Power grid model information data sharing method and system

Abstract

The invention relates to the technical field of power grid data sharing control, in particular to a power grid model information data sharing method and system. Firstly, various historical data of a regulation and control center are acquired; further adjusting the sending sequence of the subscription service in combination with the active request degree according to the sequence serial number sent each time between the two regulation and control centers with the model subscription service; further acquiring an updating importance coefficient according to the fluctuation of the historical time sequence data; further, under the condition that the model subscription service does not exist, according to the record of the active request of the receiver for each remote terminal of the sender, in combination with the corresponding update important coefficient, obtaining a sharing association coefficient; further judging whether to share data or not according to the difference between the remote terminal related to the current receiving application of the regulation and control center and the historical request record; when data sharing is carried out, the sending sequence is adjusted according to the sharing association coefficient and the number of the remote terminals involved by the active request, and the sharing synchronization efficiency of the cross-level model is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid data sharing control, and particularly to a method and system for sharing power grid model information data. Background Art

[0002] The important support for the integrated operation of power grid regulation and control is the computing work of the power grid. Reliable power grid regulation and control model data is the basis for ensuring the integrated operation of the power grid regulation and control system. Among them, the sharing of power grid model data can improve the real-time performance and accuracy of cross-regional power grid regulation and control model maintenance, and can effectively enhance the overall collaborative operation ability.

[0003] At present, the sharing of power grid model information data is divided into two situations: the sharing of model data between different services within the regulation and control center, and the sharing of model data between regulation and control centers at all levels. When the data of a certain regulation and control center is changed or updated, the distribution mechanism will synchronize the update in real time to the model subscription agency. However, due to the different degrees of importance of the updated data required by different regulation and control centers, there will be a situation where the shared data required by the regulation and control center with higher requirements cannot be updated in time during the update process, resulting in a low sharing synchronization efficiency of cross-level models. Summary of the Invention

[0004] In order to solve the technical problem that the sharing synchronization efficiency is low due to the lack of priority regulation for power grid model information data, the purpose of the present invention is to provide a method and system for sharing power grid model information data, and the specific technical solutions adopted are as follows: A method for sharing power grid model information data, the method comprising: Obtaining historical time-series data of all acquisition ends of each remote terminal in the regulation and control center; obtaining historical data of model subscription services and active requests between regulation and control centers; According to the sequence number of each transmission between two regulation and control centers with model subscription services, and combining with the degree of active request, obtaining the association strength between regulation and control centers; adjusting the transmission order of the subscription services of each regulation and control center based on the association strength; According to the fluctuations of the historical time-series data of all the acquisition ends of each remote terminal, obtaining the corresponding update importance coefficient; according to the records of the active requests of the receiving party for each remote terminal of the sending party between two regulation and control centers without model subscription services, and combining with the corresponding update importance coefficient, obtaining the sharing correlation coefficient; determining whether to perform data sharing according to the difference between the remote terminals involved in the active requests currently received by the regulation and control center and the remote terminals in the historical request records; When performing data sharing, adjusting the transmission order according to the sharing correlation coefficient and quantity of the remote terminals involved in the active requests between two regulation and control centers without model subscription services.

[0005] Further, the method for obtaining the association strength includes: Between the two control centers, the mean of the reciprocals of the sending sequence numbers of all subscription updates sent by the sender to the receiver is fused with the ratio of the number of actively requested updates to the number of subscription updates, to obtain the association strength between the sender and the receiver.

[0006] Further, the method for obtaining the update importance coefficient includes: Segment the historical time series data with a preset segment length; obtain the volatility coefficient according to the slope and range of each segment of data at the acquisition end, and obtain the update sub-coefficient corresponding to the acquisition end according to the difference in the volatility coefficients of adjacent segments of data; Fuse the update sub-coefficients of all the acquisition ends of the remote terminal to obtain the corresponding update importance coefficient.

[0007] Further, the method for obtaining the shared association coefficient includes: Between the two control centers, any one of the remote terminals of the sender is used as the target terminal, and the proportion of the number of active requests of the receiver for the target terminal in the total number of active requests for all terminals of the sender is used as the association importance index; the association importance index and the update importance coefficient of the target terminal are fused to obtain the shared association coefficient corresponding to the receiver and the target terminal.

[0008] Further, the method for determining whether to share data includes: Between the two control centers, all the remote terminals involved in the active requests currently received by the sender are formed into a first set; all the remote terminals involved in the sender in the historical record of the receiver's attention requests are formed into a second set; Obtain the similarity degree coefficient between the first set and the second set, and when the similarity degree coefficient is greater than the preset similarity threshold, it is determined that data sharing is performed between the corresponding two control centers.

[0009] Further, the method for obtaining the similarity degree coefficient includes: Use the Jaccard correlation coefficient between the first set and the second set as the similarity degree coefficient.

[0010] Further, the method for adjusting the sending order includes: When it is determined to perform data sharing, the control centers involved in sending and receiving are combined into a binary group and placed in the shared pool to be sent. Between the two control centers of the binary group, the proportion of the remote terminals involved in the active request occupying all the remote terminals involved in the to-be-sent shared pool is used as the sharing priority coefficient; the sharing correlation coefficient corresponding to the remote terminals involved in the fusion receiver and the sharing priority coefficient are fused to obtain the sharing priority of the active requests of these two control centers. Data sharing is performed based on the order from largest to smallest of the sharing priorities.

[0011] Furthermore, the method for obtaining the sending order of the subscription service includes: Based on the association strength between the control center as the sender and all corresponding receivers, sending is performed in the order from largest to smallest.

[0012] Furthermore, the preset segmentation length is one day.

[0013] The present invention also proposes a power grid model information data sharing system, which includes a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, the steps of any one of the power grid model information data sharing methods are implemented.

[0014] The present invention has the following beneficial effects: The present invention first obtains various historical data of the control center to provide an analysis basis for the follow-up; further, according to the sequence number of each sending order between two control centers with model subscription services, combined with the degree of active request, analyzes the transmission priority between the control centers, adjusts the sending order of the subscription services of each control center, and improves the data sharing efficiency of the model subscription service; further, obtains and updates the importance coefficient according to the fluctuation of the historical time series data, which characterizes the importance of the remote terminal during data sharing update, and provides a basis for adjusting the sharing priority order in the follow-up; further, according to the record of the active request of the receiver for each remote terminal of the sender in the case where there is no model subscription service, combined with the corresponding updated importance coefficient, obtains the sharing correlation coefficient to quantify the association degree between the receiver and each remote terminal of the sender; further, according to the difference between the remote terminals involved in the current receiving application of the control center and the historical request record, determines whether to perform data sharing to ensure the effectiveness and compliance of the active request; finally, when data sharing is performed, adjusts the sending order according to the sharing correlation coefficient and quantity of the remote terminals involved in the active request to improve the sharing synchronization efficiency of the cross-level model. The present invention dynamically adjusts the sharing order of the model subscription service and the sharing order of the active application by analyzing the historical data of the control center, the subscription sending order, the terminal importance, and the sharing association degree, improves the cross-center model synchronization efficiency, and solves the problems of untimely response and chaotic priority in the existing sharing mechanism. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0016] Figure 1 It is a flowchart of a method for sharing power grid model information data provided by an embodiment of the present invention; Figure 2 It is a flowchart of a method for adjusting the sending order in the case of non-existent model subscription service provided by an embodiment of the present invention. Detailed implementation manners

[0017] To further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation manners, structures, features, and effects of a method and system for sharing power grid model information data proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs.

[0019] The following specifically describes the specific solutions of a method and system for sharing power grid model information data provided by the present invention with reference to the accompanying drawings.

[0020] Please refer to Figure 1 , which shows a flowchart of a method for sharing power grid model information data provided by an embodiment of the present invention, specifically including: Step S1: Obtain the historical time-series data of all acquisition ends of each remote terminal in the control center; obtain the historical data of model subscription services and active requests between control centers.

[0021] In an embodiment of the present invention, the composition of the power grid model data information sharing system includes: Hardware architecture: A high-performance GPU cluster and an operation platform are used to process massive power grid data and support real-time analysis. It is equipped with a high-speed switch, a distributed storage system (such as HFFS, relational database), and an IPFS cluster to ensure efficient data transmission and storage.

[0022] Data Aggregation Layer: Integrate main network / distribution network data, measurement data (including transformer changes, user electricity consumption data, etc.), and support the access of multi-source heterogeneous data.

[0023] Data Processing Layer: Analyze and process the data obtained by the Data Aggregation Layer.

[0024] Service Sharing Interface: Provide power grid GIS services, topology services, data services, etc., and support cross-system calls.

[0025] The power grid model data information sharing system consists of multiple control centers. Each control center has multiple remote terminal units, and each remote terminal unit contains multiple acquisition terminals used to collect switch quantities, distribution network feeder current, voltage data, etc. of substations and power plants.

[0026] The sharing of power grid model information data is mainly updated through the model subscription service and includes an active request to supplement the sharing method. First, obtain the historical time-series data of all acquisition terminals of each remote terminal in the control center; obtain the historical data of the model subscription service and active requests between control centers to provide an analysis basis for the follow-up.

[0027] It should be noted that the active request can be carefully divided into an active update request initiated by the sender and an active sharing request initiated by the receiver. The shared data of both methods is transmitted from the sender to the receiver. There is an active update request corresponding to the model subscription service initiated by the sender to the receiver, and there is an active sharing request corresponding to the receiver initiating to the sender when there is no model subscription service.

[0028] It should be noted that in an embodiment of the present invention, the time domain range of the historical data is restricted to the most recent 30 days of the current day to avoid data overflow.

[0029] Step S2: According to the sequence number of each transmission between two control centers with a model subscription service, combined with the degree of active request, obtain the association strength between the control centers; adjust the transmission order of the subscription service of each control center based on the association strength.

[0030] Considering the sequence number of data transmission between control centers with a model subscription service, it reflects the priority of data transmission from the perspective of historical laws and shows the association between control centers; as a supplementary sharing method for the model subscription service, the degree of active request reflects the additional demand degree of data sharing and also shows the association between control centers. Therefore, according to the sequence number of each transmission between two control centers with a model subscription service, combined with the degree of active request, obtain the association strength between the control centers, which characterizes the transmission priority degree between the control centers and provides a basis for adjusting the subsequent transmission order.

[0031] Preferably, in an embodiment of the present invention, considering that the smaller the sending sequence number, the earlier the sending order, the higher the priority, and the higher the association strength; the more the number of active request updates compared to the number of subscription service updates, the higher the proportion of data extra sharing transmission, the higher the sharing demand, and the higher the association strength; Based on this, between two control centers, the mean value of the reciprocals of all the sending sequence numbers of the subscription updates sent by the sender to the receiver is fused with the ratio of the number of active request updates to the number of subscription updates to obtain the association strength between the sender and the receiver.

[0032] As an example, the subscription update refers to the data sharing update in the model subscription service; the sending sequence number is sorted starting from 1, and the logical relationship is adjusted by taking the reciprocal, and the priority degree of the historical overall sending order is represented in the form of the mean value, and the active request degree is represented by the ratio of the number of active request updates to the number of subscription updates; The fusion is carried out by multiplication. The product of the mean value of the reciprocals of all the sending sequence numbers of the subscription updates sent by the sender to the receiver and the ratio of the number of active request updates to the number of subscription updates is linearly normalized, and the normalized result is used as the association strength between the sender and the receiver.

[0033] The linear normalization is the normalization in the corresponding data dimension. The normalization methods adopted in the embodiments of the present invention can all adopt this method, which is a technical means well-known to those skilled in the art and will not be elaborated here.

[0034] After obtaining the association strength representing the transmission priority degree, the sending order of the subscription service of each control center can be adjusted based on the association strength, so that the limited transmission resources are preferentially provided to the control center with a higher association strength and a higher transmission priority, improving the data sharing efficiency of the model subscription service.

[0035] Preferably, in an embodiment of the present invention, based on the association strength between the control center as the sender and all the corresponding receivers, the sending is carried out in descending order, and the greater the association strength, the earlier the sending order.

[0036] It should be noted that the association strength between the sender and the receiver may be different with the change of the send-receive relationship. For example, the association strength of A sending to B receiving is 0.8, and the association strength of B sending to A receiving is 0.7; in the model subscription service, a sender may have multiple receivers, and the data is shared with multiple control centers at the same time. When the control center of the sender needs to update and send data, it is ready to share the data with the subscribed control centers and send it in the adjusted order; the implementer can also set the update of the control center to a fixed update method such as 1 hour / time.

[0037] Step S3: Obtain the corresponding updated importance coefficient according to the fluctuations of the historical time-series data of all the acquisition terminals of each remote terminal; obtain the shared correlation coefficient according to the records of the active requests of the receiving party for each remote terminal of the sending party between two control centers without model subscription services, in combination with the corresponding updated importance coefficient; determine whether to perform data sharing according to the differences between the remote terminals involved in the active requests currently received by the control center and the remote terminals in the historical request records.

[0038] Considering that the data fluctuations of the acquisition terminals under different remote terminals are different, reflecting different amounts of data information provided when the remote terminals share data, so the corresponding updated importance coefficient is obtained according to the fluctuations of the historical time-series data of all the acquisition terminals of each remote terminal, which characterizes the importance degree of the remote terminal during data sharing and update, providing a basis for subsequent adjustment of the sharing priority order.

[0039] Preferably, in an embodiment of the present invention, the historical time-series data is segmented with a preset segment length first, which is convenient for more detailed analysis of the fluctuation characteristics of the time series; Considering that when the fluctuation characteristics of adjacent data segments of the time series change more greatly, the data fluctuation pattern changes faster, and the amount of information contained in the data of the acquisition terminal is more, and when these data are transmitted and shared subsequently, the importance degree is also higher; and considering that the greater the slope and range of each segment of data, the more violent the data fluctuation, so the fluctuation intensity coefficient is obtained according to the slope and range of each segment of data of the acquisition terminal, and the updated sub-coefficient of the corresponding acquisition terminal is obtained according to the difference of the fluctuation intensity coefficients of adjacent segments of data; Fuse the updated sub-coefficients of all the acquisition terminals of the remote terminal to obtain the corresponding updated importance coefficient.

[0040] As an example, the preset segment length is one day, the average value of the absolute values of the slopes of the points on the fluctuation curve corresponding to each segment of data is used as the slope of each segment of data, and the product of the slope and range of each segment of data is used as the fluctuation intensity coefficient, indicating the fluctuation intensity of a segment of data and reflecting the fluctuation characteristics of the data; The average value of the absolute values of the differences between the fluctuation intensity coefficients of all adjacent data segments of an acquisition terminal is used as the updated sub-coefficient of the corresponding acquisition terminal, indicating the change speed of the fluctuation pattern of adjacent data segments of the time series; Furthermore, the average value of all the updated sub-coefficients of all the acquisition terminals of the remote terminal is used as the updated importance coefficient.

[0041] It should be noted that considering that the types of the acquired data of different acquisition terminals are different, linear normalization preprocessing is performed on the acquired data in their respective dimensions.

[0042] Considering that the records of the receiver's active requests for each remote terminal of the sender contain the receiver's preference for the shared needs of different remote terminals of the sender, and the corresponding update importance coefficient reflects the importance degree of the remote terminal during data sharing update. Therefore, based on the records of the receiver's active requests for each remote terminal of the sender between two control centers without model subscription services, combined with the corresponding update importance coefficient, the shared correlation coefficient is obtained to quantify the association degree between the receiver and each remote terminal of the sender, providing a basis for adjusting the priority according to the remote terminals involved in real-time active requests in the future.

[0043] Preferably, in an embodiment of the present invention, considering that in the records of active requests, the more the number of requests for a certain remote terminal and the larger the update importance coefficient, the higher the degree of the receiver's active sharing request for the data of this remote terminal of the sender, and the greater the association degree; Based on this, between two control centers (without model subscription services), any remote terminal of the sender is used as the target terminal, and the proportion of the number of active requests of the receiver for the target terminal in the total number of active requests for all terminals of the sender is used as the association importance index; the association importance index and the update importance coefficient of the target terminal are fused to obtain the shared correlation coefficient corresponding to the receiver and the target terminal.

[0044] As an example, the fusion is performed by multiplication. After linearly normalizing the product of the association importance index and the update importance coefficient of the target terminal, it is used as the shared correlation coefficient of the receiver for the target terminal of the sender.

[0045] Considering that the active requests without model subscription services may be non-compliant, to ensure the effectiveness and compliance of active requests, the active requests also need to be verified; considering that the remote terminals recorded in the historical request records are the remote terminals that have shared data in the past, the difference between the remote terminals involved in the real-time active requests and the remote terminals in the historical request records reflects the degree of abnormal requests in the current active requests. Therefore, based on the difference between the remote terminals involved in the active requests currently received by the control center and the remote terminals in the historical request records, it is determined whether to perform data sharing.

[0046] Preferably, in an embodiment of the present invention, the historical request record is the record of being requested for each remote terminal in the historical active requests received by the sender control center from the receiver control center; Between two control centers (without model subscription services), all remote terminals involved in the active requests currently received by the sender form the first set; all remote terminals involved in the historical records of the receiver's focus requests related to the sender form the second set; Obtain the similarity coefficient of the first set and the second set. When the similarity coefficient is greater than the preset similarity threshold, it is determined that data sharing occurs between the corresponding two control centers.

[0047] Among them, the similarity coefficient reflects the difference between the remote terminals involved in the active requests currently received by the control center and the remote terminals in the historical request records. The smaller the similarity coefficient, the greater the difference, and the more likely it is an irregular abnormal application.

[0048] As an example, the Jaccard correlation coefficient of the first set and the second set is used as the similarity coefficient. The preset similarity threshold is 0.7.

[0049] It should be noted that in an embodiment of the present invention, when the similarity coefficient is less than or equal to the preset similarity threshold, it may further include: notifying the control center of the receiving party to contact the security department to re-determine whether the sharing request is compliant, and then performing data sharing after compliance; the Jaccard correlation coefficient is already in the prior art and will not be elaborated.

[0050] Step S4: When data sharing occurs, adjust the sending order according to the sharing correlation coefficient and quantity of the remote terminals involved in the active request between two control centers without model subscription services.

[0051] Considering that the control centers without model subscription services may have active requests with multiple control centers at the same time, and the sharing correlation coefficient and quantity of the remote terminals involved in the active requests reflect the degree of the receiving party's demand for the sending party's data sharing and the priority of the sending party's data sharing. Therefore, when data sharing occurs, adjust the sending order according to the sharing correlation coefficient and quantity of the remote terminals involved in the active request between two control centers without model subscription services to improve the sharing synchronization efficiency of the cross-level model.

[0052] Preferably, in an embodiment of the present invention, please refer to Figure 2 , which shows a flowchart of a method for adjusting the sending order in the case of no model subscription service provided by an embodiment of the present invention, specifically including: Step S401: When it is determined that data sharing occurs, combine the involved sending and receiving control centers into a binary group and put it into the shared pool to be sent.

[0053] In an embodiment of the present invention, in the case of no model subscription service, when there is an active request and it is determined that data sharing is required after judgment, sort once. For example, the receiving control center A may initiate a sharing request to the control centers of multiple senders (B, C, D, E). The request sent to E fails. Put the binary groups of B - A (sender - receiver), C - A, and D - A into the shared pool to be sent, and sort the transmission order of B, C, and D to A.

[0054] Step S402: Between the two control centers of the binary group, use the proportion of the remote terminals involved in the active request occupying all the remote terminals involved in the to-be-sent shared pool as the sharing priority coefficient; fuse the sharing correlation coefficient and the sharing priority coefficient corresponding to the remote terminals involved in the receiving party to obtain the sharing priority of the active requests of these two control centers.

[0055] Considering that when the active application sends data from the sending party to the receiving party within the binary group, the more the number of sending-party remote terminals involved, and the larger the sharing correlation coefficient corresponding to the remote terminals, it indicates that the degree of data sharing demand is higher and the transmission priority is higher. Therefore, the sharing priority of the active requests of these two control centers is obtained in this way.

[0056] As an example, the analysis process for each binary group is the same. Only one example is described here. Use the number of (sending-party) remote terminals involved in the binary group as the numerator, and use the number of all (sending-party) remote terminals involved in the to-be-sent shared pool as the denominator. The fractional ratio is used as the sharing priority coefficient; Use the product of the mean value of the sharing correlation coefficients corresponding to the (sending-party) remote terminals involved in the binary group (under the corresponding transmission relationship) and the sharing priority coefficient as the sharing priority of the active requests of the two control centers of the binary group.

[0057] With the number of all (sending-party) remote terminals involved in the to-be-sent shared pool as the benchmark, measure the number of sending-party remote terminals designed in the binary group, and use the average value to represent the overall characteristics of the sharing correlation coefficients of the involved remote terminals to obtain the sharing priority.

[0058] Step S403: Perform data sharing in the order from the largest to the smallest sharing priority.

[0059] Finally, perform data sharing in the to-be-sent shared pool in the order from the largest to the smallest sharing priority.

[0060] It should be noted that in other embodiments of the present invention, due to differences in power grid model settings, in the case where there is no model subscription service, it is possible that a sending party simultaneously receives active requests from multiple receiving parties. For example, after determination, F (sending party) needs to share data with G, H, and J (receiving parties). At this time, calculate the sharing priorities corresponding to F-G, F-H, and F-J, and sort the transmission order of F to G, H, and J.

[0061] It should be noted that when data sharing and transmission are carried out in descending order of sharing priority, in case of abnormal transmission such as the control center being occupied, the data to be transmitted in the next binary group is transmitted first. For example, the transmission order after sharing priority sorting is B-A, C-A, D-A. When attempting to transmit B-A, if B is occupied or drops the line (A sends 3 ICMP Ping requests to B, and B does not return Reply, with a waiting time of 1 second), at this time, C-A is transmitted first. After the transmission is completed, B-A is attempted again. If it still cannot be transmitted, D-A is transmitted first, and finally B-A is transmitted; after all the transmissible data is transmitted, the binary groups that still cannot be transmitted are reported.

[0062] An embodiment of the present invention further provides a power grid model information data sharing system, which includes a memory, a processor, and a computer program. The memory is used to store the corresponding computer program, and the processor is used to run the corresponding computer program. When the computer program runs in the processor, it can implement a power grid model information data sharing method described in steps S1-S4.

[0063] In summary, in view of the technical problem that the sharing synchronization efficiency is relatively low due to the unregulated sharing of power grid model information data without priority, the present invention proposes a power grid model information data sharing method and system. The present invention obtains various historical data of the control center; further adjusts the sending order of the subscription services of each control center according to the sequence number of each sending between two control centers with model subscription services, combined with the degree of active request; further obtains the corresponding update importance coefficient according to the fluctuation of the historical time-series data of all the acquisition ends of each remote terminal; further obtains the sharing correlation coefficient according to the record of the active request of the receiving party for each remote terminal of the sending party in the case where there is no model subscription service, combined with the corresponding update importance coefficient; further determines whether to perform data sharing according to the difference between the remote terminals involved in the current receiving application of the control center and the historical request record; when performing data sharing, adjusts the sending order according to the sharing correlation coefficient and quantity of the remote terminals involved in the active request.

[0064] It should be noted that: the above sequence of the embodiments of the present invention is only for description and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0065] Each embodiment in this specification is described in a progressive manner. The same or similar parts between each embodiment can be referred to each other, and the key points of each embodiment are the differences from other embodiments.

Claims

1. A method for sharing power grid model information data, characterized in that The method includes: Obtaining the historical time-series data of all the acquisition terminals of each remote terminal in the control center; obtaining the historical data of the model subscription service and the active requests between the control centers. According to the sequence numbers of each transmission between two control centers with a model subscription service, and combining with the degree of active requests, obtaining the association strength between the control centers; adjusting the transmission order of the subscription services of each control center based on the association strength. According to the fluctuations of the historical time-series data of all the acquisition terminals of each remote terminal, obtaining the corresponding update importance coefficient; according to the records of the active requests of the receiving party for each remote terminal of the sending party between two control centers without a model subscription service, and combining with the corresponding update importance coefficient, obtaining the shared association coefficient; judging whether to perform data sharing according to the difference between the remote terminals involved in the active requests currently received by the control center and the remote terminals in the historical request records. When performing data sharing, adjusting the transmission order according to the shared association coefficient and quantity of the remote terminals involved in the active requests between two control centers without a model subscription service.

2. The method for sharing power grid model information data according to claim 1, characterized in that The method for obtaining the association strength includes: Between two control centers, fusing the mean of the reciprocals of the sequence numbers of all subscription updates sent by the sending party to the receiving party, and the ratio of the number of active request updates to the number of subscription updates, to obtain the association strength between the sending party and the receiving party.

3. A method for sharing power grid model information data according to claim 1, characterized in that, The method for obtaining the update importance coefficient includes: Segmenting the historical time-series data with a preset segment length; obtaining the fluctuation intensity coefficient according to the slope and range of each segment of data of the acquisition terminal, and obtaining the corresponding update sub-coefficient according to the difference in the fluctuation intensity coefficients of adjacent segments of data. Fusing the update sub-coefficients of all the acquisition terminals of the remote terminal to obtain the corresponding update importance coefficient.

4. A method for sharing power grid model information data according to claim 1, characterized in that The method for obtaining the shared association coefficient includes: Between two control centers, taking any remote terminal of the sending party as the target terminal, and taking the proportion of the number of active requests of the receiving party for the target terminal in the total number of active requests for all terminals of the sending party as the association importance index; fusing the association importance index and the update importance coefficient of the target terminal to obtain the shared association coefficient corresponding to the receiving party and the target terminal.

5. A method for sharing power grid model information data according to claim 1, characterized in that The method for judging whether to perform data sharing includes: Between two control centers, forming a first set with all the remote terminals involved in the active requests currently received by the sending party; forming a second set with all the remote terminals involved in the historical records of the receiving party's focused requests for the sending party. Obtaining the similarity degree coefficient between the first set and the second set, and when the similarity degree coefficient is greater than a preset similarity threshold, judging that data sharing is performed between the corresponding two control centers.

6. A method for sharing grid model information data according to claim 5, characterized in that The method for obtaining the similarity degree coefficient includes: Taking the Jaccard correlation coefficient between the first set and the second set as the similarity degree coefficient.

7. A method for sharing power grid model information data according to claim 1, characterized in that The method for adjusting the transmission order includes: When it is determined that data sharing is to be performed, the involved sending and receiving control centers are combined into a binary tuple and placed in the shared pool to be sent. Between the two control centers of the binary tuple, the proportion of the remote terminals involved in the active request occupying all the remote terminals involved in the shared pool to be sent is used as the sharing priority coefficient; the sharing correlation coefficient corresponding to the remote terminals involved in the receiving party is fused with the sharing priority coefficient to obtain the sharing priority of the active requests of these two control centers. Data sharing is performed based on the order of the sharing priorities from large to small.

8. A method for sharing power grid model information data according to claim 1, characterized in that, The method for obtaining the sending order of the subscription service includes: Based on the association strength between the control center as the sender and all the corresponding receivers, sending is performed in the order from large to small.

9. A method for sharing grid model information data according to claim 3, characterized in that The preset segmentation length is one day.

10. A power grid model information data sharing system, the system comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, the steps of the method for sharing power grid model information data according to any one of claims 1 to 9 are implemented.

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