Electric power load forecasting system and forecasting method

Abstract

The invention belongs to the technical field of electric energy data processing of electric power systems, and particularly relates to an electric power load forecasting system and forecasting method. The electric power load forecasting system comprises an electric power load control unit, an electric energy collection unit, a power distribution network automatic service unit, an electric power marketing MIS service unit, a transformer substation protection center unit and an electric power dispatching center service unit, wherein the electric power load control unit is connected with the electric energy collection unit, the power distribution network automatic service unit, the electric power marketing MIS service unit, the transformer substation protection center unit and the electric power dispatching center service unit separately. The forecasting method is carried out by the steps of collecting information of electric power users by taking the names of power network lines as units, tracking and inquiring the information, carrying out calculation and analysis on the line load to obtain short-term load forecasting curves of each line of the power distribution network, and various forecasting indexes affecting the electric power load. According to the electric power load forecasting system and forecasting method, the reasons causing electric power load fluctuations can be tracked, and the external factors and influences can be evaluated and analyzed, so that monitoring and forecasting for electricity consumption can be realized.

Description

technical field [0001] The invention belongs to the technical field of power system electric energy data analysis, and in particular relates to a power load forecasting system and a forecasting method thereof. Background technique [0002] A large amount of marketing, metering, and power grid operation data are not well utilized. With the continuous development of computer information technology, various business systems (marketing management information system, metering automation system, scheduling EMS system) have accumulated a large amount of data resources. The system can collect and store a large amount of customer electricity information, including customer attributes, customer Load characteristics, power characteristics, etc., cannot be effectively applied, resulting in a waste of data resources. Refined power market analysis is a very complex system engineering, the amount of data involved is very large, the intelligent means of power market analysis is insufficien...

AI Technical Summary

Problems solved by technology

With the continuous changes in the market form, it is necessary to improve the level of refinement of market analysis, provide detailed analysis functions of micro-markets such as analysis of internal and external market factors, demand response, tracking and monitoring of electricity market activities, and market analysis and forecasting work Often rely on the internal data of the power system, ignoring the tracking and analysis of the impact on the external environment

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