Load forecasting management system based on electric power system

Abstract

The invention discloses a load forecasting management system based on an electric power system. The system includes a management module for managing basic information data, a load analysis module usedfor load correlation property analysis, a load forecasting module used for supporting multi-forecasting-mode comparative analysis and intelligent selection, a load forecasting assessment module usedfor counting and analyzing load forecasting accuracy rate, and a data exchange management module used for timing and time-limited reporting of dispatching forecasting data step by step. The system establishes a complete short-term load forecasting theoretical system and a well-designed short-term load forecasting strategy, establishes a complete short-term load forecasting method base, and provides an efficient load forecasting method.

Description

technical field [0001] The invention relates to the technical field of electric load forecasting, in particular to a load forecasting management system based on an electric power system. Background technique [0002] With the full development of energy-saving power generation dispatching, the refinement level of power grid dispatching operation has been continuously improved, which has greatly improved the power system's ability to predict the future power grid operation status and the ability to predict power load under the influence of various related factors. , there is an urgent need for a new generation of intelligent load forecasting algorithms and corresponding systems to ensure the safe and economical operation of the power system. [0003] Short-term load forecasting is of great significance to power system security and economic operation. First of all, power outages and regional power cuts are still the main problems affecting the normal production and life of the...

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Problems solved by technology

[0004] However, for a long time, whether it is theoretical research or practical application, there are many key problems in power grid short-term load forecasting that have not been resolved, which restricts the further improvement of load forecasting accuracy and the wide application of scientific power grid short-term load forecasting methods in practice. Mainly reflected in: (1) Lack of standardized, effective, and intelligent processing methods for related factors, which will affect the selection strategy of similar days; (2) Lack of in-depth research on the causes of forecast deviations, and no in-depth analysis of the impact of various related factors on load fluctuations and forecasting. (3) The forecasting strategy lacks intelligence and adaptability, and cannot cope with complex and changeable load characteristics; (4) The communication between the upper-level power grid and the lower-level power grid is not smooth, and information exchange channels Complexity and insufficient data standardization, resulting in disconnection between the forecasting process and results of the upper and lower power grids

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