Load prediction system applied to county-level power distribution network planning

Abstract

The invention discloses a load prediction system applied to county-level power distribution network planning, which comprises a server and a client, and is characterized in that the server comprises adata server, a real-time data acquisition module, a prediction data collection module and a data analysis and mining module; and the client comprises a real-time load monitoring module, a predictionload filling module, a prediction accuracy assessment module, an authority control module and a parameter control module. According to regional electric quantity coincidence, the system adopts a typical load prediction model to perform load prediction, is provided with a manual intervention interface, and browses and modifies a prediction result in a curve mode and a table mode. And the predicteddata is compared with the actual load data to calculate the prediction accuracy, so that load prediction related factors can be adjusted in subsequent prediction, and a more accurate prediction effectis expected to be achieved. Various kinds of analysis and statistics are carried out on prediction data and historical data by using a data mining thought, and various flexible reports can be provided for scheduling personnel.

Description

technical field [0001] The invention relates to the technical field of power grid planning, in particular to a load forecasting system applied to county-level distribution network planning. Background technique [0002] In recent years, society and power companies themselves have higher and higher requirements for power supply reliability, safety, power quality, power supply capacity, etc., which is in contradiction with the long-term neglect of county-level distribution networks, resulting in weak power grids and insufficient funds for transformation. One of the more effective ways to reduce this contradiction is to do a good job in county-level distribution network planning to avoid redundant construction and waste caused by planning and design. [0003] Load forecasting is to determine the load data at a specific time in the future based on many factors such as system operating characteristics, capacity increase decision-making, natural conditions and social influences, u...

AI Technical Summary

Problems solved by technology

[0004] The accuracy of power load forecasting in county-level distribution network is an important factor for the scientific and reasonable planning of distribution network. The calculation process of existing load forecasting methods is complicated, and manual calculation is prone to deviation. Moreover, with the progress of urbanization, the current Some load forecasting methods can no longer adapt to the rapid development of the county, the number of users and loads are increasing day by day, the distribution network is constantly extending and expanding, the distribution transformer is getting bigger and bigger, and the cross section of the wire is getting smaller and smaller

[0005] If the load cannot be accurately predicted, the problem that the power point deviates from the load center often occurs, which seriously affects the economic operation and power supply quality of the public distribution network.

The prediction method for the yearly increase of load is outdated, and the power grid planning cannot be adjusted in time according to the change of load to meet the electricity demand of economic development

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