CN-121998676-A - Cloud sharing method and system for electric power marketing metering data

CN121998676ACN 121998676 ACN121998676 ACN 121998676ACN-121998676-A

Abstract

The invention discloses a cloud sharing method and a cloud sharing system for electric power marketing metering data, and relates to the technical field of electric power data sharing. The method comprises the steps of acquiring power metering operation time sequence data and power utilization response time sequence data of a plurality of areas in a set area, uploading the power metering operation time sequence data and the power utilization response time sequence data to the set cloud for storage, analyzing stable evolution characteristic values of corresponding areas based on the power metering operation time sequence data of each area in the set area, analyzing marketing coordination characteristic values of corresponding areas based on a pre-trained power utilization response evolution mapping model and combining the power utilization response time sequence data and the stable evolution characteristic values of each area.

Inventors

WEI GUITAO
LIU LIHAN
ZHU YAYUN
Ou Yanchen
LIAN YING

Assignees

国电南瑞南京控制系统有限公司
国电南瑞科技股份有限公司

Dates

Publication Date: 20260508
Application Date: 20260107

Claims (10)

1. The cloud sharing method for the electric power marketing metering data is characterized by comprising the following steps of: acquiring power metering operation time sequence data and power utilization response time sequence data of a plurality of areas in a set area, and uploading the power metering operation time sequence data and the power utilization response time sequence data to a set cloud for storage; analyzing the stable evolution characteristic value of each station area based on the power metering operation time sequence data of each station area in the set area; Based on a pre-trained electricity utilization response evolution mapping model, analyzing marketing coordination characteristic values of corresponding areas by combining electricity utilization response time sequence data and stable evolution characteristic values of each area in a set area; and carrying out marketing sharing processing on each area in the set area based on the marketing coordination characteristic value.
2. The cloud sharing method of power marketing metering data according to claim 1, wherein the power metering operation time sequence data comprises a voltage fluctuation value, a platform line loss value, an energy flow synergy index, an energy feedback value, a voltage distortion index and a current distribution offset factor at each time point, and the specific steps of analyzing the steady evolution characteristic value of each platform in a set area are as follows: analyzing the operation time sequence characteristic set of each station area based on the electric power metering operation time sequence data of each station area in the set area, wherein the operation time sequence characteristic set comprises a steady-state efficiency characteristic value and a load stability characteristic value of each time point; And analyzing the stable evolution characteristic value of each corresponding platform region based on the operation time sequence characteristic set of each platform region in the set region.
3. The cloud sharing method of power marketing metering data according to claim 2, wherein the specific step of analyzing the operation time sequence feature set of each platform area in the set area is as follows: analyzing steady-state performance characteristic values of corresponding time points of each platform region based on the voltage fluctuation value, the platform region line loss value, the energy flow synergy index and the energy feedback value of each time point of each platform region in the set region; and analyzing the characteristic value of the load stability characteristic value at the corresponding time point based on the voltage distortion index and the current distribution offset factor of each time point of each platform area in the set area.
4. The cloud sharing method of power marketing metering data according to claim 1, wherein the power utilization response time sequence data comprises a power utilization expenditure value, a power utilization load adaptation value, a power utilization income rate value and a power utilization structure activity value at each time point, and the power utilization response evolution mapping model comprises an input layer, a time sequence evolution layer, an associated fusion layer and an output layer.
5. The cloud sharing method of power marketing metering data according to claim 4, wherein the specific step of analyzing the marketing coordination characteristic value of each platform area in the set area is as follows: Based on a pre-trained electricity utilization response evolution mapping model, analyzing marketing evolution adaptation characteristic values of corresponding areas by combining electricity utilization response time sequence data of each area in a set area; And analyzing the marketing coordination characteristic value of the corresponding area based on the marketing evolution adaptation characteristic value and the steady evolution characteristic value of each area in the set area.
6. The cloud sharing method of power marketing metering data according to claim 5, wherein the specific steps of analyzing the marketing evolution adaptation feature value of each platform area in the set area are as follows: Inputting the electricity utilization response time sequence data of each platform region in the set region into a pre-trained electricity utilization response evolution mapping model, and analyzing the electricity utilization evolution response characteristic set of the corresponding platform region, wherein the electricity utilization evolution response characteristic set comprises a balance evolution cooperative characteristic value, a steady feedback characteristic value and an active cooperative response characteristic value; and analyzing marketing evolution adaptation characteristic values of the corresponding areas based on the electricity evolution response characteristic sets of each area in the set area.
7. The cloud sharing method of power marketing metering data according to claim 6, wherein the specific steps of analyzing the power evolution response feature set of each platform area in the set area are as follows: in an input layer of an electricity utilization response evolution mapping model, receiving electricity utilization response time sequence data of each platform area in a set area, and preprocessing; extracting time sequence response feature vectors of corresponding areas based on the preprocessed power utilization response time sequence data of each area in the set area at a time sequence evolution layer of the power utilization response evolution mapping model; extracting the power utilization mapping feature vector of each station area based on the time sequence response feature vector of each station area in the set area at the associated convergence layer of the power utilization response evolution mapping model; And outputting the power utilization evolution response characteristic set of each platform region based on the power utilization mapping characteristic vector of the corresponding platform region in the output layer of the power utilization response evolution mapping model.
8. The cloud sharing method of power marketing metering data according to claim 1, wherein a specific formula for calculating a marketing coordination characteristic value of a certain platform area in a set area is as follows: ; Wherein, the To set a marketing coordination characteristic value for a certain zone within an area, To set the stable evolution characteristic value of a certain area in the area, For a stable evolution scaling factor stored in a database, Adapting a characteristic value for the marketing evolution of a certain zone within a set area, For adapting the adjustment coefficients stored in the database, , The coefficients are adjusted for the differences stored in the database, For co-tuning coefficients stored in a database.
9. The cloud sharing method of power marketing metering data according to claim 1, wherein the specific steps of carrying out marketing sharing processing on each platform region in the set area based on the marketing coordination characteristic value are as follows: dividing the marketing coordination characteristic value of each platform area in the set area into a plurality of sharing groups in the set area; And a corresponding marketing service policy is adopted for each sharing group in the set area.
10. The cloud sharing system for electric power marketing metering data, which applies the cloud sharing method for electric power marketing metering data according to any one of claims 1 to 9, is characterized by comprising the following steps: The data acquisition and storage module is used for acquiring power metering operation time sequence data and power utilization response time sequence data of a plurality of areas in the set area, and uploading the data to the set cloud for storage; the stability and efficiency characteristic analysis module is used for analyzing the stability and efficiency evolution characteristic value of each platform area based on the electric power metering operation time sequence data of the corresponding platform area in the set area; The marketing response mapping module is used for analyzing the marketing coordination characteristic value of the corresponding platform area by combining the electricity response time sequence data and the stable and effective evolution characteristic value of each platform area in the set area based on the pre-trained electricity response evolution mapping model; and the marketing sharing feedback module is used for carrying out marketing sharing processing on each platform area in the set area based on the marketing coordination characteristic value.

Description

Cloud sharing method and system for electric power marketing metering data Technical Field The invention relates to the technical field of electric power data sharing, in particular to an electric power marketing metering data cloud sharing method and system. Background Along with the digital and intelligent development of the electric power marketing business, the number of electric energy metering devices in the distribution network is rapidly increased, the electric power metering data of the transformer area level and the electric power consumption behavior data of the users show the characteristics of high frequency and multiple dimensions, the existing data structure is scattered and weak in relevance, and the sharing and dynamic analysis of the transformer areas are difficult to realize. At present, although various metering acquisition and marketing analysis systems are built for power enterprises, most of the systems stay in unidirectional data reporting and static statistics stages, so that information of each link in marketing management is easy to crack, and particularly in the scene of load fluctuation, power abnormality or user behavior mutation, the operation difference among each station is difficult to identify in time in the prior art, so that marketing data sharing delay or decision deviation is caused. The prior art is as disclosed in the publication No.: the utility model discloses a electric power marketing metering data cloud sharing method based on a blockchain, which relates to the technical field of electric power data sharing and comprises a user side, an electric power marketing metering data automatic acquisition system, a blockchain system and a data storage system, wherein the user side can be provided with a plurality of the blockchain systems, the blockchain system comprises an encryption algorithm, a blockchain network, a blockchain node, a privacy data shielding module and an alarm module, the user side is connected with the electric power marketing metering data automatic acquisition system, the electric power marketing metering data automatic acquisition system is connected with the blockchain system, and the blockchain system is connected with the data storage system. According to the cloud sharing method for the electric power marketing metering data based on the blockchain, the electric power marketing metering data provided by different user ends are in different blockchain nodes, so that even if one blockchain node is destroyed and attacked, the other blockchain nodes are not influenced, and the running stability of the whole system is ensured. Based on the above scheme, the limitations of the prior art at least include the following problems that the prior art lacks evolution analysis aiming at a data time sequence change rule, so that the association relation between marketing data is weakened, unified features reflecting the overall operation evolution rule are difficult to form, and deep structure information for decision making is lacking, so that the internal association between the operation state of a platform region and the response behavior of a user is reflected, the dynamic change of the operation characteristic of each platform region and the response behavior of the user is difficult to be reflected, the problem that the marketing level lacks coordination easily, marketing decision-making is easy to be disconnected and the like is easily caused, and the intelligent coordination level of electric power marketing in a cloud environment is influenced. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a cloud sharing method and a cloud sharing system for electric power marketing metering data, which solve the problems that marketing data is weak in association and marketing decision imbalance is easy to cause due to lack of time sequence evolution analysis in the prior art. The power marketing metering data cloud sharing method comprises the following steps of obtaining power metering operation time sequence data and power utilization response time sequence data of a plurality of areas in a set area, uploading the power metering operation time sequence data and the power utilization response time sequence data to the set cloud for storage, analyzing stable evolution characteristic values of corresponding areas based on the power metering operation time sequence data of each area in the set area, analyzing marketing coordination characteristic values of corresponding areas based on a pre-trained power utilization response evolution mapping model, combining the power utilization response time sequence data and the stable evolution characteristic values of each area in the set area, and carrying out marketing sharing processing on each area in the set area based on the marketing coordination characteristic values. Further, the electric power metering operation time sequence data comprises a voltage fluctuation value, a pla