CN117151445B - Power grid dispatching knowledge graph management system and dynamic updating method thereof - Google Patents
Power grid dispatching knowledge graph management system and dynamic updating method thereof Download PDFInfo
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Abstract
The invention discloses a power grid dispatching knowledge graph management system and a dynamic updating method thereof, and relates to the technical field of power grid dispatching knowledge graph management, wherein the power grid dispatching knowledge graph management system comprises a graph updating data acquisition module, a central processing unit, an analysis module and a prompt module; and the map updating data acquisition module is used for acquiring a plurality of data information when the power grid dispatching knowledge map dynamic updating system operates. According to the invention, the quality of the power grid dispatching related data is obtained by the power grid dispatching knowledge graph dynamic updating system for real-time monitoring, when the quality of the power grid dispatching related data is obtained by the power grid dispatching knowledge graph dynamic updating system is poor, an early warning is sent, and related power dispatching personnel are prompted to make a key decision depending on information in the knowledge graph so as to possibly make incorrect operation, so that the power grid dispatching knowledge graph dynamic updating system needs to be timely operated, operated and maintained for management, and serious threat to the operation safety and stability of the power system is effectively prevented.
Description
Technical Field
The invention relates to the technical field of power grid dispatching knowledge graph management, in particular to a power grid dispatching knowledge graph management system and a dynamic updating method thereof.
Background
The power grid dispatching knowledge graph dynamic updating system is a system for managing and updating the knowledge graph in the power grid dispatching field, the knowledge graph is a structured data storage and expression method, and various information related to power grid dispatching can be organized in a graph form, so that the information can be conveniently known, queried and analyzed.
When the power grid dispatching knowledge graph is dynamically updated, the system collects power grid dispatching related data from a plurality of data sources, wherein the data comprise power equipment information, power market data, weather information, load data and the like, the data can be integrated into the knowledge graph so as to carry out subsequent analysis and inquiry, after the data are collected and integrated, the system dynamically updates the knowledge graph to ensure that the information in the knowledge graph is always kept up to date, and then the system can automatically construct a structure of the knowledge graph, wherein the structure comprises defining entities (such as a power plant, a power transmission line and a transformer substation), relations (such as power transmission and power supply relations), attributes (such as equipment parameters and load curves) and the like, so that a user can inquire the information in the knowledge graph through an inquiry language or a graphical interface.
The prior art has the following defects: the power grid dispatcher relies on the information in the knowledge graph to make key decisions such as power supply, load distribution and equipment maintenance, if the quality of the power grid dispatching related data obtained by the power grid dispatching knowledge graph dynamic updating system is poor and not found in time, the system can make incorrect operation, which can cause serious threat to the running safety and stability of the power system.
The above information disclosed in the background section is only for enhancement of understanding of the background of the disclosure and therefore it may include information that does not form the prior art that is already known to a person of ordinary skill in the art.
Disclosure of Invention
The invention aims to provide a power grid dispatching knowledge graph management system and a dynamic updating method thereof, which are used for comprehensively analyzing power grid dispatching data processing information and graph data display information when the power grid dispatching knowledge graph dynamic updating system operates, monitoring the quality of power grid dispatching related data acquired by the power grid dispatching knowledge graph dynamic updating system in real time, and sending out early warning when the quality of the power grid dispatching related data acquired by the power grid dispatching knowledge graph dynamic updating system is poor, prompting related power dispatching personnel to make incorrect operations possibly depending on information in the knowledge graph, and needing to timely operate and maintain management on the power grid dispatching knowledge graph dynamic updating system, thereby effectively preventing serious threat to the operation safety and stability of the power system so as to solve the problems in the background technology.
In order to achieve the above object, the present invention provides the following technical solutions: the utility model provides a power grid dispatching knowledge graph management system, includes graph update data acquisition module, central processing unit, analysis module and suggestion module;
The map updating data acquisition module is used for acquiring a plurality of data information including power grid dispatching data processing information and map data display information when the power grid dispatching knowledge map dynamic updating system operates, and transmitting the power grid dispatching data processing information and the map data display information to the central processing unit after the power grid dispatching knowledge map dynamic updating system operates after the acquisition;
the power grid dispatching data processing information when the power grid dispatching knowledge graph dynamic updating system operates comprises a knowledge graph updating frequency variation coefficient and a power grid dispatching data conversion delay coefficient, and after acquisition, the knowledge graph updating data acquisition module respectively calibrates the knowledge graph updating frequency variation coefficient and the power grid dispatching data conversion delay coefficient into the following parametersAnd->；
The graph data display information of the power grid dispatching knowledge graph dynamic updating system during operation comprises graph data drift coefficients, and the graph data drift coefficients are calibrated to be the graph data drift coefficients by the graph updating data acquisition module after acquisition；
The central processing unit is used for comprehensively analyzing the processed power grid dispatching data processing information and the graph data display information in the running process of the power grid dispatching knowledge graph dynamic updating system, generating a data quality assessment index and transmitting the data quality assessment index to the analysis module;
The analysis module is used for comparing and analyzing the data quality evaluation index generated when the power grid dispatching knowledge graph dynamic updating system operates with a preset data quality evaluation index reference threshold value, generating a high-quality signal or a low-quality signal, transmitting the signal to the prompt module, and sending an early warning prompt through the prompt module.
Preferably, the logic for obtaining the knowledge-graph update frequency variation coefficient is as follows:
s101, acquiring actual knowledge graph updating frequencies of different moments in T time when the power grid dispatching knowledge graph dynamic updating system operates, and calibrating the actual knowledge graph updating frequencies as，xRepresentation ofThe number of the actual knowledge graph updating frequency at different moments in the T time when the power grid dispatching knowledge graph dynamic updating system operates,x=1、2、3、4、……、m，mis a positive integer;
s102, calculating a knowledge-graph updating frequency average value and a knowledge-graph updating frequency standard deviation according to the actual knowledge-graph updating frequency acquired in the T time, and calibrating the knowledge-graph updating frequency average value and the knowledge-graph updating frequency standard deviation as respectivelyAnd->Then: />Then:；
s103, updating the frequency average value through the knowledge graph calculated in the T timeAnd knowledge-graph update frequency standard deviation +. >Calculating a variation coefficient of the update frequency of the knowledge graph, wherein the calculated expression is as follows:wherein->Representing the update frequency variation coefficient of the knowledge graph;
s104, calculating a knowledge graph update frequency variation coefficient, wherein the calculated expression is as follows:。
preferably, the logic for obtaining the power grid dispatching data conversion delay coefficient is as follows:
s201, acquiring an optimal data conversion delay range of the power grid dispatching knowledge graph dynamic updating system for power grid dispatching data conversion, and calibrating the optimal data conversion delay range as；
S202, acquiring actual data conversion delay of a power grid dispatching knowledge graph dynamic updating system for converting a plurality of power grid dispatching data in T time, and calibrating the actual data conversion delay as，kThe number of the actual data conversion delay of the power grid dispatching knowledge graph dynamic updating system for converting the power grid dispatching data in the T time is represented,k=1、2、3、4、……、n，nis a positive integer;
s203, acquiring a power grid dispatching knowledge graph dynamic updating system in a time T which is larger than the optimal data conversion delay rangeMaximum value->Is recalibrated to +.>，yRepresenting that the power grid dispatching knowledge graph dynamic updating system obtains a delay range which is larger than the optimal data conversion in the T time Maximum value->Is a number of actual data conversion delays of (a),y=1、2、3、4、……、N，Nis a positive integer;
s204, calculating a power grid dispatching data conversion delay coefficient, wherein the calculated expression is as follows:wherein, the method comprises the steps of, wherein,nand the total quantity of actual data conversion delays acquired by the power grid dispatching knowledge graph dynamic updating system in the T time is represented.
Preferably, the logic for graph data drift coefficient acquisition is as follows:
s301, acquiring actual data source information acquired by a power grid dispatching knowledge graph dynamic updating system in a time T, simultaneously acquiring actual data graph information generated according to the actual data source information, and respectively calibrating an actual data source value acquired by the system in the time T and an actual data graph value generated according to a corresponding actual data source value at the same time to beAnd->，pRepresenting the number of the actual data source value acquired by the system in the T time and the actual data graph value generated according to the corresponding actual data source value at the same moment,p=1、2、3、4、……、q，qis a positive integer;
s302, calculating a graphic data drift coefficient, wherein the calculated expression is as follows:wherein->Representing the time period presented by the actual data graphic information when the actual data source information acquisition is completed, +.>。
Preferably, the CPU obtains the frequency variation coefficient updated by the knowledge graph Power grid dispatching data conversion delay coefficient>Graphics and apparatusData drift coefficient->Afterwards, will->、/>And +.>Formulating to generate data quality evaluation index +.>The formula according to is:wherein->、/>、/>Updating frequency variation coefficients for the knowledge graphs respectively>Power grid dispatching data conversion delay coefficient>Graphic data drift coefficient->Is a preset proportionality coefficient of>、/>、/>Are all greater than 0.
Preferably, the analysis module compares and analyzes the data quality assessment index generated when the power grid dispatching knowledge graph dynamic updating system operates with a preset data quality assessment index reference threshold, if the data quality assessment index is greater than or equal to the data quality assessment index reference threshold, a low-quality signal is generated, the signal is transmitted to the prompt module, and an early warning prompt is sent out through the prompt module; if the data quality evaluation index is smaller than the data quality evaluation index reference threshold, a high-quality signal is generated and transmitted to the prompt module, and the early warning prompt is not sent out through the prompt module.
Preferably, the system further comprises an operation and maintenance management module;
and the operation and maintenance management module is used for establishing an analysis set for comprehensively analyzing a plurality of data quality evaluation indexes output by the central processing unit in real time when the power grid dispatching knowledge graph dynamic updating system operates, so that the power grid dispatching knowledge graph dynamic updating system achieves a stable and efficient operation state.
Preferably, the operation and maintenance management module establishes an analysis set for a plurality of data quality evaluation indexes output by the central processing unit in real time when the power grid dispatching knowledge graph dynamic updating system is operated, and calibrates the analysis set asZThen，jA number representing a data quality assessment index within the analysis set,j=1、2、3、4、……、u，uis a positive integer;
calculating a data quality evaluation index standard deviation and a data quality evaluation index average value by analyzing a plurality of data quality evaluation indexes in the collection, and respectively calibrating the data quality evaluation index standard deviation and the data quality evaluation index average value asAnd->Standard deviation of data quality assessment index>The calculation formula of (2) is as follows:data quality assessment index mean ∈ ->The calculation formula of (2) is as follows:；
standard deviation of data quality assessment indexAnd data quality assessment index mean ∈ ->Respectively with a preset standard deviation reference threshold +.>And a preset data quality assessment index reference threshold +.>Comparing, and reaching ++when the power grid dispatching knowledge graph dynamic updating system operates>And when the system is in the state of (2), generating a signal of successful operation and maintenance management through the operation and maintenance management module, sending the signal to the mobile prompt terminal, and prompting the successful operation and maintenance management of the system through the mobile prompt terminal.
A dynamic updating method of a power grid dispatching knowledge graph comprises the following steps:
collecting a plurality of data information including power grid dispatching data processing information and map data display information when the power grid dispatching knowledge map dynamic updating system operates, and processing the power grid dispatching data processing information and the map data display information when the power grid dispatching knowledge map dynamic updating system operates after the data information is collected;
comprehensively analyzing the processed power grid dispatching data processing information and the graph data display information of the power grid dispatching knowledge graph dynamic updating system during operation to generate a data quality assessment index;
comparing and analyzing a data quality evaluation index generated when the power grid dispatching knowledge graph dynamic updating system operates with a preset data quality evaluation index reference threshold value, generating a high-quality signal or a low-quality signal, and sending an early warning prompt to the low-quality signal;
and establishing an analysis set for comprehensively analyzing a plurality of data quality evaluation indexes output in real time when the power grid dispatching knowledge graph dynamic updating system operates, so that the power grid dispatching knowledge graph dynamic updating system achieves a stable and efficient operating state.
In the technical scheme, the invention has the technical effects and advantages that:
According to the invention, the power grid dispatching data processing information and the map data display information are comprehensively analyzed when the power grid dispatching knowledge map dynamic updating system operates, the quality of the power grid dispatching related data acquired by the power grid dispatching knowledge map dynamic updating system is monitored in real time, when the quality of the power grid dispatching related data acquired by the power grid dispatching knowledge map dynamic updating system is poor, an early warning is sent out, and related power dispatching personnel are prompted to make a key decision depending on the information in the knowledge map so as to possibly make incorrect operation, and the power grid dispatching knowledge map dynamic updating system is required to be timely operated, operated and maintained in time, so that serious threat to the operation safety and stability of the power system is effectively prevented;
according to the invention, by comprehensively analyzing the condition of the power grid dispatching knowledge graph dynamic updating system during operation and maintenance management, compared with manual experience judgment, the accuracy of operation and maintenance management can be improved through data analysis, the condition that abnormal hidden danger occurs again when the power grid dispatching knowledge graph dynamic updating system is operated after operation and maintenance management is effectively avoided, and the power grid dispatching knowledge graph dynamic updating system is ensured to achieve a stable and efficient operation state.
Drawings
For a clearer description of embodiments of the present application or of the solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments described in the present invention, and that other drawings may be obtained according to these drawings for a person skilled in the art.
Fig. 1 is a schematic block diagram of a power grid dispatching knowledge graph management system and a dynamic updating method thereof.
Fig. 2 is a flow chart of a method for managing a power grid dispatching knowledge graph and a dynamic updating method thereof.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art.
The invention provides a power grid dispatching knowledge graph management system as shown in figure 1, which comprises a graph updating data acquisition module, a central processing unit, an analysis module and a prompt module;
The map updating data acquisition module is used for acquiring a plurality of data information including power grid dispatching data processing information and map data display information when the power grid dispatching knowledge map dynamic updating system operates, and transmitting the power grid dispatching data processing information and the map data display information to the central processing unit after the power grid dispatching knowledge map dynamic updating system operates after the acquisition;
the power grid dispatching data processing information when the power grid dispatching knowledge graph dynamic updating system operates comprises a knowledge graph updating frequency variation coefficient and a power grid dispatching data conversion delay coefficient, and after acquisition, the knowledge graph updating data acquisition module respectively calibrates the knowledge graph updating frequency variation coefficient and the power grid dispatching data conversion delay coefficient into the following parametersAnd->；
The knowledge graph updating frequency of the power grid dispatching knowledge graph dynamic updating system refers to the frequency of updating the internal knowledge graph of the system when the system operates, the knowledge graph plays a key role in power grid dispatching and is used for describing various aspects of the power system so as to support tasks such as decision making, monitoring, fault recovery and the like, and the knowledge graph updating frequency refers to the speed of integrating the latest data, information or events into the knowledge graph by the system periodically or in real time;
The poor stability of the knowledge graph update frequency in the power grid dispatching knowledge graph dynamic update system may cause the quality of the power grid dispatching knowledge graph dynamic update system for acquiring the power grid dispatching related data to be poor, and the following is a detailed explanation of why the situation occurs:
data inconsistency: frequent updating of knowledge maps may lead to inconsistencies, i.e. differences between the versions of knowledge maps at different points in time, which may cause confusion, as the grid dispatcher may not be able to determine which version is the most accurate;
data loss: frequent knowledge graph updates may cause problems with data loss, and if the update frequency is too high, the system may not be able to handle all data changes, thereby losing some important information;
system load increases: frequent updating operations may increase the load of the system, resulting in reduced system performance and increased delay, which may result in longer response time for data acquisition, affecting real-time requirements;
propagation of error and inconsistency data: if there is wrong or inconsistent data in the knowledge graph, frequent updating may cause the wrong or inconsistent data to be propagated and amplified, thereby further compromising the data quality;
Data confusion: the constantly changing knowledge patterns may cause data confusion, making it difficult for a power grid dispatcher to track and understand the evolution process of the data, thereby reducing the interpretability of the data;
system stability problem: frequent knowledge-graph updates may lead to system stability problems, such as crashes or unstable operation, which further affect the reliability and quality of data acquisition;
therefore, the knowledge graph updating frequency in the power grid dispatching knowledge graph dynamic updating system is monitored, and the abnormal hidden trouble with larger variation of the knowledge graph updating frequency can be timely found;
the logic for acquiring the knowledge graph update frequency variation coefficient is as follows:
s101, acquiring actual knowledge graph updating frequencies of different moments in T time when the power grid dispatching knowledge graph dynamic updating system operates, and calibrating the actual knowledge graph updating frequencies as，xThe number of the actual knowledge graph updating frequency of different moments in the T time when the power grid dispatching knowledge graph dynamic updating system operates is represented,x=1、2、3、4、……、m，mis a positive integer;
it should be noted that, monitoring tools and performance analysis tools are used to monitor the operation of the system, these tools can track the time interval of the update of the knowledge spectrum to obtain the actual update frequency data, for example, promethaus is an open-source monitoring and alarming tool, which can be used to monitor various performance indexes of the system in real time, including the update frequency of the knowledge spectrum, by integrating the promethaus client library in the system, the update frequency data can be collected and stored periodically, and analyzed and visualized by using the PromQL query language, for example, zabbin is an open-source network monitoring tool, which can monitor various performance indexes, including the update frequency of the knowledge spectrum, and can configure alarming rules and generate historical data and trend analysis;
S102, calculating a knowledge-graph updating frequency average value and a knowledge-graph updating frequency standard deviation according to the actual knowledge-graph updating frequency acquired in the T time, and calibrating the knowledge-graph updating frequency average value and the knowledge-graph updating frequency standard deviation respectivelyIs thatAnd->Then: />Then:；
s103, updating the frequency average value through the knowledge graph calculated in the T timeAnd knowledge-graph update frequency standard deviation +.>Calculating a variation coefficient of the update frequency of the knowledge graph, wherein the calculated expression is as follows:wherein->Representing the update frequency variation coefficient of the knowledge graph;
the calculation expression of the variation coefficient of the frequency of the power grid dispatching knowledge graph dynamic updating system shows that the larger the expression value of the variation coefficient of the frequency of the power grid dispatching knowledge graph updating generated in the T time is, the larger the variation of the actual knowledge graph updating frequency of the power grid dispatching knowledge graph dynamic updating system in different moments in the T time is, otherwise, the smaller the variation of the actual knowledge graph updating frequency of the power grid dispatching knowledge graph dynamic updating system in different moments in the T time is;
s104, calculating a knowledge graph update frequency variation coefficient, wherein the calculated expression is as follows: ；
The calculation expression of the knowledge graph update frequency variation coefficient shows that the larger the expression value of the knowledge graph update frequency variation coefficient generated in the time T when the power grid dispatching knowledge graph dynamic update system operates, the larger the hidden danger that the power grid dispatching knowledge graph dynamic update system acquires the power grid dispatching related data quality variation is, and the smaller the hidden danger that the power grid dispatching knowledge graph dynamic update system acquires the power grid dispatching related data quality variation is;
the power grid dispatching data conversion delay in the power grid dispatching knowledge graph dynamic updating system refers to the time interval required by operations such as data processing, conversion and loading after data are acquired from an original power grid data source (such as a sensor, monitoring equipment and a database), and in short, refers to the time delay from the original data to the corresponding data updating in the knowledge graph;
when the conversion delay of the power grid dispatching data in the power grid dispatching knowledge graph dynamic updating system is higher, the quality of the power grid dispatching knowledge graph dynamic updating system for acquiring the power grid dispatching related data is poor, and meanwhile, the decision of a power grid dispatcher is negatively influenced, and the following detailed explanation is given:
Data obsolescence: higher data conversion delays mean that longer time is required for data updates from raw data to knowledge maps, and therefore, grid schedulers may not be able to obtain the latest grid state information in time, which may cause them to make decisions based on outdated data;
inaccurate data: when the data conversion delay is high, the problems of data inconsistency and inaccuracy can occur, the original data can change in the processing process, but the changes are not reflected in the knowledge graph, which can lead a power grid dispatcher to rely on inaccurate data to make decisions, so that the quality of the decisions is reduced;
response time delay: grid dispatchers often need to quickly respond to grid problems and emergencies, and high delays may cause them to fail to quickly obtain critical information, thereby delaying the identification and handling of the problems;
inconsistencies and confusion: because the data of the knowledge maps are inconsistent, a power grid dispatcher may feel confused, and does not determine which version is the most accurate, which may cause confusion and uncertainty, and influence the reliability of decision making;
affecting the emergency response: in emergency situations, such as malfunctions or emergencies, high delays may affect the ability of the grid dispatcher to quickly take necessary measures, which may lead to exacerbation of the grid problem;
Therefore, the abnormal hidden trouble that the power grid dispatching data conversion delay is large can be timely found out by monitoring the power grid dispatching data conversion delay in the power grid dispatching knowledge graph dynamic updating system;
the logic for acquiring the power grid dispatching data conversion delay coefficient is as follows:
s201, acquiring an optimal data conversion delay range of the power grid dispatching knowledge graph dynamic updating system for power grid dispatching data conversion, and calibrating the optimal data conversion delay range as；
It should be noted that, performing simulation and test, evaluating the system performance and decision quality variation in different delay ranges by adjusting the parameters of the data conversion delay, the method can simulate different service scenarios, secondly, the service requirement and workflow of power grid dispatching need to be known in detail, the real-time requirement of different power grid dispatching tasks on data is different, for example, real-time fault detection may need lower delay, long-term planning may accept higher delay, therefore, the optimal data conversion delay range can be determined from the angles of the service requirement and different service scenarios, and the optimal delay range can be determined according to the test result, the optimal data conversion delay range of power grid dispatching data conversion performed by the power grid dispatching knowledge graph dynamic updating system is not limited in detail, and can be adjusted according to the actual service requirement and actual service scenario;
S202, acquiring actual data conversion delay of a dynamic updating system of a power grid dispatching knowledge graph for converting a plurality of power grid dispatching data in T time, and delaying the actual data conversionCalibrated as，kThe number of the actual data conversion delay of the power grid dispatching knowledge graph dynamic updating system for converting the power grid dispatching data in the T time is represented,k=1、2、3、4、……、n，nis a positive integer;
it should be noted that performance monitoring tools are used to track performance metrics of the system, including delays in data conversion, in real time, and these tools typically provide information about response time, processing speed, and delays, some popular monitoring tools include Prometheus, zabbix, nagios, etc.;
s203, acquiring a power grid dispatching knowledge graph dynamic updating system in a time T which is larger than the optimal data conversion delay rangeMaximum value->Is recalibrated to +.>，yRepresenting that the power grid dispatching knowledge graph dynamic updating system obtains a delay range which is larger than the optimal data conversion in the T timeMaximum value->Is a number of actual data conversion delays of (a),y=1、2、3、4、……、N，Nis a positive integer;
s204, calculating a power grid dispatching data conversion delay coefficient, wherein the calculated expression is as follows:wherein, the method comprises the steps of, wherein,nthe total quantity of actual data conversion delays acquired by the power grid dispatching knowledge graph dynamic updating system in the T time is represented;
The calculation expression of the power grid dispatching data conversion delay coefficient shows that the larger the expression value of the power grid dispatching data conversion delay coefficient generated in the time T when the power grid dispatching knowledge graph dynamic updating system operates, the larger the hidden danger that the power grid dispatching knowledge graph dynamic updating system obtains the quality of power grid dispatching related data to be poor is indicated, otherwise, the hidden danger that the power grid dispatching knowledge graph dynamic updating system obtains the quality of power grid dispatching related data to be poor is indicated to be smaller;
the graph data display information of the power grid dispatching knowledge graph dynamic updating system during operation comprises graph data drift coefficients, and the graph data drift coefficients are calibrated to be the graph data drift coefficients by the graph updating data acquisition module after acquisition；
In the dynamic updating system of the power grid dispatching knowledge graph, the fact that the graph is inconsistent with the actual data source means that the power grid state, the topology information or other related data represented in the knowledge graph are inconsistent or not matched with the data in the actual power grid data source, the fact that the graph is inconsistent with the actual data source in the dynamic updating system of the power grid dispatching knowledge graph may cause the quality of the power grid dispatching related data acquired by the dynamic updating system of the power grid dispatching knowledge graph to be poor, and then the decision of a power grid dispatcher is affected is explained in detail as follows:
Erroneous data analysis: inconsistent data may cause inaccurate or incomplete data in the knowledge graph, and a power grid dispatcher relies on the data to analyze and make decisions, if the data is wrong, wrong decisions may be caused, and the safety and stability of the power grid are affected;
decision hysteresis: if the data in the knowledge graph lags behind the actual power grid data source, the power grid dispatcher cannot know the current state of the power grid in time, which may lead to decision lag, and in the power grid, the instant decision is critical to coping with emergency situations and problems;
uncertainty: when the graph is inconsistent with the actual data, the grid dispatcher may be confused and uncertain as to which data source is accurate, which may lead to uncertainty in the decision making it more difficult for them to make informed decisions;
risk increases: inconsistent data may increase the risk of decisions, and grid dispatchers may rely on inaccurate data to take action, which may lead to potential problems and security risks;
scheduling efficiency decreases: processing inconsistent data may consume more time and resources, resulting in reduced efficiency for the grid dispatcher, and may require more time to resolve the data inconsistency problem than to focus on actual operation and decisions of the grid;
Therefore, the graph display data and the actual data source in the dynamic updating system of the power grid dispatching knowledge graph are monitored, and the abnormal hidden trouble that the graph is inconsistent with the actual data source can be timely found;
the logic for graph data drift coefficient acquisition is as follows:
s301, acquiring actual data source information acquired by a power grid dispatching knowledge graph dynamic updating system in a time T, simultaneously acquiring actual data graph information generated according to the actual data source information, and respectively calibrating an actual data source value acquired by the system in the time T and an actual data graph value generated according to a corresponding actual data source value at the same time to beAnd->，pRepresenting the number of the actual data source value acquired by the system in the T time and the actual data graph value generated according to the corresponding actual data source value at the same moment,p=1、2、3、4、……、q，qis a positive integer;
it should be noted that, the actual data source information collected by the dynamic updating system of the power grid dispatching knowledge graph may be obtained in various ways, depending on the architecture of the system and the type of the data source, many power grid dispatching systems are integrated with the actual data source (such as a sensor, a monitoring device, an SCADA system, etc.), real-time data is obtained through interfaces of the data source and APIs, these interfaces allow the system to extract data from the data source and then use the data to update the knowledge graph, and then the actual data graph information generated by the dynamic updating system of the power grid dispatching knowledge graph is usually a data structure inside the system and is used for representing various aspects of the power grid, including devices, topological structures, status information, etc., the specific ways may be different according to the architecture and implementation details of the system, if the system provides APIs (application program interface), the actual data graph information may be obtained through API calls, this usually requires to request specified data through APIs, then the response data is the actual graph information, in many cases, the actual data graph information may be stored in the database of the system, may be used or the data may be analyzed in other ways, and the query is not exhaustive;
S302, calculating a graphic data drift coefficient, wherein the calculated expression is as follows:wherein->Representing the time period presented by the actual data graphic information when the actual data source information acquisition is completed, +.>；
It should be noted that, the power grid dispatching knowledge graph dynamic updating system obtains the actual data source value in the T time and generates the actual data graph value subscript according to the corresponding actual data source value at the same timepThe same;
the calculation expression of the graphic data drift coefficient shows that the larger the expression value of the graphic data drift coefficient generated in the time T when the power grid dispatching knowledge graph dynamic updating system operates, the larger the hidden danger that the quality of the power grid dispatching knowledge graph dynamic updating system acquires the power grid dispatching related data is deteriorated is indicated, otherwise, the hidden danger that the quality of the power grid dispatching knowledge graph dynamic updating system acquires the power grid dispatching related data is deteriorated is indicated to be smaller;
the central processing unit is used for comprehensively analyzing the processed power grid dispatching data processing information and the graph data display information in the running process of the power grid dispatching knowledge graph dynamic updating system, generating a data quality assessment index and transmitting the data quality assessment index to the analysis module;
The CPU obtains the frequency variation coefficient of the update of the knowledge graphPower grid dispatching data conversion delay coefficient>Graphic data drift coefficient->Afterwards, will->、/>And +.>Formulating to generate data quality evaluation index +.>The formula according to is:wherein->、/>、/>Updating frequency variation coefficients for the knowledge graphs respectively>Power grid dispatching data conversion delay coefficient>Graphic data drift coefficient->Is a preset proportionality coefficient of>、/>、/>Are all greater than 0;
the calculation formula shows that the larger the change coefficient of the knowledge graph update frequency generated in the T time when the power grid dispatching knowledge graph dynamic update system operates, the larger the conversion delay coefficient of the power grid dispatching data and the larger the drift coefficient of the graph data are, namely the data quality evaluation index generated in the T time when the power grid dispatching knowledge graph dynamic update system operatesThe larger the expression value of the power grid dispatching knowledge graph dynamic updating system is, the larger the hidden danger that the quality of the power grid dispatching related data is deteriorated is indicated, otherwise, the hidden danger that the quality of the power grid dispatching related data is deteriorated is indicated to be smaller by the power grid dispatching knowledge graph dynamic updating system;
it should be noted that, the selection of the time T is a time period with a short time, the time in the time period is not limited in detail herein, and can be set according to practical situations, so as to monitor the situation of the power grid dispatching knowledge graph dynamic updating system in the time T during operation, thereby monitoring the running state of the power grid dispatching knowledge graph dynamic updating system in different time periods (in the time T) in real time;
The analysis module is used for comparing and analyzing the data quality evaluation index generated when the power grid dispatching knowledge graph dynamic updating system operates with a preset data quality evaluation index reference threshold value, generating a high-quality signal or a low-quality signal, transmitting the signal to the prompt module, and sending an early warning prompt through the prompt module;
the analysis module compares and analyzes the data quality assessment index generated when the power grid dispatching knowledge graph dynamic updating system operates with a preset data quality assessment index reference threshold value, if the data quality assessment index is greater than or equal to the data quality assessment index reference threshold value, a low-quality signal is generated, the signal is transmitted to the prompt module, and an early warning prompt is sent out through the prompt module; if the data quality evaluation index is smaller than the data quality evaluation index reference threshold, generating a high-quality signal, transmitting the signal to a prompt module, and sending out an early warning prompt without the prompt module;
according to the invention, the power grid dispatching data processing information and the map data display information are comprehensively analyzed when the power grid dispatching knowledge map dynamic updating system operates, the quality of the power grid dispatching related data acquired by the power grid dispatching knowledge map dynamic updating system is monitored in real time, when the quality of the power grid dispatching related data acquired by the power grid dispatching knowledge map dynamic updating system is poor, an early warning is sent out, and related power dispatching personnel are prompted to make a key decision depending on the information in the knowledge map so as to possibly make incorrect operation, and the power grid dispatching knowledge map dynamic updating system is required to be timely operated, operated and maintained in time, so that serious threat to the operation safety and stability of the power system is effectively prevented;
The system also comprises an operation and maintenance management module;
the operation and maintenance management module establishes an analysis set for comprehensively analyzing a plurality of data quality evaluation indexes output by the central processing unit in real time when the power grid dispatching knowledge graph dynamic updating system operates, so that the power grid dispatching knowledge graph dynamic updating system achieves a stable and efficient operation state;
the operation and maintenance management module builds a plurality of data quality evaluation indexes which are output in real time by the central processing unit when the power grid dispatching knowledge graph dynamic updating system is operatedStanding an analysis set and calibrating the analysis set asZThen，jA number representing a data quality assessment index within the analysis set,j=1、2、3、4、……、u，uis a positive integer;
calculating a data quality evaluation index standard deviation and a data quality evaluation index average value by analyzing a plurality of data quality evaluation indexes in the collection, and respectively calibrating the data quality evaluation index standard deviation and the data quality evaluation index average value asAnd->Standard deviation of data quality assessment index>The calculation formula of (2) is as follows: />Data quality assessment index mean ∈ ->The calculation formula of (2) is as follows: />；
Standard deviation of data quality assessment indexAnd data quality assessment index mean ∈ ->Respectively with a preset standard deviation reference threshold +. >And a preset data quality assessment index reference threshold +.>Comparing, and reaching ++when the power grid dispatching knowledge graph dynamic updating system operates>When the system is in a state of being successfully managed, a signal of successful operation and maintenance management is generated through the operation and maintenance management module, the signal is sent to the mobile prompt terminal, and the operation and maintenance management personnel is prompted to succeed in system operation and maintenance management through the mobile prompt terminal, so that the power grid dispatching knowledge graph dynamic updating system is in a stable and efficient operation state;
according to the invention, by comprehensively analyzing the condition of the power grid dispatching knowledge graph dynamic updating system during operation and maintenance management, compared with manual experience judgment, the accuracy of operation and maintenance management can be improved through data analysis, the condition that abnormal hidden danger occurs again when the power grid dispatching knowledge graph dynamic updating system is operated after operation and maintenance management is effectively avoided, and the power grid dispatching knowledge graph dynamic updating system is ensured to achieve a stable and efficient operation state;
the invention provides a dynamic updating method of a power grid dispatching knowledge graph, which is shown in figure 2, and comprises the following steps:
collecting a plurality of data information including power grid dispatching data processing information and map data display information when the power grid dispatching knowledge map dynamic updating system operates, and processing the power grid dispatching data processing information and the map data display information when the power grid dispatching knowledge map dynamic updating system operates after the data information is collected;
Comprehensively analyzing the processed power grid dispatching data processing information and the graph data display information of the power grid dispatching knowledge graph dynamic updating system during operation to generate a data quality assessment index;
comparing and analyzing a data quality evaluation index generated when the power grid dispatching knowledge graph dynamic updating system operates with a preset data quality evaluation index reference threshold value, generating a high-quality signal or a low-quality signal, and sending an early warning prompt to the low-quality signal;
establishing an analysis set for comprehensively analyzing a plurality of data quality evaluation indexes output in real time when the power grid dispatching knowledge graph dynamic updating system operates, so that the power grid dispatching knowledge graph dynamic updating system achieves a stable and efficient operation state;
the embodiment of the invention provides a dynamic updating method for a power grid dispatching knowledge graph, which is realized by the power grid dispatching knowledge graph management system, and the specific method and the flow of the dynamic updating method for the power grid dispatching knowledge graph are detailed in the embodiment of the power grid dispatching knowledge graph management system, and are not repeated herein.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (5)
1. The power grid dispatching knowledge graph management system is characterized by comprising a graph updating data acquisition module, a central processing unit, an analysis module and a prompt module;
the map updating data acquisition module is used for acquiring a plurality of data information including power grid dispatching data processing information and map data display information when the power grid dispatching knowledge map dynamic updating system operates, and transmitting the power grid dispatching data processing information and the map data display information to the central processing unit after the power grid dispatching knowledge map dynamic updating system operates after the acquisition;
the power grid dispatching data processing information when the power grid dispatching knowledge graph dynamic updating system operates comprises a knowledge graph updating frequency variation coefficient and a power grid dispatching data conversion delay coefficient, and after acquisition, the knowledge graph updating data acquisition module respectively calibrates the knowledge graph updating frequency variation coefficient and the power grid dispatching data conversion delay coefficient into the following parametersAnd->；
The logic for acquiring the knowledge graph update frequency variation coefficient is as follows:
s101, acquiring actual knowledge graph updating frequencies of different moments in T time when the power grid dispatching knowledge graph dynamic updating system operates, and calibrating the actual knowledge graph updating frequencies as ，xThe number of the actual knowledge graph updating frequency of different moments in the T time when the power grid dispatching knowledge graph dynamic updating system operates is represented,x=1、2、3、4、……、m，mis a positive integer;
s102, calculating a knowledge-graph updating frequency average value and a knowledge-graph updating frequency standard deviation according to the actual knowledge-graph updating frequency acquired in the T time, and calibrating the knowledge-graph updating frequency average value and the knowledge-graph updating frequency standard deviation as respectivelyAnd->Then: />Then:；
s103, updating the frequency average value through the knowledge graph calculated in the T timeAnd knowledge-graph update frequency standard deviation +.>Calculating a variation coefficient of the update frequency of the knowledge graph, wherein the calculated expression is as follows: />Wherein->Representing the update frequency variation coefficient of the knowledge graph;
s104, calculating a knowledge graph update frequency variation coefficient, wherein the calculated expression is as follows:；
the logic for acquiring the power grid dispatching data conversion delay coefficient is as follows:
s201, acquiring an optimal data conversion delay range of the power grid dispatching knowledge graph dynamic updating system for power grid dispatching data conversion, and calibrating the optimal data conversion delay range as；
S202, acquiring power grid dispatching knowledge graph dynamic stateThe updating system performs actual data conversion delay of a plurality of power grid dispatching data conversions in T time, and marks the actual data conversion delay as ，kThe number of the actual data conversion delay of the power grid dispatching knowledge graph dynamic updating system for converting the power grid dispatching data in the T time is represented,k=1、2、3、4、……、n，nis a positive integer;
s203, acquiring a power grid dispatching knowledge graph dynamic updating system in a time T which is larger than the optimal data conversion delay rangeMaximum value->Is recalibrated to +.>，yRepresenting that the power grid dispatching knowledge graph dynamic updating system obtains a delay range which is larger than the optimal data conversion in the T timeMaximum value->Is a number of actual data conversion delays of (a),y=1、2、3、4、……、N，Nis a positive integer;
s204, calculating a power grid dispatching data conversion delay coefficient, wherein the calculated expression is as follows:wherein, the method comprises the steps of, wherein,nthe total quantity of actual data conversion delays acquired by the power grid dispatching knowledge graph dynamic updating system in the T time is represented;
map data display information of power grid dispatching knowledge map dynamic updating system operationComprises a graph data drift coefficient, and after acquisition, a graph updating data acquisition module calibrates the graph data drift coefficient as；
The logic for graph data drift coefficient acquisition is as follows:
s301, acquiring actual data source information acquired by a power grid dispatching knowledge graph dynamic updating system in a time T, simultaneously acquiring actual data graph information generated according to the actual data source information, and respectively calibrating an actual data source value acquired by the system in the time T and an actual data graph value generated according to a corresponding actual data source value at the same time to be And->，pRepresenting the number of the actual data source value acquired by the system in the T time and the actual data graph value generated according to the corresponding actual data source value at the same moment,p=1、2、3、4、……、q，qis a positive integer;
s302, calculating a graphic data drift coefficient, wherein the calculated expression is as follows:wherein->Representing the time period presented by the actual data graphic information when the actual data source information acquisition is completed, +.>；
The central processing unit is used for comprehensively analyzing the processed power grid dispatching data processing information and the graph data display information in the running process of the power grid dispatching knowledge graph dynamic updating system, generating a data quality assessment index and transmitting the data quality assessment index to the analysis module;
the CPU obtains the frequency variation coefficient of the update of the knowledge graphConversion delay coefficient of power grid dispatching dataGraphic data drift coefficient->Afterwards, will->、/>And +.>Formulating to generate data quality evaluation index +.>The formula according to is:wherein->、/>、/>Updating frequency variation coefficients for the knowledge graphs respectively>Power grid dispatching data conversion delay coefficient>Graphic data drift coefficientIs a preset proportionality coefficient of>、/>、/>Are all greater than 0;
the analysis module is used for comparing and analyzing the data quality evaluation index generated when the power grid dispatching knowledge graph dynamic updating system operates with a preset data quality evaluation index reference threshold value, generating a high-quality signal or a low-quality signal, transmitting the signal to the prompt module, and sending an early warning prompt through the prompt module.
2. The power grid dispatching knowledge graph management system according to claim 1, wherein the analysis module compares a data quality evaluation index generated during the operation of the power grid dispatching knowledge graph dynamic updating system with a preset data quality evaluation index reference threshold value for analysis, generates a low-quality signal if the data quality evaluation index is greater than or equal to the data quality evaluation index reference threshold value, transmits the signal to the prompt module, and sends an early warning prompt through the prompt module; if the data quality evaluation index is smaller than the data quality evaluation index reference threshold, a high-quality signal is generated and transmitted to the prompt module, and the early warning prompt is not sent out through the prompt module.
3. The power grid dispatching knowledge graph management system of claim 2, further comprising an operation and maintenance management module;
and the operation and maintenance management module is used for establishing an analysis set for comprehensively analyzing a plurality of data quality evaluation indexes output by the central processing unit in real time when the power grid dispatching knowledge graph dynamic updating system operates, so that the power grid dispatching knowledge graph dynamic updating system achieves a stable and efficient operation state.
4. A power grid dispatching knowledge graph management system as recited in claim 3, wherein the operation and maintenance management module establishes an analysis set for a plurality of data quality evaluation indexes output in real time by the central processing unit when the power grid dispatching knowledge graph dynamic updating system is operated, and marks the analysis set as ZThen，jA number representing a data quality assessment index within the analysis set,j=1、2、3、4、……、u，uis a positive integer;
calculating a data quality evaluation index standard deviation and a data quality evaluation index average value by analyzing a plurality of data quality evaluation indexes in the collection, and respectively calibrating the data quality evaluation index standard deviation and the data quality evaluation index average value asAnd->Standard deviation of data quality assessment index>The calculation formula of (2) is as follows: />Data quality assessment index mean ∈ ->The calculation formula of (2) is as follows: />；
Standard deviation of data quality assessment indexAnd data quality assessment index mean ∈ ->Respectively with a preset standard deviation reference threshold +.>And a preset data quality assessment index reference threshold +.>Comparing, and reaching ++when the power grid dispatching knowledge graph dynamic updating system operates>And when the system is in the state of (2), generating a signal of successful operation and maintenance management through the operation and maintenance management module, sending the signal to the mobile prompt terminal, and prompting the successful operation and maintenance management of the system through the mobile prompt terminal.
5. A method for dynamically updating a power grid dispatching knowledge graph, which is realized by the power grid dispatching knowledge graph management system according to any one of claims 1-4, and is characterized by comprising the following steps:
Collecting a plurality of data information including power grid dispatching data processing information and map data display information when the power grid dispatching knowledge map dynamic updating system operates, and processing the power grid dispatching data processing information and the map data display information when the power grid dispatching knowledge map dynamic updating system operates after the data information is collected;
comprehensively analyzing the processed power grid dispatching data processing information and the graph data display information of the power grid dispatching knowledge graph dynamic updating system during operation to generate a data quality assessment index;
comparing and analyzing a data quality evaluation index generated when the power grid dispatching knowledge graph dynamic updating system operates with a preset data quality evaluation index reference threshold value, generating a high-quality signal or a low-quality signal, and sending an early warning prompt to the low-quality signal;
and establishing an analysis set for comprehensively analyzing a plurality of data quality evaluation indexes output in real time when the power grid dispatching knowledge graph dynamic updating system operates, so that the power grid dispatching knowledge graph dynamic updating system achieves a stable and efficient operating state.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115293507A (en) * | 2022-07-04 | 2022-11-04 | 中国电力科学研究院有限公司 | Situation knowledge graph construction method and system for power grid dispatching operation management |
| WO2022262320A1 (en) * | 2021-06-15 | 2022-12-22 | 广东电网有限责任公司湛江供电局 | Information completion method for knowledge graph-based power distribution network cim model, and system |
| CN116976043A (en) * | 2023-05-26 | 2023-10-31 | 南京航空航天大学 | Knowledge graph-based intelligent auxiliary decision-making method for SDSS (Standard data System) power grid |
Family Cites Families (1)
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022262320A1 (en) * | 2021-06-15 | 2022-12-22 | 广东电网有限责任公司湛江供电局 | Information completion method for knowledge graph-based power distribution network cim model, and system |
| CN115293507A (en) * | 2022-07-04 | 2022-11-04 | 中国电力科学研究院有限公司 | Situation knowledge graph construction method and system for power grid dispatching operation management |
| CN116976043A (en) * | 2023-05-26 | 2023-10-31 | 南京航空航天大学 | Knowledge graph-based intelligent auxiliary decision-making method for SDSS (Standard data System) power grid |
Non-Patent Citations (2)
| Title |
|---|
| 知识图谱及其在电力系统中的应用研究综述;高海翔 等;广东电力(第09期);第71-81页 * |
| 调度自动化系统知识图谱的构建与应用;李新鹏 等;中国电力(第02期);第75-82, 162页 * |
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