Intelligent power grid real-time regulation and control system and method based on electric power communication

Abstract

The invention provides an intelligent power grid real-time regulation and control system and method based on electric power communication, and relates to the technical field of power grid regulation and control, and the method comprises the steps: reading a first predetermined related feature set; traversing and matching in a distributed database to obtain a first feature information set; judging whether the first characteristic data volume reaches a preset data volume threshold value or not to obtain a first judgment result; calling a predetermined information transmission strategy to transmit the first feature information to a regulation and control server; and performing real-time regulation and control on the power grid according to the power grid regulation and control decision of the regulation and control server. Through matching the power grid feature information related to the first predetermined regulation and control category in the distributed database, a targeted transmission target of the power grid information is realized, and then personalized transmission is performed on the first feature information set based on the predetermined information transmission strategy, so that the information transmission efficiency and the information transmission reliability are effectively improved, and the user experience is improved. The technical effect of providing timely and effective information for the power grid regulation and control decision is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of power grid control, and in particular to a smart grid real-time control system and method based on power communication. Background Art

[0002] In modern power systems, the stable operation of power grids is crucial to ensuring social production and residents' lives. With the continuous expansion of the scale and increase in complexity of power grids, it is particularly important to effectively regulate and control the power grid. Power grid regulation involves real-time monitoring and adjustment of the power grid operation status, power load, power generation and power equipment to ensure the reliability and economy of power supply. With the rapid development of information technology, the amount of data that can be processed by power grid regulation systems has increased significantly. However, how to quickly and accurately extract information that is useful for regulation decisions from massive power grid data, and how to reduce unnecessary data transmission while ensuring the regulation effect, so as to reduce network burden and improve system response speed, are also problems that current power grid regulation technology needs to solve.

[0003] Therefore, there is an urgent need for a new technical solution that can efficiently process grid characteristic information, dynamically adjust data transmission strategies, and realize real-time regulation of the grid to improve the operating efficiency and reliability of the grid. Summary of the invention

[0004] The purpose of this application is to provide a smart grid real-time control system and method based on power communication, so as to solve the problem that the existing power communication technology cannot efficiently transmit a large amount of real-time characteristic information of the power grid, thereby resulting in poor timeliness and low accuracy of smart grid control.

[0005] In view of the above problems, the present application provides a smart grid real-time control system and method based on power communication.

[0006] In the first aspect, the present application provides a smart grid real-time control system based on power communication, and the smart grid real-time control system based on power communication includes: a feature reading module, which is used to read a first predetermined related feature set, wherein the first predetermined related feature set refers to a set of power grid related features corresponding to a first predetermined control category; an information traversal module, which is used to traverse and match the first predetermined related feature set in a distributed database to obtain a first feature information set; a data volume judgment module, which is used to judge whether the first feature data volume reaches a predetermined data volume threshold, and obtain a first judgment result, wherein the first feature data volume refers to the data volume of the first feature information in the first feature information set; an information transmission module, which is used to call a predetermined information transmission strategy according to the first judgment result, and transmit the first feature information to a control server based on the predetermined information transmission strategy; a power grid control module, which is used to perform real-time control of the power grid according to the power grid control decision of the control server.

[0007] In a second aspect, the present application also provides a real-time control method for a smart grid based on power communication, which is implemented by executing a real-time control system for a smart grid based on power communication as described in the first aspect, wherein the real-time control method for a smart grid based on power communication includes: reading a first predetermined related feature set, wherein the first predetermined related feature set refers to a set of power grid related features corresponding to a first predetermined control category; traversing and matching the first predetermined related feature set in a distributed database to obtain a first feature information set; judging whether the first feature data volume reaches a predetermined data volume threshold to obtain a first judgment result, wherein the first feature data volume refers to the data volume of the first feature information in the first feature information set; retrieving a predetermined information transmission strategy according to the first judgment result, and transmitting the first feature information to a control server based on the predetermined information transmission strategy; and performing real-time control of the power grid according to the power grid control decision of the control server.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages: 1. By reading a first predetermined related feature set, the first predetermined related feature set refers to a set of power grid related features corresponding to a first predetermined regulation category; traversing and matching the first predetermined related feature set in a distributed database to obtain a first feature information set; judging whether the first feature data volume reaches a predetermined data volume threshold, and obtaining a first judgment result, wherein the first feature data volume refers to the data volume of the first feature information in the first feature information set; calling a predetermined information transmission strategy according to the first judgment result, and transmitting the first feature information to a regulation server based on the predetermined information transmission strategy; and performing real-time regulation of the power grid according to the power grid regulation decision of the regulation server. In other words, by matching the power grid feature information related to the first predetermined regulation category in a distributed database, the targeted transmission target of the power grid information is achieved, and then the first feature information set is personalized based on the predetermined information transmission strategy, which effectively improves the information transmission efficiency and information transmission reliability, and achieves the technical effect of providing timely and effective information for power grid regulation decisions.

[0009] 2. By screening out characteristic information useful for the control decision of the first predetermined control category from a large amount of power grid data, it is ensured that the amount of data transmitted to the control server is sufficient and not too redundant, thereby achieving the effect of optimizing data processing efficiency.

[0010] 3. By selecting the appropriate information transmission strategy based on the data volume, unnecessary data transmission is reduced and bandwidth resources are saved.

[0011] 4. By transmitting characteristic information useful for the control decision of the first predetermined control category in real time and executing the control decision, it is possible to quickly respond to changes in the power grid state and improve the operating efficiency and safety of the power grid.

[0012] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0014] Figure 1 This is a schematic diagram of the structure of the smart grid real-time control system based on power communication in this application; Figure 2 This is a flow chart of a real-time control method of a smart grid based on power communication in this application; Description of reference numerals: Feature reading module 11, information traversal module 12, data volume determination module 13, information transmission module 14, power grid control module 15. DETAILED DESCRIPTION

[0015] This application provides a real-time control system and method for smart grids based on power communication, which solves the problem that the amount of data to be transmitted increases significantly as the scale of the power grid expands and the degree of intelligence increases. However, the communication system in the prior art cannot meet the requirements of speed and accuracy of real-time control when transmitting a large amount of data information, resulting in slow response and poor control accuracy of the power grid. The technical goal of accurate and efficient transmission of relevant power grid characteristic information is achieved, and the technical effect of improving the timeliness and effectiveness of power grid control is achieved.

[0016] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0017] For example, please refer to the attached Figure 1 The present application provides a smart grid real-time control system based on power communication, wherein the smart grid real-time control system based on power communication is used to execute a smart grid real-time control method based on power communication, and the smart grid real-time control system based on power communication specifically includes: The feature reading module 11 is used to read a first predetermined related feature set, where the first predetermined related feature set refers to a set of power grid related features corresponding to a first predetermined regulation category.

[0018] The information traversal module 12 is used to traverse and match the first predetermined related feature set in a distributed database to obtain a first feature information set.

[0019] The data volume judgment module 13 is used to judge whether the first characteristic data volume reaches a predetermined data volume threshold value to obtain a first judgment result, wherein the first characteristic data volume refers to the data volume of the first characteristic information in the first characteristic information set.

[0020] The information transmission module 14 is used to retrieve a predetermined information transmission strategy according to the first judgment result, and transmit the first characteristic information to the control server based on the predetermined information transmission strategy.

[0021] The power grid control module 15 is used to control the power grid in real time according to the power grid control decision of the control server.

[0022] Among them, the feature reading module is also used to: obtain a first historical record in the historical power grid regulation record, the first historical record includes a first historical power grid feature information set and a first historical power grid regulation category; use the first historical power grid regulation category as a dependent variable, and use multiple historical feature information in the first historical power grid feature information set as independent variables; perform correlation analysis on the independent variable and the dependent variable to obtain a first correlation result; analyze the first correlation result to obtain a first related feature set for the first regulation category; form a regulation category-power grid feature list based on a first corresponding relationship between the first regulation category and the first related feature set; and obtain the first predetermined related feature set for the first predetermined regulation category based on the regulation category-power grid feature list.

[0023] Wherein, the feature reading module is also used to: obtain a preset correlation value threshold, wherein the preset correlation value threshold includes a first preset threshold and a second preset threshold; extract any correlation coefficient value in the first correlation result, wherein the arbitrary correlation coefficient value includes a first arbitrary correlation coefficient value and a second arbitrary horizontal correlation coefficient value; determine whether the first arbitrary correlation coefficient value meets the first preset threshold; if so, obtain a first add instruction, and based on the first add instruction, add the independent variable feature corresponding to the arbitrary correlation coefficient value to the first correlation feature set, if not, determine whether the second arbitrary horizontal correlation coefficient value meets the second preset threshold; if so, obtain a second add instruction, and based on the second add instruction, add the independent variable feature corresponding to the arbitrary correlation coefficient value to the first correlation feature set, if not, obtain a skip instruction, and the skip instruction is used to skip the independent variable feature corresponding to the arbitrary correlation coefficient value.

[0024] Among them, the information transmission module is also used for: when the first characteristic data volume reaches the predetermined data volume threshold, calling the predetermined segmentation parallel strategy in the predetermined information transmission strategy; segmenting the first characteristic information according to the predetermined segmentation parallel strategy to obtain a first segmentation result, and the first segmentation result includes multiple information blocks; and transmitting the multiple information blocks in parallel to the control server.

[0025] Among them, the information transmission module is also used to: obtain the second feature data volume of the second feature information in the first feature information set; when both the first feature data volume and the second feature data volume do not reach the predetermined data volume threshold, call the predetermined clustering merging strategy in the predetermined information transmission strategy; cluster the first feature information and the second feature information according to the predetermined clustering merging strategy to obtain a first clustering result, and the first clustering result includes multiple clustering clusters; and transmit the multiple clustering clusters in parallel to the control server.

[0026] Among them, it also includes a transmission garbage cleaning module, which is used to: obtain a predetermined transmission rate, the predetermined transmission rate refers to the rate at which the reserved track transmits data, and the reserved track refers to the information transmission buffer middle station that transmits the real-time operation characteristic information of the power grid to the control server; add the first characteristic data amount to obtain the first data total amount of the first characteristic information set; combine the predetermined transmission rate and the first data total amount to obtain the first transmission duration; activate the predetermined buffer cleaning mechanism according to the first transmission duration, and clean up garbage on the reserved track according to the predetermined buffer cleaning mechanism.

[0027] The power grid control module is further used to obtain a predetermined control transmission track, and transmit the power grid control decision through the predetermined control transmission track.

[0028] Embodiment 2, based on the same inventive concept as the smart grid real-time control system based on power communication in the previous embodiment, this application also provides a smart grid real-time control method based on power communication, please refer to the attached Figure 2 , the real-time control method of smart grid based on power communication includes: A first predetermined related feature set is read, where the first predetermined related feature set refers to a set of power grid related features corresponding to a first predetermined regulation category.

[0029] Specifically, a feature set related to a specific regulation category is extracted from the power grid system, that is, the power grid operation features that are closely related to the predetermined regulation target are identified and collected. Through such analysis, highly refined monitoring and management of the power grid state can be achieved, thereby providing data support for the stable operation and optimized control of the power grid. First, the first predetermined regulation category is determined, which is usually based on the specific needs or management goals of the power grid operation. For example, the demand for real-time regulation of the operation status, load, equipment control, power generation dispatching, communication network, security monitoring, etc. of the power grid is exemplary. Then, the power grid data related to this regulation category is read, and these data constitute the first predetermined related feature set. Next, these features are analyzed in detail to identify the key factors affecting the operation of the power grid. In addition, historical data and real-time data may be combined to improve the accuracy and real-time nature of the analysis. Finally, through the analysis of these features, the current state of the power grid can be better understood, and corresponding regulation decisions can be made accordingly. By reading and analyzing the power grid feature set related to the specific regulation category, accurate monitoring and intelligent regulation of the power grid state can be achieved. This not only improves the operating efficiency and stability of the power grid, but also provides important support for the intelligent management of the power grid.

[0030] The first predetermined related feature set is traversed and matched in a distributed database to obtain a first feature information set.

[0031] Specifically, by traversing and matching the first predetermined relevant feature set in the distributed database, the first feature information set is obtained, which realizes the rapid screening and analysis of a large amount of power grid data, and provides key information for the subsequent power grid state evaluation and regulation decision. First, the first predetermined relevant feature set is input into the distributed database. Then, the database is traversed to match these features. Next, the relevant feature information is collected according to the matching results, and this information constitutes the first feature information set. In addition, this process may also involve data cleaning and preprocessing to ensure the accuracy and efficiency of the matching. Finally, by analyzing these feature information, the operating status and potential problems of the power grid can be more deeply understood. By traversing and matching the first predetermined relevant feature set in the distributed database and obtaining the first feature information set, the processing capability and analysis depth of the power grid data are effectively improved. This not only helps to quickly identify the key features in the operation of the power grid, but also ensures that the amount of data transmitted to the regulation server is sufficient and not too redundant by screening out the feature information that is useful for the regulation decision of the first predetermined regulation category from a large amount of power grid data, thereby achieving the effect of optimizing data processing efficiency.

[0032] It is determined whether the first feature data volume reaches a predetermined data volume threshold value to obtain a first determination result, wherein the first feature data volume refers to the data volume of the first feature information in the first feature information set.

[0033] Specifically, the amount of data in the first feature information set is judged to determine whether it reaches a predetermined data amount threshold. That is to say, by setting a data amount threshold, data of different sizes can be effectively personalized for transmission, thereby improving the efficiency of data transmission. First, a predetermined data amount threshold is determined, and this threshold is related to the bandwidth of the communication system, etc. Then, the first feature data amount in the first feature information set is calculated and compared with the predetermined threshold. If the data amount reaches or exceeds the threshold, the data amount is considered to be large, otherwise the data amount is considered to be small. In addition, this process may also include further analysis of data distribution and data quality to more comprehensively evaluate the validity of the data. Finally, based on the comparison result, a first judgment result is obtained, which will guide subsequent data processing and analysis work. By judging whether the first feature data amount reaches the predetermined data amount threshold and obtaining the first judgment result, a basis is provided for subsequent customization of personalized transmission strategies for data information of different sizes.

[0034] A predetermined information transmission strategy is retrieved according to the first judgment result, and the first characteristic information is transmitted to the control server based on the predetermined information transmission strategy.

[0035] Specifically, a predetermined information transmission strategy is retrieved according to the first judgment result, and the first characteristic information is transmitted to the control server based on the strategy. Through intelligent management and efficient transmission of characteristic information, it is ensured that the control server can receive timely and relevant power grid data, thereby improving the accuracy and efficiency of power grid control. First, according to the first judgment result, the required information transmission strategy is determined. For example, if the first judgment result indicates that the amount of data is large, it may be selected to transmit the characteristic parameter in multiple segments simultaneously through multiple paths to ensure the real-time nature of the data. Then, according to the selected transmission strategy, the first characteristic information is prepared for transmission. Next, the characteristic information is sent to the control server. In addition, data encryption and compression may also be involved in the transmission process to ensure data security and transmission efficiency. Finally, after receiving the data, the control server processes and analyzes it to support real-time control of the power grid. By retrieving a predetermined information transmission strategy according to the first judgment result and transmitting the first characteristic information to the control server based on the strategy, it is ensured that the control system can receive high-quality and timely data. This not only optimizes the data transmission process, but also improves the intelligence level and response speed of power grid control.

[0036] The power grid is regulated in real time according to the power grid regulation decision of the regulation server, including obtaining a predetermined regulation transmission track, and transmitting the power grid regulation decision through the predetermined regulation transmission track.

[0037] Specifically, the power grid is regulated in real time according to the power grid regulation decision of the regulation server, and the real-time monitoring and adjustment of the power grid are realized while ensuring that the regulation decision can be quickly and accurately transmitted to the power grid system, so as to ensure the stable operation and optimized control of the power grid. First, the regulation server generates the regulation decision according to the real-time data of the power grid and the preset regulation strategy. Then, the predetermined regulation transmission track is obtained, which is a transmission channel dedicated to the regulation decision, which can ensure that the transmission of the regulation data is not affected by other non-critical data streams. Next, the regulation decision is transmitted to the power grid system through this regulation transmission track. In addition, in order to ensure the security and efficiency of the transmission, data encryption and error checking may also be adopted. Finally, the power grid is regulated in real time according to these decisions to achieve stable operation and optimized control of the power grid. By obtaining the predetermined regulation transmission track and transmitting the regulation decision through the track, it is ensured that the regulation decision can reach the power grid system quickly and accurately. This not only improves the response speed of power grid regulation, but also enhances the reliability and security of the regulation process.

[0038] Among them, it includes: obtaining a first historical record in the historical power grid control record, the first historical record including a first historical power grid feature information set and a first historical power grid control category; taking the first historical power grid control category as a dependent variable, and taking multiple historical feature information in the first historical power grid feature information set as independent variables; performing a correlation analysis on the independent variable and the dependent variable to obtain a first correlation result; analyzing the first correlation result to obtain a first related feature set of the first control category; establishing a control category-power grid feature list according to a first corresponding relationship between the first control category and the first related feature set; and obtaining the first predetermined related feature set of the first predetermined control category based on the control category-power grid feature list.

[0039] Specifically, by analyzing the historical power grid control records, a correlation model between control categories and power grid characteristics is constructed to provide data support for current power grid control. In other words, by identifying and utilizing the key features related to each control category in historical data, the power grid control strategy can be optimized to improve the accuracy and efficiency of control.

[0040] First, a first historical record is obtained from the historical power grid regulation record, which includes a historical power grid feature information set and a historical power grid regulation category. Then, the historical power grid regulation category is used as the dependent variable, and the multiple historical feature information in the historical feature information set is used as the independent variable. Next, a correlation analysis is performed on these independent variables and the dependent variable to obtain a first correlation result. In addition, by analyzing the first correlation result, features that are highly correlated with a specific regulation category can be identified to form a first related feature set for the first regulation category. Then, according to the correspondence between the regulation category and the related feature set, a regulation category-power grid feature list is formed. Finally, based on this list, the first predetermined related feature set of the current first predetermined regulation category is obtained.

[0041] By analyzing the correlation in historical control records, the corresponding relationship between control categories and power grid characteristics is constructed, and the first predetermined related feature set is obtained accordingly, so that historical data is effectively used to optimize the current power grid control strategy.

[0042] Among them, it includes: obtaining a preset correlation value threshold, wherein the preset correlation value threshold includes a first preset threshold and a second preset threshold; extracting any correlation coefficient value in the first correlation result, wherein the arbitrary correlation coefficient value includes a first arbitrary correlation coefficient value and a second arbitrary horizontal correlation coefficient value; judging whether the first arbitrary correlation coefficient value meets the first preset threshold; if so, obtaining a first adding instruction, and adding the independent variable feature corresponding to the arbitrary correlation coefficient value to the first correlation feature set based on the first adding instruction, if not, judging whether the second arbitrary horizontal correlation coefficient value meets the second preset threshold; if so, obtaining a second adding instruction, and adding the independent variable feature corresponding to the arbitrary correlation coefficient value to the first correlation feature set based on the second adding instruction, if not, obtaining a skipping instruction, and the skipping instruction is used to skip the independent variable feature corresponding to the arbitrary correlation coefficient value.

[0043] Specifically, identify and select power grid features that are highly relevant to the regulation category, so as to construct a more accurate set of relevant features to support power grid regulation decisions. First, set two preset correlation value thresholds, namely the first preset threshold and the second preset threshold. For example, the first preset threshold is set to a correlation threshold at the level of 0.01, and the second preset threshold is set to a correlation threshold at the level of 0.05. Then, extract any correlation coefficient value from the first correlation result, including the first arbitrary correlation coefficient value and the second arbitrary level correlation coefficient value. Next, determine whether the first arbitrary correlation coefficient value meets the first preset threshold. If it does, obtain a first add instruction, and add the corresponding independent variable feature to the first related feature set. If it does not, further determine whether the second arbitrary level correlation coefficient value meets the second preset threshold. If it does, obtain a second add instruction, and add the corresponding independent variable feature to the first related feature set. If neither is satisfied, obtain a skip instruction, and the corresponding independent variable feature will be skipped and not added to the related feature set.

[0044] By setting a preset correlation value threshold and screening the correlation analysis results, we effectively selected the grid features that are highly relevant to the regulation category, such as significant grid features and extremely significant grid features. This not only improves the accuracy and efficiency of feature selection, but also provides more accurate data support for grid regulation.

[0045] Among them, it includes: when the first feature data volume reaches the predetermined data volume threshold, calling the predetermined segmentation parallel strategy in the predetermined information transmission strategy; segmenting the first feature information according to the predetermined segmentation parallel strategy to obtain a first segmentation result, and the first segmentation result includes multiple information blocks; transmitting the multiple information blocks in parallel to the control server.

[0046] Specifically, when the amount of the first characteristic data reaches a predetermined data amount threshold, the split parallel strategy in the predetermined information transmission strategy is used to optimize the data transmission process. That is to say, by splitting processing and parallel transmission, the efficiency and speed of data transmission are improved, so as to ensure that the control server can quickly receive a large amount of data and support the real-time control of the power grid. First, when the amount of the first characteristic data reaches the predetermined data amount threshold, the predetermined split parallel strategy in the predetermined information transmission strategy is called. Then, according to this strategy, the first characteristic information is split and processed to obtain a first split result, which includes multiple information blocks. Next, these information blocks are transmitted in parallel to the control server. In addition, data encryption and error checking may be adopted during the transmission process to ensure the security and accuracy of the data. Finally, after receiving these information blocks, the control server reorganizes and analyzes them to support the real-time control of the power grid. By calling the predetermined split parallel strategy when the amount of the first characteristic data reaches the predetermined data amount threshold, and splitting and parallel transmission of the first characteristic information, the efficiency and speed of data transmission are effectively improved.

[0047] Among them, it includes: obtaining the second feature data volume of the second feature information in the first feature information set; when both the first feature data volume and the second feature data volume have not reached the predetermined data volume threshold, calling the predetermined clustering merging strategy in the predetermined information transmission strategy; clustering the first feature information and the second feature information according to the predetermined clustering merging strategy to obtain a first clustering result, the first clustering result includes multiple clustering clusters; and transmitting the multiple clustering clusters in parallel to the control server.

[0048] Specifically, when the first characteristic data amount and the second characteristic data amount in the first characteristic information set do not reach the predetermined data amount threshold, the clustering merging strategy in the predetermined information transmission strategy is adopted to optimize the data transmission process. In other words, through clustering processing and parallel transmission, the efficiency and speed of data transmission are improved, thereby ensuring that the control server can quickly receive the optimized data and support real-time control of the power grid.

[0049] First, the second characteristic data volume of the second characteristic information in the first characteristic information set is obtained, and the second characteristic information refers to any characteristic information other than the first characteristic information in the first characteristic information set. Then, it is determined whether the first characteristic data volume and the second characteristic data volume have not reached the predetermined data volume threshold. If so, the predetermined clustering merging strategy in the predetermined information transmission strategy is retrieved. For example, information of the same data type is clustered into a cluster, such as text data, picture data, etc. Next, according to this strategy, the first characteristic information and the second characteristic information are clustered to obtain a first clustering result, which includes multiple clustering clusters. These clustering clusters are then transmitted in parallel to the control server. Through cluster transmission, the number of transmissions of the same type of data can be effectively reduced. In addition, measures such as data encryption and error checking may be used during the transmission process to ensure the security and accuracy of the data. Finally, after receiving these clustering clusters, the control server reorganizes and analyzes them to support real-time control of the power grid.

[0050] By calling the predetermined clustering merging strategy when the first characteristic data volume and the second characteristic data volume do not reach the predetermined data volume threshold, and clustering and parallel transmission of the first characteristic information and the second characteristic information, the efficiency and speed of data transmission are effectively improved. This not only optimizes the data transmission process, but also enhances the ability of the control server to process large amounts of data, thereby improving the real-time and accuracy of power grid control.

[0051] Among them, it also includes: obtaining a predetermined transmission rate, the predetermined transmission rate refers to the rate at which the reserved track transmits data, and the reserved track refers to the information transmission buffer middle station that transmits the real-time operation characteristic information of the power grid to the control server; adding the first characteristic data amount to obtain the first data total amount of the first characteristic information set; combining the predetermined transmission rate and the first data total amount to obtain a first transmission duration; activating a predetermined buffer cleaning mechanism according to the first transmission duration, and performing garbage cleaning on the reserved track according to the predetermined buffer cleaning mechanism.

[0052] Specifically, the first transmission duration is determined according to the predetermined transmission rate and the total amount of data in the first characteristic information set, and the predetermined buffer cleaning mechanism is activated accordingly to optimize the management of the information transmission buffer middle station. The core of this process is to ensure that the reserved track can efficiently and cleanly transmit the real-time operation characteristic information of the power grid, thereby improving the speed and quality of the data received by the control server.

[0053] First, obtain a predetermined transmission rate, which is the rate at which the reserved track transmits data. Then, calculate the first data amount of the first characteristic information set, which is obtained by summing the first characteristic data amount. Next, calculate the first transmission duration in combination with the predetermined transmission rate and the first data amount. Then, activate the predetermined buffer cleaning mechanism based on this transmission duration. In addition, according to the predetermined buffer cleaning mechanism, perform garbage cleaning on the reserved track to remove any obstacles that may affect the transmission efficiency. Finally, through such cleaning, it is ensured that the reserved track is unimpeded when transmitting data. By obtaining the predetermined transmission rate and the first data amount, and activating the predetermined buffer cleaning mechanism accordingly, the efficiency and quality of the reserved track in transmitting the real-time operation characteristic information of the power grid are ensured. This not only improves the speed of data transmission, but also ensures the accuracy of the data received by the control server.

[0054] In summary, the real-time control method of smart grid based on power communication provided by this application has the following technical effects: 1. By reading a first predetermined related feature set, the first predetermined related feature set refers to a set of power grid related features corresponding to a first predetermined regulation category; traversing and matching the first predetermined related feature set in a distributed database to obtain a first feature information set; judging whether the first feature data volume reaches a predetermined data volume threshold, and obtaining a first judgment result, wherein the first feature data volume refers to the data volume of the first feature information in the first feature information set; calling a predetermined information transmission strategy according to the first judgment result, and transmitting the first feature information to a regulation server based on the predetermined information transmission strategy; and performing real-time regulation of the power grid according to the power grid regulation decision of the regulation server. In other words, by matching the power grid feature information related to the first predetermined regulation category in a distributed database, the targeted transmission target of the power grid information is achieved, and then the first feature information set is personalized based on the predetermined information transmission strategy, which effectively improves the information transmission efficiency and information transmission reliability, and achieves the technical effect of providing timely and effective information for power grid regulation decisions.

[0055] 2. By screening out characteristic information useful for the control decision of the first predetermined control category from a large amount of power grid data, it is ensured that the amount of data transmitted to the control server is sufficient and not too redundant, thereby achieving the effect of optimizing data processing efficiency.

[0056] 3. By selecting the appropriate information transmission strategy based on the data volume, unnecessary data transmission is reduced and bandwidth resources are saved.

[0057] 4. By transmitting characteristic information useful for the control decision of the first predetermined control category in real time and executing the control decision, it is possible to quickly respond to changes in the power grid state and improve the operating efficiency and safety of the power grid.

[0058] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The specific embodiments of the smart grid real-time control method based on power communication in this embodiment are also applicable to the aforementioned Figure 1 The real-time control system of the smart grid based on power communication in Example 1. The above description of the disclosed embodiments enables professionals and technicians in this field to implement or use the present application. Various modifications to these embodiments will be obvious to professionals and technicians in this field, and the general principles defined in this article can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown in this article, but will conform to the widest scope consistent with the principles and novel features disclosed in this article.

[0059] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A smart grid real-time control system based on power communication, characterized in that: include: A feature reading module, which is used to read a first predetermined related feature set, where the first predetermined related feature set refers to a set of power grid related features corresponding to a first predetermined regulation category; An information traversal module, used for traversing and matching the first predetermined related feature set in a distributed database to obtain a first feature information set; a data volume determination module, which is used to determine whether the first characteristic data volume reaches a predetermined data volume threshold value, and obtain a first determination result, wherein the first characteristic data volume refers to the data volume of the first characteristic information in the first characteristic information set; an information transmission module, configured to retrieve a predetermined information transmission strategy according to the first judgment result, and transmit the first characteristic information to a control server based on the predetermined information transmission strategy; A power grid control module is used to control the power grid in real time according to the power grid control decision of the control server.

2. According to claim 1, the smart grid real-time control system based on power communication is characterized in that: The feature reading module is also used for: Acquire a first historical record in the historical power grid regulation and control records, wherein the first historical record includes a first historical power grid feature information set and a first historical power grid regulation and control category; Taking the first historical power grid regulation category as a dependent variable and taking a plurality of historical characteristic information in the first historical power grid characteristic information set as independent variables; Performing a correlation analysis on the independent variable and the dependent variable to obtain a first correlation result; Analyzing the first correlation result to obtain a first correlation feature set for a first regulation category; Establishing a control category-grid feature list according to a first correspondence between the first control category and the first related feature set; The first predetermined related feature set of the first predetermined regulation category is obtained based on the regulation category-grid feature list.

3. According to the smart grid real-time control system based on power communication according to claim 2, it is characterized in that: The feature reading module is also used for: Obtaining a preset correlation value threshold, wherein the preset correlation value threshold includes a first preset threshold and a second preset threshold; Extracting any correlation coefficient value in the first correlation result, wherein the any correlation coefficient value includes a first arbitrary correlation coefficient value and a second arbitrary horizontal correlation coefficient value; Determining whether the first arbitrary correlation coefficient value meets the first preset threshold; If yes, obtain a first adding instruction, and add the independent variable feature corresponding to the arbitrary correlation coefficient value to the first related feature set based on the first adding instruction, and if no, determine whether the second arbitrary horizontal correlation coefficient value meets the second preset threshold; If so, obtain a second adding instruction, and based on the second adding instruction, add the independent variable feature corresponding to the arbitrary correlation coefficient value to the first related feature set; if not, obtain a skipping instruction, and the skipping instruction is used to skip the independent variable feature corresponding to the arbitrary correlation coefficient value.

4. The smart grid real-time control system based on power communication according to claim 1 is characterized in that: The information transmission module is also used for: When the first characteristic data volume reaches the predetermined data volume threshold, calling the predetermined split parallel strategy in the predetermined information transmission strategy; Segment the first feature information according to the predetermined segmentation parallel strategy to obtain a first segmentation result, where the first segmentation result includes a plurality of information blocks; The plurality of information blocks are transmitted in parallel to the control server.

5. The smart grid real-time control system based on power communication according to claim 1 is characterized in that: The information transmission module is also used for: Acquire a second feature data amount of the second feature information in the first feature information set; When both the first feature data amount and the second feature data amount do not reach the predetermined data amount threshold, calling a predetermined clustering merging strategy in the predetermined information transmission strategy; performing clustering processing on the first feature information and the second feature information according to the predetermined clustering merging strategy to obtain a first clustering result, wherein the first clustering result includes a plurality of clustering clusters; The plurality of clusters are transmitted in parallel to the regulation server.

6. The smart grid real-time control system based on power communication according to claim 1 is characterized in that: Also included is a transport junk cleaning module that: Obtaining a predetermined transmission rate, wherein the predetermined transmission rate refers to a rate at which a reserved track transmits data, wherein the reserved track refers to an information transmission buffering middle station that transmits real-time operation characteristic information of a power grid to the control server; Adding the first feature data amount to obtain a first data amount of the first feature information set; Combining the predetermined transmission rate with the first total amount of data to obtain a first transmission duration; A predetermined buffer cleaning mechanism is activated according to the first transmission duration, and garbage cleaning is performed on the reserved track according to the predetermined buffer cleaning mechanism.

7. The smart grid real-time control system based on power communication according to claim 1 is characterized in that: The power grid control module is also used to obtain a predetermined control transmission track and transmit the power grid control decision through the predetermined control transmission track.

8. A real-time control method for smart grid based on power communication, characterized in that: The smart grid real-time control method based on power communication is implemented by the smart grid real-time control system based on power communication according to any one of claims 1 to 7, and the smart grid real-time control method based on power communication includes: Reading a first predetermined related feature set, where the first predetermined related feature set refers to a set of power grid related features corresponding to a first predetermined regulation category; Traversing and matching the first predetermined related feature set in a distributed database to obtain a first feature information set; Determine whether a first feature data volume reaches a predetermined data volume threshold, and obtain a first determination result, wherein the first feature data volume refers to the data volume of the first feature information in the first feature information set; Retrieving a predetermined information transmission strategy according to the first judgment result, and transmitting the first feature information to a control server based on the predetermined information transmission strategy; The power grid is regulated in real time according to the power grid regulation decision of the regulation server.

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