CN-121981435-A - Self-adaptive data analysis method, device and equipment for source charge storage and charge interaction

CN121981435ACN 121981435 ACN121981435 ACN 121981435ACN-121981435-A

Abstract

The invention provides a self-adaptive data analysis method, device and equipment for source charge storage and charging interaction, and relates to the technical field of power systems. The method comprises the steps of carrying out data analysis on real-time acquisition data of all acquisition terminals corresponding to each main body in a source load storage and charging system to obtain regulation and control requirements of each main body, determining sub-regulation and control requirements of each acquisition terminal of each main body and first data acquisition requirements, wherein the first data acquisition requirements comprise a plurality of data acquisition items and acquisition frequencies of each data acquisition item, adjusting the first data acquisition requirements of each acquisition terminal according to environmental data of the source load storage and charging system to obtain second data acquisition requirements, and correcting based on real-time operation data of each acquisition terminal to obtain third data acquisition requirements of each acquisition terminal. The invention can consider real-time supply and demand interaction, environment scene and the running state of the acquisition terminal, thereby ensuring that the third data acquisition requirement can adapt to different supply and demand states.

Inventors

WANG HONGXI
TAO PENG
LI FEI
Lv Yuntong
LI HONGWEI
HUO WEI
LIN JIYUN
JI MING
HAN QILIN

Assignees

国网河北省电力有限公司营销服务中心
国家电网有限公司

Dates

Publication Date: 20260505
Application Date: 20251223

Claims (10)

1. The self-adaptive data analysis method for the source charge storage and charging interaction is characterized by comprising the following steps of: Carrying out data analysis on real-time acquisition data of all acquisition terminals corresponding to each main body in the source charge storage and filling system to obtain the regulation and control requirements of each main body; Determining a sub-regulation requirement and a first data acquisition requirement of each acquisition terminal of each main body based on the regulation requirement of each main body, wherein the first data acquisition requirement comprises a plurality of data acquisition items and acquisition frequency of each data acquisition item; According to the environmental data of the source load storage and charging system, the first data acquisition requirement of each acquisition terminal of each main body is adjusted to obtain the second data acquisition requirement of each acquisition terminal; and correcting the second data acquisition requirement of each acquisition terminal based on the real-time operation data of each acquisition terminal to obtain the third data acquisition requirement of the acquisition terminal.
2. The adaptive data analysis method for source load storage and charging interaction according to claim 1, wherein the correcting the second data acquisition requirement of the acquisition terminal based on the real-time operation data of each acquisition terminal to obtain the third data acquisition requirement of the acquisition terminal comprises: for each acquisition terminal, the following steps are performed: Extracting communication state data of the acquisition terminal from real-time operation data of the acquisition terminal; determining an acquisition demand correction scheme of the acquisition terminal based on communication state data of the acquisition terminal, wherein the communication state data comprises communication bandwidth, data transmission rate and data packet loss rate; And correcting the second data acquisition requirement of the acquisition terminal according to the acquisition requirement correction scheme of the acquisition terminal to obtain a third data acquisition requirement of the acquisition terminal.
3. The adaptive data analysis method for source load storage interaction according to claim 2, wherein the determining the acquisition demand correction scheme of the acquisition terminal based on the communication state data of the acquisition terminal comprises: Calculating the ratio of the acquisition frequency and the data packet loss rate of each data acquisition item of the acquisition terminal, determining the acquisition frequency to be adjusted, and determining the difference value between the acquisition frequency to be adjusted and the acquisition frequency of each data acquisition item as a frequency adjustment amount; for each data acquisition item, calculating a difference value between the frequency adjustment quantity of the data acquisition item and the acquisition frequency of the data acquisition item, and determining the product of the difference value and the number of single data bytes of the data acquisition item as the bandwidth to be adjusted of the data acquisition item; Determining the difference value of the communication bandwidth and the data transmission rate of the acquisition terminal as the real-time bandwidth surplus of the acquisition terminal; And arranging each data acquisition item of the acquisition terminal according to the order of importance from high to low, and determining the first N data acquisition items and corresponding acquisition frequencies to be adjusted as the acquisition demand correction scheme, wherein the sum of bandwidths to be adjusted of the first N data acquisition items is smaller than the real-time bandwidth allowance, the sum of bandwidths to be adjusted of the first N+1 data acquisition items is not smaller than the real-time bandwidth allowance, and N is a positive integer.
4. The adaptive data analysis method for source charge storage and charging interaction according to claim 1, wherein the adjusting the first data acquisition requirement of the acquisition terminal of each main body according to the environmental data of the source charge storage and charging system to obtain the second data acquisition requirement of each acquisition terminal comprises: Extracting real-time values of each environmental factor from the environmental data of the source charge storage and filling system; determining a plurality of key environmental factors for each subject based on the subject characteristics of each subject; Based on the real-time value of each key environmental factor of each main body, the first data acquisition requirement of the acquisition terminal of each main body is adjusted, and the second data acquisition requirement of each acquisition terminal is obtained.
5. The adaptive data analysis method for source load storage and charging interaction according to claim 4, wherein the adjusting the first data acquisition requirement of the acquisition terminal of each main body based on the real-time value of each key environmental factor of each main body to obtain the second data acquisition requirement of each acquisition terminal comprises: For each subject, the following steps are performed: If the real-time value of each key environmental factor of the main body is in the corresponding normal value range, determining the first data acquisition requirement of each acquisition terminal of the main body as the second data acquisition requirement of each acquisition terminal of the main body; if the real-time value of any key environmental factor of the main body is not in the corresponding normal value range, determining the key environmental factor of which the real-time value is not in the corresponding normal value range as the abnormal environmental factor of the main body, and adjusting the first data acquisition requirement of each acquisition terminal of the main body based on the abnormal environmental factor of the main body to obtain the second data acquisition requirement of each acquisition terminal of the main body.
6. The adaptive data analysis method for source-oriented charge storage interaction according to claim 5, wherein the adjusting the first data acquisition requirement of each acquisition terminal of the main body based on the abnormal environmental factors of the main body to obtain the second data acquisition requirement of each acquisition terminal of the main body includes: performing the following steps for each abnormal environmental factor of the subject; Calculating the minimum difference value between the real-time value of the abnormal environmental factor and the preset normal value range, and determining the abnormal type and the abnormal grade of the abnormal environmental factor according to the corresponding abnormal type and the abnormal grade of the interval to which the minimum difference value belongs; Determining the abnormal type and the abnormal grade of the abnormal environmental factors, corresponding target data acquisition items and the target acquisition frequency of each target data acquisition item; adding a first target data acquisition item and a target acquisition frequency of the first target data acquisition item into a first data acquisition requirement of a first acquisition terminal, wherein the first acquisition terminal is any acquisition terminal of the main body, and the first acquisition terminal does not comprise the first target data acquisition item; Updating the acquisition frequency of the second target data acquisition item into the target acquisition frequency of the second target data acquisition item to obtain the second data acquisition requirement of the first acquisition terminal, wherein the first acquisition terminal comprises the second target data acquisition item, and the second target data acquisition item is any target data acquisition item.
7. The adaptive data analysis method for source charge storage and charging interaction according to claim 1, wherein the data analysis is performed on the real-time collected data of all the collection terminals corresponding to each main body in the source charge storage and charging system, so as to obtain the regulation and control requirements of each main body, and the method comprises the following steps: Based on a pre-trained power grid dispatching model, carrying out data analysis on real-time acquisition data of all acquisition terminals corresponding to each main body in a source charge storage and charging system to obtain a dispatching scheme of the source charge storage and charging system; And extracting the regulation and control requirements of each main body from the scheduling scheme of the source charge storage and filling system.
8. The adaptive data analysis method for source-oriented charge storage interaction according to claim 1, wherein determining the sub-regulation requirement and the first data acquisition requirement of each acquisition terminal of each subject based on the regulation requirement of each subject comprises: for each acquisition terminal, the following steps are performed: extracting the equipment regulation and control requirements of the corresponding power equipment of the acquisition terminal from the regulation and control requirements of the corresponding main body of the acquisition terminal; Determining a data acquisition item and a data acquisition frequency in equipment regulation and control requirements of each piece of corresponding electric equipment of the acquisition terminal as a first data acquisition requirement of the acquisition terminal; And determining the equipment regulation and control requirement of the corresponding power equipment of the acquisition terminal as the sub-regulation and control requirement of the acquisition terminal.
9. The utility model provides a self-adaptation data analysis device towards source lotus stores up and fills interdynamic which characterized in that includes: The analysis module is used for carrying out data analysis on the real-time acquisition data of all the acquisition terminals corresponding to each main body in the source load storage and charging system to obtain the regulation and control requirements of each main body; The system comprises a determining module, a first data acquisition module and a second data acquisition module, wherein the determining module is used for determining the sub-regulation and control requirement and the first data acquisition requirement of each acquisition terminal of each main body based on the regulation and control requirement of each main body, and the first data acquisition requirement comprises a plurality of data acquisition items and the acquisition frequency of each data acquisition item; The adjusting module is used for adjusting the first data acquisition requirement of the acquisition terminal of each main body according to the environmental data of the source load storage and charging system to obtain the second data acquisition requirement of each acquisition terminal; and the correction module is used for correcting the second data acquisition requirement of each acquisition terminal based on the real-time operation data of the acquisition terminal to obtain the third data acquisition requirement of the acquisition terminal.
10. An electronic device comprising a memory storing a computer program and a processor implementing the method of any one of claims 1 to 8 when the computer program is executed by the processor.

Description

Self-adaptive data analysis method, device and equipment for source charge storage and charge interaction Technical Field The invention relates to the technical field of power systems, in particular to a self-adaptive data analysis method, device and equipment for source charge storage and charging interaction. Background The source charge storage and charging system is used as a core component of the novel power system, can organically integrate a distributed power supply, a flexible load, an energy storage device and a charging facility, and realizes the collaborative optimization of energy production, storage, consumption and scheduling. The novel power generation system not only improves the new energy consumption capability and ensures the key support of safe and stable operation of the power grid, but also pushes the energy supply and demand interaction and constructs an important carrier of a novel power market. The data acquisition is used as a basis of system operation, key information such as operation states, energy flows and the like of all links are required to be accurately acquired, data support is provided for supply-demand interaction decisions, and timeliness and accuracy of system regulation are directly affected. The acquisition task of the existing source charge storage and charging system is determined, and data acquisition items such as voltage, current, power and residual electric quantity are cured in advance based on preset scenes, historical operation data or industry standard specifications, and the acquisition frequency of each data acquisition item is high. And the acquisition terminal determines data acquisition items and the acquisition frequency of each data acquisition item according to the set task, and continuously completes acquisition data and data analysis. However, the existing acquisition task is not fully associated with the dynamic change of the real-time supply and demand interaction scene, and data collection is completed only through a fixed mode, so that the data collection is difficult to adapt to the differentiated data requirements under different supply and demand states. Disclosure of Invention The embodiment of the invention provides a self-adaptive data analysis method, device and equipment for source charge storage and charge interaction, which are used for solving the problems that the existing acquisition task is not fully associated with the dynamic change of a real-time supply and demand interaction scene and is difficult to adapt to the differentiated data requirements under different supply and demand states. In a first aspect, an embodiment of the present invention provides a method for adaptively analyzing data for source-load storage and charging interaction, including: Carrying out data analysis on real-time acquisition data of all acquisition terminals corresponding to each main body in the source charge storage and filling system to obtain the regulation and control requirements of each main body; Determining a sub-regulation requirement and a first data acquisition requirement of each acquisition terminal of each main body based on the regulation requirement of each main body, wherein the first data acquisition requirement comprises a plurality of data acquisition items and acquisition frequency of each data acquisition item; According to the environmental data of the source load storage and charging system, the first data acquisition requirements of the acquisition terminals of each main body are adjusted, and the second data acquisition requirements of each acquisition terminal are obtained; and correcting the second data acquisition requirement of each acquisition terminal based on the real-time operation data of each acquisition terminal to obtain the third data acquisition requirement of the acquisition terminal. In a second aspect, an embodiment of the present invention provides an adaptive data analysis device facing source load storage and charging interaction, including: The analysis module is used for carrying out data analysis on the real-time acquisition data of all the acquisition terminals corresponding to each main body in the source load storage and charging system to obtain the regulation and control requirements of each main body; the system comprises a determining module, a first data acquisition module and a second data acquisition module, wherein the determining module is used for determining the sub-regulation and control requirement and the first data acquisition requirement of each acquisition terminal of each main body based on the regulation and control requirement of each main body, and the first data acquisition requirement comprises a plurality of data acquisition items and the acquisition frequency of each data acquisition item; The adjusting module is used for adjusting the first data acquisition requirement of the acquisition terminal of each main body according to the environmental data of the source load st