Method for predicting short-term power load

Abstract

A method for predicting short-term power load comprises a data collecting and processing module, a predicting database module, a predicting execution module, and a management system module. The data collecting and processing module divides an electricity area according to geographical positions and electricity data in a power grid energy management system, integrates and processes load data of each part of the divided electricity area, transmits the processed load data into a database, and also transmits processed climate data into the database. The predicting execution module predicts the short-term load by using an intelligent calculation method. The management system module has the functions of choosing the methods for predicting the load, managing the data, analyzing predicting results, and setting the system, and the like. The method for predicting the short-term power load can accurately predict the short-term power load data. The humanized management system provides the basis for scheduling power generation plans and power transmission schemes of electricity management personnel, and for power grid planning and construction.

Description

technical field [0001] The invention relates to a power load forecasting method, in particular to a short-term power load forecasting method. Background technique [0002] Power load forecasting is an important part of the power system. Power load forecasting refers to the estimation of power load and electricity in the next few hours to several years. It is a part of the power system dispatching operation department, power service department and power grid planning department. It is an important daily work and is the main basis for formulating power generation plans, transmission schemes and grid construction. For the regional power grid, it provides high-precision daily load forecasting for the superior dispatcher, so that the superior dispatcher can reasonably arrange the spinning reserve and cold reserve capacity when formulating the power generation plan, reduce the number of unit start-up and stop, reduce the same-day transaction power, and meet the needs of users. Re...

AI Technical Summary

Problems solved by technology

[0003] The current power load forecasting system has a single function, no data decomposition, multi-directional forecasting function, no reasonable division of power consumption areas according to geographical location information and power consumption data, and separate forecasting functions. Limited by real-time grid security requirements, it can only be used in local dispatch It is used by load management personnel, but cannot be used by other departments; the man-machine interface is not ideal, etc.

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