Province-city-county integration-based bus load prediction management system and method

Abstract

The present invention provides a province-city-county integration-based bus load prediction management system and method. The system comprises a bus data interface module used for acquiring, reading and reporting a bus load prediction result and the historical load data, obtaining the basic data to extend from a system level to a medium-low voltage bus level, and refining the inclusion mastery power grid load characteristics of the bus load nodes; a basic information management module used for managing the basic data of a plurality of time periods of the buses, detecting and correcting the basic data, and determining the influence of the system network topology structures, the historical load or relevant factors on the bus load; a bus load analysis and prediction module used for carrying out the regularity analysis on the bus load of a power grid according to the basic data, and predicting the bus load prediction result according to the basic information managed by the basic information management module; an examination module used for examining and evaluating the province-city-county integration-based bus load prediction management system. According to the present invention, the refined management of the power grid and the scientific and intensive electric power system scheduling can be realized.

Description

technical field [0001] The invention relates to the field of power systems, in particular to a bus load forecasting management system and method based on the integration of provinces, cities and counties. Background technique [0002] my country is vigorously promoting energy-saving power generation dispatching work. In order to improve the dispatching department's ability to control the large power grid, improve the energy-saving dispatching level of the entire power grid, realize scientific, intensive, and lean dispatching management of the power grid, and further implement the requirements of the national energy-saving and emission-reduction policy, it is urgent to change the existing extensive The dispatching operation mode should be improved, the scientific management should be strengthened, and the existing dispatching work should be continuously improved and perfected with the support of system innovation and new theories and methods. Accurate bus load forecasting is...

AI Technical Summary

Problems solved by technology

[0003] However, the bus load forecasting system in the prior art cannot obtain more accurate information on changes in power consumption patterns, resulting in the staff being unable to obtain relatively simple and strong regularity in load composition, and thus unable to find a more matching forecasting model. The prediction technology route based on the prediction algorithm library cannot play a better role, and its prediction accuracy cannot reach the expected height

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