Distribution network load prediction device and method based on user installation and plot

Abstract

The invention discloses a distribution network load prediction device and method based on user installation and plot. The device comprises a prediction input module, a data storage module, a data extraction module, a screening processing module, a comparison calculation module, a prediction output module, and a result display module. The prediction input module is connected to the data storage module in a controlled mode, and the data storage module is connected to the data extraction module in a controlled mode. According to the invention, data is calculated and analyzed through the arranged comparison calculation module, the labor burden of workers is reduced, user installation data and plot control and regulation adjustment planning are combined, load prediction of a future power grid is carried out, data checking errors are avoided, and the prediction accuracy is improved; data are summarized and stored through the arranged data storage module, later calling and checking are facilitated, and meanwhile data loss is avoided; and the prediction result is combined with the plot area network through the arranged result display module, so that the prediction result is displayed more intuitively.

Description

technical field [0001] The invention relates to the technical field of grid forecasting, in particular to a distribution network load forecasting device and method based on user reports and plots. Background technique [0002] With the development of society and economy, the scale of the power grid continues to expand, and the load on the power grid continues to rise. The development of the power grid needs to consume a lot of resources and investment. Whether the planning is correct or not plays an extremely important role in the development of the subsequent power grid. It is of great practical significance to conduct research in order to maximize the quality of planning. The purpose of grid planning is to establish a grid structure that is safe, reliable, adaptable, and reasonably structured, and can meet the needs of urban and rural economic and social development and domestic electricity consumption. The first step to achieve this goal is to do a good job of load foreca...

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Problems solved by technology

[0002] With the development of society and economy, the scale of the power grid continues to expand, and the load on the power grid continues to rise. The development of the power grid needs to consume a lot of resources and investment. Whether the planning is correct or not plays an extremely important role in the development of the subsequent power grid. It is of great practical significance to conduct research in order to maximize the quality of planning. The purpose of grid planning is to establish a grid structure that is safe, reliable, adaptable, and reasonably structured, and can meet the needs of urban and rural economic and social development and domestic electricity consumption. The first step to achieve this goal is to do a good job of load forecasting. At present, the load forecasting of the power grid is simply obtained based on the maximum load of the equipment last year plus the reported capacity multiplied by the practical coefficient. By viewing the equipment objects in the dispatching automation system According to the calculation of the maximum load and the report and installation situation table, the existing forecasting method has a large workload of manual operation, and the data verification is prone to errors. The labor burden of personnel affects the accuracy of prediction; and the summary of data is mostly stored independently in the table of the substation, without centralized management and storage, it is not convenient to share and view, and there is a certain risk of loss; the existing prediction method only It can be demonstrated in the form of a table, but it cannot be clearly combined with the plot area network, and the forecast results cannot be displayed intuitively; therefore, it is necessary to design a distribution network load forecasting device and method based on user reports and plots

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