Load forecasting method for high voltage distribution substation adapted to integrated transmission and distribution network planning

Abstract

The invention discloses a load forecasting method of a high-voltage distribution network substation adapted to the integrated transmission and distribution network planning. At present, it is difficult for the distribution network forecasting method to adapt to the development of the whole city, and it is difficult to use a method to go through the transmission and distribution network load forecasting. The technical scheme of the invention comprises the following steps: combined with the characteristics of integrated planning of transmission and distribution network, high-voltage distributionnetwork load prediction method combining the Elman neural network model and spatial load forecasting method, the medium and long-term load forecasting of high voltage distribution network is carriedout from the historical load and spatial load forecasting, and the load calculation model based on grid development degree is introduced. The invention synthesizes the advantages of the long-term maximum load density data in the spatial planning, and dynamically introduces the measured data of the transformer substation over the years in the calculation sample to modify the grid development degree. After the grid development degree is predicted, the load of high-voltage distribution network is recalculated considering the change of power supply area division in the future.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to View More

AI Technical Summary

Benefits of technology

This technology helps predict future loads on an electric power system by breaking down into different parts like generating energy from fossil fuel or producing it locally at certain locations within specific areas around them. It also allows for accurate prediction over time based on factors such as current weather conditions that affect how much electrical generation capacity needs to be used during peak hours when there are no more needed resources compared to other times.

Problems solved by technology

This patents discusses different ways that can be used during power usage predictions by analyzing data from various sources such as weather or traffic conditions over an entire area. However, current techniques have limitations with regards to how they work well when applied across large areas where there may be multiple loads being generated simultaneously at any given point within each spot on the map.

Images