CN-122017307-A - Ammeter box, electricity load prediction method and computer readable storage medium

CN122017307ACN 122017307 ACN122017307 ACN 122017307ACN-122017307-A

Abstract

The application discloses an ammeter box, an electricity load prediction method and a computer readable storage medium, and relates to the technical field of ammeter boxes, wherein the ammeter box comprises a box body, a plurality of epitopes for installing an ammeter are arranged in the box body; the system comprises a plurality of acquisition modules, a main control module, a first power collection module, a second power collection module and a power load demand prediction module, wherein the acquisition modules are coupled on a line-in loop of each epitope in a one-to-one correspondence manner and used for acquiring real-time power of each epitope, the main control module is arranged in a box body and electrically connected with the acquisition modules and used for receiving the real-time power acquired by the acquisition modules, analyzing user power consumption rule information corresponding to each epitope according to a first real-time power collection of each epitope received in a preset time window, and predicting the power load demand value of each epitope in a future time window after the current moment according to the user power consumption rule information corresponding to each epitope and a second real-time power collection of each epitope received in the current time window.

Inventors

XIAO MINGZHI
CHEN WEIGANG
LI JIAN

Assignees

深圳市科陆电子科技股份有限公司
科陆国际技术有限公司

Dates

Publication Date: 20260512
Application Date: 20260415

Claims (9)

1. An electricity meter box, comprising: The box body is internally provided with a plurality of epitopes for installing the electric energy meter; The acquisition modules are coupled on the incoming line loops of the epitopes in a one-to-one correspondence manner and are used for acquiring real-time power of the epitopes; The main control module is arranged in the box body and electrically connected with each acquisition module and used for: Receiving the real-time power acquired by each acquisition module; Analyzing user electricity utilization rule information corresponding to each epitope according to a first real-time power set of each epitope received in a preset time window; predicting the power consumption load demand value of each epitope in a future time window after the current moment according to the user power consumption rule information corresponding to each epitope and the second real-time power set of each epitope received in the current time window; wherein, the collection module includes: the current sampling unit is coupled to a wire inlet loop of an epitope in the box body and is used for collecting load current on the wire inlet loop of the epitope; The input end of the metering unit is electrically connected with the current sampling unit, the output end of the metering unit is electrically connected with the main control module, and the metering unit is used for calculating real-time power of the epitope according to the load current and transmitting the calculated real-time power to the main control module.
2. The meter box of claim 1, wherein the meter box further comprises: The communication module is electrically connected with the main control module and is used for carrying out data exchange with a power grid main station and/or a power distribution station; the main control module is further used for sending the predicted electricity load demand value of each epitope and the received real-time power of each epitope to a power grid main station and/or a power distribution station area through the communication module.
3. A method for predicting electrical loads applied to an electricity meter box according to claim 1 or 2, said method comprising: Acquiring real-time power of each epitope in the ammeter box; Analyzing user electricity utilization rule information corresponding to each epitope according to a first real-time power set of each epitope acquired in a preset time window; predicting the power consumption load demand value of each epitope in a future time window after the current moment according to the user power consumption rule information corresponding to each epitope and the acquired second real-time power set of each epitope in the current time window; The step of obtaining the real-time power of each epitope in the ammeter box comprises the following steps: acquiring load current on a wire inlet circuit of each epitope; and calculating the real-time power of each epitope according to the load current of each epitope.
4. The method of claim 3, wherein the step of analyzing the user electricity usage rule information corresponding to each epitope according to the first real-time power set of each epitope acquired in the preset time window includes: For any epitope, generating a power curve of the epitope in the preset time window based on each real-time power in a first real-time power set of the epitope and the respective corresponding acquisition time of each real-time power; Analyzing the power curve to extract user electricity utilization rule information corresponding to the epitope, wherein the user electricity utilization rule information at least comprises daily load peak time, periodic fluctuation characteristics of the periodic load and seasonal electricity utilization trend.
5. The method according to claim 3 or 4, wherein before the step of analyzing the user electricity usage rule information corresponding to each epitope according to the first real-time power set of each epitope acquired in the preset time window, the method further comprises: Performing data cleaning processing on the first real-time power set of each epitope; and analyzing the user electricity utilization rule information corresponding to each epitope according to the first real-time power set of each epitope after data cleaning treatment.
6. The method of claim 3, wherein the step of predicting the electricity load demand value of each epitope in a future time window after the current moment according to the user electricity usage rule information corresponding to each epitope and the second real-time power set of each epitope acquired in the current time window comprises: And inputting the user electricity utilization rule information and the second real-time power set corresponding to each epitope into a pre-trained load prediction model to obtain an electricity utilization load demand value of each epitope in a future time window after the current moment.
7. The method according to claim 3 or 6, wherein the step of predicting the electricity load demand value of each epitope in a future time window after the current moment according to the user electricity usage rule information corresponding to each epitope and the second real-time power set of each epitope acquired in the current time window further comprises: Determining a time type characteristic of the future time window, wherein the time type characteristic at least comprises a date type and a daily load time period type, and the date type is a workday, a rest day or a holiday; according to the time type characteristics of the future time window, the weight of each piece of sub-information in the user electricity utilization rule information corresponding to each epitope is adjusted; And predicting the power consumption load demand value of each epitope in a future time window after the current moment according to the user power consumption rule information corresponding to each epitope after the weight is adjusted and the second real-time power set.
8. A method as claimed in claim 3, wherein the method further comprises: Monitoring whether abnormal fluctuation exists in the real-time power of each epitope; And under the condition that the real-time power of any epitope has abnormal fluctuation, generating abnormal fluctuation alarming prompt information, and sending the abnormal fluctuation alarming prompt information to a power grid master station and/or a power distribution station.
9. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the electrical load prediction method according to any of claims 3 to 8.

Description

Ammeter box, electricity load prediction method and computer readable storage medium Technical Field The application relates to the technical field of ammeter boxes, in particular to an ammeter box, an electricity load prediction method and a computer readable storage medium. Background The electricity meter box is the infrastructure of the grid connection end user. Currently, the main functions of the multi-meter box (such as the centralized residential area meter box) which is widely used are concentrated on electric energy metering and overload protection, and the multi-meter box is a passive electric connection device in nature. With the development of smart power grids, higher requirements are put forward on the fine management and load prediction of the power distribution network. At present, load prediction is mostly dependent on total data of a platform region or historical big data analysis of a master station system, and fine perception of real-time electricity utilization behavior of each independent epitope (namely a single user) at the tail end cannot be realized, so that a power grid dispatching center is difficult to accurately capture electricity utilization habit changes of microscopic users, the prediction accuracy of electricity utilization load is poor, and therefore the generated energy is not matched with electricity utilization requirements, the running stability of a power grid is influenced, and the waste of electric energy resources is caused. Disclosure of Invention The application mainly aims to provide an ammeter box, an electricity load prediction method and a computer readable storage medium, aiming at improving the prediction accuracy of the electricity load so as to ensure the running stability of a power grid and avoid the waste of electric energy resources to a certain extent. The application provides an ammeter box, comprising: The box body is internally provided with a plurality of epitopes for installing the electric energy meter; The acquisition modules are coupled on the incoming line loops of the epitopes in a one-to-one correspondence manner and are used for acquiring real-time power of the epitopes; The main control module is arranged in the box body and electrically connected with each acquisition module and used for: Receiving the real-time power acquired by each acquisition module; Analyzing user electricity utilization rule information corresponding to each epitope according to a first real-time power set of each epitope received in a preset time window; predicting the power consumption load demand value of each epitope in a future time window after the current moment according to the user power consumption rule information corresponding to each epitope and the second real-time power set of each epitope received in the current time window; wherein, the collection module includes: the current sampling unit is coupled to a wire inlet loop of an epitope in the box body and is used for collecting load current on the wire inlet loop of the epitope; The input end of the metering unit is electrically connected with the current sampling unit, the output end of the metering unit is electrically connected with the main control module, and the metering unit is used for calculating real-time power of the epitope according to the load current and transmitting the calculated real-time power to the main control module. In an embodiment, the electricity meter box further comprises: The communication module is electrically connected with the main control module and is used for carrying out data exchange with a power grid main station and/or a power distribution station; the main control module is further used for sending the predicted electricity load demand value of each epitope and the received real-time power of each epitope to a power grid main station and/or a power distribution station area through the communication module. In addition, to achieve the above object, the present application also provides a method for predicting an electric load, which is applied to the electric meter box as described above, the method comprising: Acquiring real-time power of each epitope in the ammeter box; Analyzing user electricity utilization rule information corresponding to each epitope according to a first real-time power set of each epitope acquired in a preset time window; predicting the power consumption load demand value of each epitope in a future time window after the current moment according to the user power consumption rule information corresponding to each epitope and the acquired second real-time power set of each epitope in the current time window; The step of obtaining the real-time power of each epitope in the ammeter box comprises the following steps: acquiring load current on a wire inlet circuit of each epitope; and calculating the real-time power of each epitope according to the load current of each epitope. In an embodiment, the step of analyzing the user electricit