collecting power grid operation parameters and historical data comprises collecting power grid current and voltage data, power distribution network node information, power generation data, energy storage data, short circuit current data, short circuit type and duration, short circuit positions and historical short circuit data, cleaning the data, removing errors and invalid data and formatting the data.
As a preferable scheme of the short-circuit parameter library maintenance method based on the short-circuit capacity real-time measurement technology, the invention comprises the following steps: the construction of the short circuit analysis model and the judgment of the short circuit condition comprise the following steps:
collecting data features by using feature engineering extraction as a training vector set;
Selecting a kernel function to construct a short circuit analysis model:
Wherein K (x i, x) represents a kernel function, γ represents a kernel function parameter, x represents input vector normalized data, x i represents an i-th input vector, f (x) represents a short-circuit analysis model of an output classification result, n represents the number of support vectors, a i represents an i-th lagrangian multiplier, y i represents a target value of the i-th support vector, and b represents a bias term;
Defining an optimization objective function as follows:
Where a j represents the jth lagrangian multiplier and y j represents the target value of the jth support vector;
Performing iterative training by using the training data set until the optimization target is completed or the preset iteration times are reached, and stopping training;
And inputting the collected power grid operation parameters into a short circuit analysis model to analyze and judge the power grid short circuit condition in real time and distinguish the short circuit types.
As a preferable scheme of the short-circuit parameter library maintenance method based on the short-circuit capacity real-time measurement technology, the invention comprises the following steps: and the step of updating the short-circuit parameters to the short-circuit parameter library in real time refers to immediately distinguishing the short-circuit types after the short-circuit condition of the power grid is analyzed in real time through the short-circuit analysis model, updating the short-circuit data to the short-circuit parameter library in real time according to the short-circuit types for classified storage, and if the short-circuit parameter library does not have the corresponding short-circuit type classified data, automatically generating corresponding classifications for storage synchronization, carrying out key marking and sending to staff for checking.
As a preferable scheme of the short-circuit parameter library maintenance method based on the short-circuit capacity real-time measurement technology, the invention comprises the following steps: the predicting the power grid short-circuit risk through the short-circuit parameter library data means that the future short-circuit risk of the power grid is predicted through the short-circuit parameter library data:
Wherein, R (t) represents the short-circuit risk probability of time t, G j (D) represents the information filtering function, m represents the number of the information filtering functions, theta j represents the j-th information filtering function adjusting parameter, D represents the data in the short-circuit parameter library, D k represents the k-th characteristic data in the short-circuit parameter library, omega k represents the k-th characteristic weight, and p represents the characteristic number in the short-circuit parameter library; after the future short-circuit risk probability is calculated, comparing the future short-circuit risk probability with a set risk threshold R to judge the future short-circuit risk of the power grid; if R (t) is less than R, the future short-circuit risk influence of the power grid is not shown; and if R (t) is more than or equal to R, the risk of short circuit occurs in the future of the power grid, and an early warning signal is sent.
As a preferable scheme of the short-circuit parameter library maintenance method based on the short-circuit capacity real-time measurement technology, the invention comprises the following steps: the risk countermeasure comprises that if the power grid does not have short-circuit risk in the future, real-time collection of power grid operation parameters is kept, data in a power grid short-circuit parameter library is updated in real time through a power grid analysis model, and the future short-circuit risk of the power grid is predicted regularly;
If the short-circuit risk occurs in the future of the power grid, synchronously transmitting a power grid future short-circuit risk prediction result and prediction data to staff for manual analysis and making a power grid future risk coping scheme, and keeping real-time prediction of the power grid future short-circuit risk and real-time display of the prediction result to assist the staff in power grid short-circuit risk investigation.
As a preferable scheme of the short-circuit parameter library maintenance method based on the short-circuit capacity real-time measurement technology, the invention comprises the following steps: the implementation of safety protection measures on the short-circuit parameter library and the regular data backup are that the short-circuit parameter library is provided with access rights and access passwords, different access rights are provided with different access passwords, when the short-circuit parameter library is accessed, the access rights and the access passwords are required to correspond, access records are generated and stored in a whole-course record access process of the short-circuit parameter library, and the short-circuit parameter library regularly performs data scanning backup.
Short-circuit parameter library maintenance system based on short-circuit capacity real-time measurement technique, its characterized in that: the system comprises an acquisition module, an analysis module, a synchronization module, a prediction module and a storage module;
the acquisition module is used for collecting power grid operation parameters and historical data and preprocessing the collected data;
The analysis module is used for constructing a power grid short circuit analysis model for training and analyzing the power grid short circuit type according to power grid operation parameters;
The synchronization module is used for synchronously updating the power grid short-circuit parameters and the short-circuit types into a short-circuit parameter library for storage;
the prediction module is used for predicting the future short circuit risk of the power grid according to the data in the short circuit parameter library and implementing corresponding countermeasure treatment measures;
The storage module is used for storing all data and calling the stored data by matching with other modules.
A computer device, comprising: a memory and a processor; the memory stores a computer program characterized in that: and the processor executes the computer program to realize the steps of the short-circuit parameter library maintenance method based on the short-circuit capacity real-time measurement technology.
A computer-readable storage medium having stored thereon a computer program, characterized by: the method comprises the steps of realizing the short-circuit parameter library maintenance method based on the short-circuit capacity real-time measurement technology when the computer program is executed by a processor.
The invention has the beneficial effects that: according to the invention, the power grid short circuit type is analyzed by collecting the power grid operation parameters so as to construct the power grid short circuit analysis model, so that the real-time update and maintenance of the power grid short circuit parameter library are realized, the prediction algorithm is adopted to predict the future short circuit risk of the power grid, the safety and stability of the power grid are effectively improved, and the accuracy and the real-time performance of data are greatly improved.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a short-circuit parameter library maintenance method based on a short-circuit capacity real-time measurement technology.
Fig. 2 is a schematic structural diagram of a short-circuit parameter library maintenance system based on a short-circuit capacity real-time measurement technology.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
Example 1
Referring to fig. 1, in a first embodiment of the present invention, a method for maintaining a short-circuit parameter library based on a short-circuit capacity real-time measurement technique is provided, and the method for maintaining a short-circuit parameter library based on the short-circuit capacity real-time measurement technique includes the following steps:
S1: grid operating parameters and historical data are collected.
Specifically, collecting the power grid operation parameters and historical data includes collecting power grid current and voltage data, power distribution network node information, power generation data, energy storage data, short circuit current data, short circuit type and duration, short circuit positions and historical short circuit data, cleaning the data, removing errors and invalid data and formatting the data.
The collection of the power grid operation parameters and the historical data provides basic data for real-time monitoring and historical analysis of the power grid. By collecting the data, the comprehensive understanding of the running state of the power grid can be realized, decision support is provided for the optimal adjustment and fault prevention of the power grid, and data cleaning is a key step for ensuring the data quality. By eliminating the error and invalid data, the accuracy and reliability of the data can be improved, so that the accuracy and the effectiveness of subsequent analysis are ensured, the data is converted into a unified format, and the method is important for the storage, the processing and the analysis of the data. The formatted data is easier to process by various analysis tools and algorithms, so that the efficiency and flexibility of data processing are improved, and a solid data base is provided for real-time monitoring, historical analysis and fault prediction of the power grid by systematically collecting, cleaning and formatting the power grid operation parameters and historical data. The intelligent control system not only improves the efficiency and the safety of the operation of the power grid, but also is beneficial to the intelligent and automatic management of the power grid.
S2, constructing a short circuit analysis model, judging the short circuit condition and updating the short circuit parameters to a short circuit parameter library in real time.
Specifically, a short circuit analysis model is constructed, and the short circuit condition judgment comprises the following steps:
The feature engineering extraction is used to collect data features as a training vector set.
Selecting a kernel function to construct a short circuit analysis model:
Wherein K (x i, x) is a kernel function for mapping data to a high-dimensional space, γ is a kernel function parameter, x is input vector normalized data, x i is an ith input vector, representing training vector data, f (x) is a short-circuit analysis model for outputting a classification result, n is the number of support vectors, a i is an ith lagrangian multiplier, y i is a target value of the ith support vector, and indicates a specific short-circuit type classification, and b is an offset term.
Defining an optimization objective function as follows:
Where a j is the j-th Lagrangian multiplier and y j is the target value of the j-th support vector.
And performing iterative training by using the training data set until the optimization target is completed or the preset iteration times are reached, and stopping training. And inputting the collected power grid operation parameters into a short circuit analysis model to analyze and judge the power grid short circuit condition in real time and distinguish short circuit types, wherein the short circuit types comprise single-phase grounding short circuit, two-phase grounding short circuit, three-phase short circuit and the like.
The feature engineering is an important step in the fields of machine learning and data mining, and relates to creating meaningful features or attributes from original data so as to be used for training a machine learning model, the feature engineering aims at extracting, converting and selecting the most relevant features so as to improve the performance and generalization capability of the model, the feature engineering is used for extracting information from the original data and converting the information into features which can be used for model training, key information reflecting the state of a power grid, such as current, voltage, load types and the like, can be effectively extracted through the feature engineering, the features can be used as the basis of a training model, the step is important for improving the accuracy and generalization capability of the model, the selection of a kernel function has important influence on the performance of the model, the kernel function helps the model find a segmentation plane in a more complex data structure by mapping data to a high-dimensional space, so that the classification accuracy of the model is improved when the actual power grid data is processed, the model can be continuously adjusted in the training process by defining an optimized objective function, the model can be trained until the optimization objective or preset iteration times are achieved, the critical information reflecting the state can be effectively extracted, the accuracy of the power grid can be ensured, the fault can be accurately analyzed in real-time, the fault condition can be accurately and timely, and timely analyzed, and the fault condition can be accurately and judged, and the fault condition can be accurately and judged, and the fault can be analyzed and the fault can be accurately and the fault can be analyzed and the fault can be timely and the fault-accurately and the fault can be analyzed.
Further, updating the short-circuit parameters to the short-circuit parameter library in real time refers to immediately distinguishing the short-circuit types after analyzing the short-circuit condition of the power grid in real time through the short-circuit analysis model, updating the short-circuit data to the short-circuit parameter library in real time according to the short-circuit types for classified storage, and if the short-circuit parameter library does not have the corresponding short-circuit type classified data, automatically generating corresponding classifications for storage synchronization, carrying out key marking and sending to staff for checking.
The method has the advantages that the short circuit condition of the power grid is analyzed in real time, the short circuit types are immediately distinguished, the specific types of the short circuits can be rapidly responded and accurately judged when the short circuit occurs in the power grid, the method is crucial to timely fault response and subsequent repair work, the real-time data updating to the short circuit parameter library not only provides the capability of real-time monitoring, but also enhances the organization and retrievability of the data through classified storage, so that the efficiency of subsequent analysis and decision making is improved, and when the new short circuit types occur, the system can automatically create corresponding classifications and store the same. The self-adaptive capacity enables the short-circuit parameter library to always keep the latest state, and the key marking function ensures that a worker can pay attention to new or important short-circuit events in time, so that the flexibility and the response speed of power grid management are improved, the safety and the reliability of the power grid are improved, the efficiency and the accuracy of fault processing are improved, and the short-circuit parameter library becomes a powerful tool for real-time monitoring and management of the power grid by adopting a real-time data updating and self-adaptive classified storage mechanism.
S3, predicting the short circuit risk of the power grid through the short circuit parameter library data and taking risk countermeasures.
Specifically, predicting the power grid short-circuit risk through the short-circuit parameter library data refers to predicting the power grid future short-circuit risk through the short-circuit parameter library data:
Wherein R (t) is short-circuit risk probability of time t, the value range is (0, 1), G j (D) is an information filtering function, m is the number of the information filtering functions, theta j is the j-th information filtering function adjusting parameter, D is data in a short-circuit parameter library, D k is k-th characteristic data in the short-circuit parameter library, omega k is k-th characteristic weight, p is the characteristic number in the short-circuit parameter library, and the future short-circuit risk probability is calculated and then compared with a set risk threshold R to judge the future short-circuit risk of the power grid.
If R (t) is less than R, the future short-circuit risk influence of the power grid is not shown; if R (t) is not less than R, the risk of short circuit of the power grid occurs in the future, and the power grid needs to be dealt with in advance.
By analyzing historical short-circuit data, the method can identify the mode and trend which possibly cause short-circuit in the power grid, so that prediction is provided for future short-circuit risk, the functions ensure that only the most relevant and influencing information is used for risk prediction through screening and weighting data, so that the prediction accuracy is improved, whether the power grid is at short-circuit risk can be intuitively judged by comparing the predicted short-circuit risk probability with a preset risk threshold value, a key risk management tool is provided for power grid operation, once the predicted risk probability exceeds the threshold value, a power grid operator can take measures in advance, such as enhancing monitoring, adjusting the power grid operation mode or performing preventive maintenance, so that the possibility of short-circuit occurrence is reduced, the prediction accuracy of the power grid short-circuit risk is improved, the power grid operator's capability in terms of risk management and prevention is enhanced, and the safety and reliability of the power grid are greatly improved.
Further, taking risk countermeasures includes:
if the power grid does not have the short-circuit risk in the future, the real-time collection of the power grid operation parameters is kept, the data in the power grid short-circuit parameter library is updated in real time through the power grid analysis model, and the future short-circuit risk of the power grid is predicted regularly.
If the short-circuit risk occurs in the future of the power grid, synchronously transmitting a power grid future short-circuit risk prediction result and prediction data to staff for manual analysis and making a power grid future risk coping scheme, and keeping real-time prediction of the power grid future short-circuit risk and real-time display of the prediction result to assist the staff in power grid short-circuit risk investigation.
When the prediction result shows that the short-circuit risk does not exist in the future, the power grid operation parameters are continuously collected in real time and the short-circuit parameter library is updated, the instantaneity and the accuracy of the data are guaranteed, stable data support is provided for daily operation and long-term planning, once the prediction system shows that the short-circuit risk possibly exists in the future, the prediction result and related data are immediately sent to staff, such an active early warning mechanism enables the related staff to take measures in time, such as adjusting the power grid operation mode or executing necessary maintenance work, the staff carries out deep analysis based on the prediction result and the data, and a coping scheme for the future short-circuit risk is formulated, so that the safety of the power grid is improved, the preventive capability for potential faults is enhanced, and the staff can rapidly identify and respond to the potential risk by displaying the prediction result in real time, so that the short-circuit risk can be effectively checked and managed.
S4, safety protection measures are implemented on the short-circuit parameter library, and data backup is carried out regularly.
Specifically, implementing security protection measures on the short-circuit parameter library and regularly performing data backup refers to setting access rights and access passwords on the short-circuit parameter library, setting different access rights with different access passwords, when the short-circuit parameter library is accessed, the access rights and the access passwords are required to correspond, access records are generated and stored in a whole-course record access process of the short-circuit parameter library, and the short-circuit parameter library regularly performs data scanning backup.
By setting different access authorities and corresponding passwords, the access to the short-circuit parameter library can be effectively controlled, unauthorized access or data leakage is prevented, the measure enhances the security of data, the confidentiality of sensitive information is guaranteed, the access process is recorded and the access record is stored in the whole process, the transparency of data use is improved, when a data problem occurs, specific access behaviors can be tracked, the problem can be conveniently and timely positioned and solved, the data in the short-circuit parameter library is regularly backed up, the data can be ensured to be quickly recovered when the data is damaged or the system fails, the risk of data loss is reduced, and the step is crucial for maintaining the long-term stability and reliability of the database.
Example 2
Referring to fig. 2, in a second embodiment of the present invention, which is different from the previous embodiment, a short-circuit parameter library maintenance system based on a short-circuit capacity real-time measurement technique is provided, and is characterized in that: the system comprises an acquisition module, an analysis module, a synchronization module, a prediction module and a storage module;
the acquisition module is used for collecting power grid operation parameters and historical data and preprocessing the collected data.
The analysis module is used for constructing a power grid short circuit analysis model for training and analyzing the power grid short circuit type according to power grid operation parameters.
And the synchronization module is used for synchronously updating the power grid short-circuit parameters and the short-circuit types into a short-circuit parameter library for storage.
And the prediction module is used for predicting the future short circuit risk of the power grid according to the data in the short circuit parameter library and implementing corresponding countermeasure treatment measures.
The storage module is used for storing all data and calling the stored data by matching with other modules.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-only memory (ROM), a random access memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Example 3
For the third example of the present invention, which is different from the first two examples, the comparison results are shown in table 1, as demonstrated by comparing the present invention method with the prior art in order to verify the beneficial effects of the present invention method.
Table 1: the method of the invention is compared with the prior art experiment table
In summary, the method of the invention has obvious advantages in the aspects of data collection speed, accuracy, prediction capability, response time, safety protection and the like, embodies the innovativeness and novelty of the invention, not only improves the efficiency and safety of power grid operation, but also provides new possibility for future power grid management.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (10)
1. A short-circuit parameter library maintenance method based on short-circuit capacity real-time measurement technology is characterized by comprising the following steps of: comprising the steps of (a) a step of,
Collecting power grid operation parameters and historical data;
Constructing a short circuit analysis model, judging the short circuit condition and updating the short circuit parameters to a short circuit parameter library in real time;
predicting the short circuit risk of the power grid through the short circuit parameter library data and taking risk countermeasures;
And (5) carrying out safety protection measures on the short-circuit parameter library and carrying out data backup regularly.
2. The short-circuit parameter library maintenance method based on short-circuit capacity real-time measurement technology as set forth in claim 1, wherein: collecting power grid operation parameters and historical data comprises collecting power grid current and voltage data, power distribution network node information, power generation data, energy storage data, short circuit current data, short circuit type and duration, short circuit positions and historical short circuit data, cleaning the data, removing errors and invalid data and formatting the data.
3. The short-circuit parameter library maintenance method based on short-circuit capacity real-time measurement technology as set forth in claim 2, wherein: the construction of the short circuit analysis model and the judgment of the short circuit condition comprise the following steps:
collecting data features by using feature engineering extraction as a training vector set;
Selecting a kernel function to construct a short circuit analysis model:
Wherein K (x i, x) represents a kernel function, γ represents a kernel function parameter, x represents input vector normalized data, x i represents an i-th input vector, f (x) represents a short-circuit analysis model of an output classification result, n represents the number of support vectors, a i represents an i-th lagrangian multiplier, y i represents a target value of the i-th support vector, and b represents a bias term;
Defining an optimization objective function as follows:
Where a j represents the jth lagrangian multiplier and y j represents the target value of the jth support vector;
Performing iterative training by using the training data set until the optimization target is completed or the preset iteration times are reached, and stopping training;
And inputting the collected power grid operation parameters into a short circuit analysis model to analyze and judge the power grid short circuit condition in real time and distinguish the short circuit types.
4. The short-circuit parameter library maintenance method based on short-circuit capacity real-time measurement technology as set forth in claim 3, wherein: and the step of updating the short-circuit parameters to the short-circuit parameter library in real time refers to immediately distinguishing the short-circuit types after the short-circuit condition of the power grid is analyzed in real time through the short-circuit analysis model, updating the short-circuit data to the short-circuit parameter library in real time according to the short-circuit types for classified storage, and if the short-circuit parameter library does not have the corresponding short-circuit type classified data, automatically generating corresponding classifications for storage synchronization, carrying out key marking and sending to staff for checking.
5. The short-circuit parameter library maintenance method based on short-circuit capacity real-time measurement technology as set forth in claim 4, wherein: the predicting the power grid short-circuit risk through the short-circuit parameter library data means that the future short-circuit risk of the power grid is predicted through the short-circuit parameter library data:
Wherein, R (t) represents the short-circuit risk probability of time t, G j (D) represents the information filtering function, m represents the number of the information filtering functions, theta j represents the j-th information filtering function adjusting parameter, D represents the data in the short-circuit parameter library, D k represents the k-th characteristic data in the short-circuit parameter library, omega k represents the k-th characteristic weight, and p represents the characteristic number in the short-circuit parameter library; after the future short-circuit risk probability is calculated, comparing the future short-circuit risk probability with a set risk threshold R to judge the future short-circuit risk of the power grid; if R (t) is less than R, the future short-circuit risk influence of the power grid is not shown; and if R (t) is more than or equal to R, the risk of short circuit occurs in the future of the power grid, and an early warning signal is sent.
6. The short-circuit parameter library maintenance method based on short-circuit capacity real-time measurement technology as set forth in claim 5, wherein: the risk countermeasure comprises that if the power grid does not have short-circuit risk in the future, real-time collection of power grid operation parameters is kept, data in a power grid short-circuit parameter library is updated in real time through a power grid analysis model, and the future short-circuit risk of the power grid is predicted regularly;
If the short-circuit risk occurs in the future of the power grid, synchronously transmitting a power grid future short-circuit risk prediction result and prediction data to staff for manual analysis and making a power grid future risk coping scheme, and keeping real-time prediction of the power grid future short-circuit risk and real-time display of the prediction result to assist the staff in power grid short-circuit risk investigation.
7. The short-circuit parameter library maintenance method based on short-circuit capacity real-time measurement technology as set forth in claim 6, wherein: the implementation of safety protection measures on the short-circuit parameter library and the regular data backup are that the short-circuit parameter library is provided with access rights and access passwords, different access rights are provided with different access passwords, when the short-circuit parameter library is accessed, the access rights and the access passwords are required to correspond, access records are generated and stored in a whole-course record access process of the short-circuit parameter library, and the short-circuit parameter library regularly performs data scanning backup.
8. Short-circuit parameter library maintenance system based on short-circuit capacity real-time measurement technique, its characterized in that: the system comprises an acquisition module, an analysis module, a synchronization module, a prediction module and a storage module;
the acquisition module is used for collecting power grid operation parameters and historical data and preprocessing the collected data;
The analysis module is used for constructing a power grid short circuit analysis model for training and analyzing the power grid short circuit type according to power grid operation parameters;
The synchronization module is used for synchronously updating the power grid short-circuit parameters and the short-circuit types into a short-circuit parameter library for storage;
the prediction module is used for predicting the future short circuit risk of the power grid according to the data in the short circuit parameter library and implementing corresponding countermeasure treatment measures;
The storage module is used for storing all data and calling the stored data by matching with other modules.
9. A computer device, comprising: a memory and a processor; the memory stores a computer program characterized in that: the processor, when executing the computer program, implements the steps of the method of any one of claims 1 to 7.
10. A computer-readable storage medium having stored thereon a computer program, characterized by: the computer program implementing the steps of the method of any of claims 1 to 7 when executed by a processor.
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