Data-driven power distribution network distributed new energy consumption capability assessment method

Abstract

The invention provides a data-driven power distribution network distributed new energy consumption capability assessment method. The method comprises the following steps: 1) recording data accumulated by actual production and operation of a power system; 2) establishing a maximum new energy consumption capability evaluation model of the power distribution network; 3) calculating a maximum new energy output value as a label set by solving the model, and further forming a complete data set; 4) establishing a graph convolutional neural network model for power distribution network consumption capability evaluation, processing the data set in the step 3), and training the deep network by using the data set; and 5) quantizing a to-be-solved power grid operation mode, quickly and accurately calculating a maximum new energy output value through the trained network, and further calculating to obtain an annual power distribution network new energy output duration curve and the maximum new energy consumption electric quantity of the system. Compared with a traditional time sequence simulation method, the method has the advantages that the calculation efficiency is improved, and application innovation and engineering practicability are achieved.

Description

technical field [0001] The invention belongs to the technical field of new energy consumption in power systems, and in particular relates to a data-driven distribution network distributed new energy consumption capacity evaluation method. Background technique [0002] With the development of society and economy, the problem of environmental pollution and the depletion of fossil fuels have become the two culprits that hinder the sustainable development of human beings. The development of clean and renewable new sources is one of the effective solutions to environmental problems and energy constraints, and it is also the only way for human society to achieve sustainable development. At this stage, new energy power generation has attracted much attention both at home and abroad. With the advancement of technology and the support of governments of various countries, the installed capacity of new energy power generation has ushered in rapid development in the past ten years. [...

AI Technical Summary

Problems solved by technology

It is relatively simple to use the constraint factor method to evaluate, but because only the influence of a certain constraint factor is considered, the results obtained by this assessment method are not general, and can only reflect the overall consumption capacity of the system, and cannot be used for regional power grids and nodes. Quantification of the absorbing capacity cannot fully reflect the absorbing capacity of new energy

[0004] The absorptive capacity evaluation method based on the Monte Carlo simulation method calculates the absorptive capacity of the simulated system under different operating conditions through a large number of samples. The overall modeling calculation efficiency is low

There are also studies based on the convolution method to evaluate the consumption capacity. This method can achieve rapid evaluation, but the evaluation results can only reflect the overall consumption level of the system, and cannot fully evaluate the system’s consumption level.

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