CN-122000872-A - Data processing method and system for power load prediction

CN122000872ACN 122000872 ACN122000872 ACN 122000872ACN-122000872-A

Abstract

The invention discloses a data processing method and a system for power load prediction, which relate to the technical field of power data processing and comprise the steps of carrying out state analysis processing on power load data to be processed, determining whether each branch of power equipment has overload operation or not, carrying out data analysis processing on the branch with the overload operation, and determining whether preferential electric equipment exists or not. According to the method, the state analysis is carried out on the power load data to be processed, the branch circuit with overload operation is determined, then the equipment type analysis is carried out on the branch circuit with overload operation, the priority electric equipment in the branch circuit with overload operation is determined, and finally the partial load of the branch circuit with overload operation is adjusted to the branch circuit with normal operation.

Inventors

DENG LIYUAN
WANG LINGZI
SHEN HAIBO
WANG HAOHUAI

Assignees

中国南方电网有限责任公司

Dates

Publication Date: 20260508
Application Date: 20260114

Claims (10)

1.A data processing method for power load prediction, comprising: acquiring power load data to be processed, performing state analysis processing on the power load data to be processed based on an intelligent analysis terminal, and determining whether overload operation exists in each branch of the power equipment; Based on the intelligent analysis terminal, carrying out data analysis processing on branches with overload operation, and determining whether preferential electric equipment exists; And carrying out energy balance allocation processing on each branch of the power equipment based on the intelligent analysis terminal, and determining a load adjustment scheme of each branch.
2. The method for predicting power load according to claim 1, wherein the step of obtaining the power load data to be processed, performing a state analysis process on the power load data to be processed based on the intelligent analysis terminal, and determining whether each branch of the power equipment has an overload operation specifically comprises the steps of: based on the intelligent analysis terminal, performing data reading processing on the database system to obtain power load data to be processed; based on the intelligent analysis terminal, carrying out secondary data reading processing on the database system by taking the serial number information of the power equipment as a characteristic, and obtaining an electrical layout of the power equipment; Based on the intelligent analysis terminal, carrying out information extraction processing on an electrical layout of the power equipment to acquire serial number information of each branch connected with the power equipment; Based on the intelligent analysis terminal, carrying out data classification processing on the power load data to be processed by taking the serial number information of each branch as a characteristic, and obtaining the power load data of each branch; based on the intelligent analysis terminal, carrying out state analysis processing on the power load data of each branch, and determining whether overload operation exists in each branch of the power equipment.
3. The data processing method for power load prediction according to claim 2, wherein the step of performing a state analysis process on the power load data of each branch based on the intelligent analysis terminal, and determining whether there is an overload operation of each branch of the power equipment specifically includes the steps of: Based on the intelligent analysis terminal, performing first classification processing on the power load data of each branch by taking the data date information as the characteristic, and obtaining the power load data of different dates of the branch; Based on the intelligent analysis terminal, carrying out secondary classification processing on the power load data of different dates of the branch circuit by taking the data hour information as the characteristic, and obtaining the power load data of different dates and different hours of the branch circuit; based on the intelligent analysis terminal, carrying out data comparison analysis processing on the power load data of the branch circuits with different dates and different hours, and determining whether each branch circuit of the power equipment has overload operation.
4. The data processing method for power load prediction according to claim 3, wherein the step of performing data comparison analysis processing on power load data of different days and different hours of the branches based on the intelligent analysis terminal, and determining whether overload operation exists in each branch of the power equipment specifically comprises the following steps: Based on the intelligent analysis terminal, carrying out data reading processing on the power load data of the branch circuit with different dates and different hours to obtain power energy output data of the branch circuit with different dates and different hours; based on the intelligent analysis terminal, judging and processing electric power energy output data of different dates and different hours of the branch circuit and setting an electric power energy consumption threshold value; If the power load data which is larger than or equal to the set power energy consumption threshold exists, verifying the power load data of the branch circuits with different dates and different hours based on the intelligent analysis terminal, and determining whether each branch circuit of the power equipment has overload operation; If no power load data greater than or equal to the set power energy consumption threshold exists, no overload operation exists for each branch of the power equipment.
5. The data processing method for power load prediction according to claim 4, wherein the verifying the power load data of the branches with different dates and different hours based on the intelligent analysis terminal, and determining whether each branch of the power equipment has overload operation specifically comprises the following steps: Based on the intelligent analysis terminal, counting the data hour characteristics of the power load data which are larger than or equal to the set power energy consumption threshold value, and determining the overload operation occurrence number of each branch in each hour; Based on the intelligent analysis terminal, judging and processing the overload operation occurrence number and the set occurrence number threshold value of each branch in each hour; if overload operation occurrence times larger than or equal to a set occurrence times threshold value exist, setting a power equipment branch circuit corresponding to the data as a branch circuit with overload operation based on an intelligent analysis terminal, and recording the moment when the overload operation occurs to the branch circuit; and if the overload operation occurrence number which is larger than or equal to the set occurrence number threshold value does not exist, each branch circuit of the power equipment does not exist overload operation.
6. The data processing method for power load prediction according to claim 5, wherein the step of performing data analysis processing on the branch circuit with overload operation based on the intelligent analysis terminal to determine whether there is a priority electric device specifically includes the following steps: based on the intelligent analysis terminal, carrying out data reading processing on power load data corresponding to the moment when overload operation occurs on the branch circuit, and acquiring information of each device consuming power energy; based on the intelligent analysis terminal, performing data reading processing on the database system to obtain an electric power energy priority distribution table; based on the intelligent analysis terminal, performing information matching processing on the electric power energy priority distribution table by taking information of each device consuming electric power energy as characteristics; If the equipment information of consumed electric energy does not exist in the electric energy priority distribution table, no priority electric equipment exists in the branch circuit with overload operation; If equipment information for consuming electric power energy exists in the electric power energy priority distribution table, priority electric equipment exists in the branch circuit with overload operation.
7. The data processing method for power load prediction according to claim 1, wherein the energy balance allocation process is performed on each branch of the power equipment based on the intelligent analysis terminal, and the load adjustment scheme of each branch is determined specifically includes the following steps: based on the intelligent analysis terminal, carrying out difference calculation processing on power load data corresponding to the moment when overload operation occurs on the branch circuit and a set power energy consumption threshold value, and obtaining power load data needing to be allocated; Based on the intelligent analysis terminal, carrying out data reading processing on power load data of the branch circuit, which does not have overload operation, corresponding to the moment when the overload operation of the branch circuit occurs, so as to acquire power energy consumption data of the branch circuit in normal operation; Based on the intelligent analysis terminal, carrying out data comparison analysis processing on the electric power load data to be allocated and the electric power energy consumption data of the normal operation branch circuits, and determining a load adjustment scheme of each branch circuit.
8. The data processing method for power load prediction according to claim 7, wherein the determining the load adjustment scheme of each branch circuit based on the data comparison analysis processing of the power load data to be allocated and the power energy consumption data of the normal operation branch circuit by the intelligent analysis terminal specifically comprises the following steps: Based on the intelligent analysis terminal, carrying out summation calculation processing on the electric power load data to be allocated and the electric power energy consumption data of the normal operation branch circuit to obtain the predicted electric power energy consumption data of the normal operation branch circuit; based on the intelligent analysis terminal, judging and processing the predicted power consumption data of the normal operation branch circuit and the set power consumption threshold value; If predicted power consumption data which is larger than or equal to the set power consumption threshold value exists, the branch corresponding to the predicted power consumption data cannot be used as an adjustment branch of a load corresponding to power load data to be allocated; If the predicted power consumption data which is larger than or equal to the set power consumption threshold value does not exist, based on the intelligent analysis terminal, data analysis processing is carried out on the predicted power consumption data of the normal operation branch circuit, and the branch circuit which can accept the adjustment load is determined.
9. The data processing method for power load prediction according to claim 8, wherein the data analysis processing is performed on the predicted power energy consumption data of the normal operation branch circuit based on the intelligent analysis terminal, and the determining of the branch circuit capable of accepting the adjustment load specifically includes the following steps: based on a minimum function, sequencing predicted power energy consumption data of a normal operation branch circuit to obtain an ordered set of the predicted power energy consumption data; based on the intelligent analysis terminal, carrying out data reading processing on the ordered set of the predicted power energy consumption data to obtain the minimum value of the predicted power energy consumption data; and setting the branch corresponding to the minimum value of the predicted power energy consumption data as a branch capable of receiving the adjustment load based on the intelligent analysis terminal.
10. A data processing system for power load prediction for implementing a data processing method for power load prediction as claimed in any one of claims 1 to 9, comprising: The intelligent analysis terminal is used for controlling each module to perform state analysis processing, data analysis processing and energy balance allocation processing on the power load data to be processed, determining a load adjustment scheme of each branch, and controlling each module to perform data transmission and information interaction; the system comprises a database system, a power source management system and a power source management system, wherein the database system is used for storing power load data to be processed, an electrical layout diagram of power equipment and a power source priority distribution table; The data classification module classifies the power load data of each branch by data date information and data hour information to obtain power load data of different dates and different hours of the branch; The first comparison and judgment module is used for judging and processing the power energy output data of the branch circuits with different dates and different hours and setting a power energy consumption threshold; The data verification module is used for verifying the power load data of the branch circuits with different dates and different hours and determining whether each branch circuit of the power equipment has overload operation or not; the information matching module is used for carrying out information matching processing on each piece of equipment information of consumed electric power energy according to the electric power energy priority distribution table and determining whether preferential electric equipment exists in the branch circuit of overload operation; The data calculation module is used for carrying out summation calculation processing on the electric power load data to be allocated and the electric power energy consumption data of the normal operation branch circuit to obtain the predicted electric power energy consumption data of the normal operation branch circuit; The second comparison judging module is used for judging and processing the predicted power energy consumption data of the normal operation branch circuit and the set power energy consumption threshold value, and determining the branch circuit capable of receiving the adjustment load.

Description

Data processing method and system for power load prediction Technical Field The invention relates to the technical field of power data processing, in particular to a data processing method and system for power load prediction. Background The power data refers to massive, diversified and high-value data generated in the links of power production, transmission, distribution, use and the like, and covers the whole processes of power generation, power transmission, transformation, power distribution, power consumption and scheduling. Along with the wide application of smart grid construction and internet of things technology, power data has become a core element of digital transformation of the driving energy industry. The power equipment can carry the electric power energy to different branch roads, and the quantity of the equipment that different branch roads inserted is different, and the load of branch road will be different, if the equipment that the branch road connects is too much, then can make the overload operation of branch road, and then can reduce the life of branch road. Disclosure of Invention In order to solve the technical problems, the technical scheme provides a data processing method and a system for power load prediction, which solve the problems that power equipment provided in the background art can transmit power energy to different branch circuits, the number of equipment connected by the different branch circuits is different, the loads of the branch circuits are different, if the equipment connected by the branch circuits is too much, the branch circuits can be overloaded to operate, and the service life of the branch circuits can be further reduced. In order to achieve the above purpose, the invention adopts the following technical scheme: A data processing method for power load prediction, comprising: acquiring power load data to be processed, performing state analysis processing on the power load data to be processed based on an intelligent analysis terminal, and determining whether overload operation exists in each branch of the power equipment; Based on the intelligent analysis terminal, carrying out data analysis processing on branches with overload operation, and determining whether preferential electric equipment exists; And carrying out energy balance allocation processing on each branch of the power equipment based on the intelligent analysis terminal, and determining a load adjustment scheme of each branch. Preferably, the acquiring the power load data to be processed, performing a state analysis processing on the power load data to be processed based on the intelligent analysis terminal, and determining whether each branch of the power equipment has overload operation specifically includes the following steps: based on the intelligent analysis terminal, performing data reading processing on the database system to obtain power load data to be processed; based on the intelligent analysis terminal, carrying out secondary data reading processing on the database system by taking the serial number information of the power equipment as a characteristic, and obtaining an electrical layout of the power equipment; Based on the intelligent analysis terminal, carrying out information extraction processing on an electrical layout of the power equipment to acquire serial number information of each branch connected with the power equipment; Based on the intelligent analysis terminal, carrying out data classification processing on the power load data to be processed by taking the serial number information of each branch as a characteristic, and obtaining the power load data of each branch; based on the intelligent analysis terminal, carrying out state analysis processing on the power load data of each branch, and determining whether overload operation exists in each branch of the power equipment. Preferably, the step of performing a state analysis process on the power load data of each branch based on the intelligent analysis terminal, and determining whether each branch of the power equipment has overload operation specifically includes the following steps: Based on the intelligent analysis terminal, performing first classification processing on the power load data of each branch by taking the data date information as the characteristic, and obtaining the power load data of different dates of the branch; Based on the intelligent analysis terminal, carrying out secondary classification processing on the power load data of different dates of the branch circuit by taking the data hour information as the characteristic, and obtaining the power load data of different dates and different hours of the branch circuit; based on the intelligent analysis terminal, carrying out data comparison analysis processing on the power load data of the branch circuits with different dates and different hours, and determining whether each branch circuit of the power equipment has overload operation. Preferably