Scene reduction solving method suitable for high-dimensional large-scale scene

Abstract

The invention discloses a scene reduction solving method suitable for a high-dimensional large-scale scene. The method comprises the following steps: defining a scene reduction model; initializing a typical scene set; solving a transmission matrix, and obtaining discrete probability distribution; iteratively solving the typical scene set until the Wasserstein distance change is smaller than a certain threshold value or the number of iterations reaches the set number of times; and selecting a scene closest to the typical scene from the initial scenes to reconstruct a typical scene set, and applying the typical scene set and the discrete probability distribution thereof to a stochastic optimization problem of a power system. The method has the advantages that the obtained Wasserstein distance is small, the fitting precision is high, and the calculation efficiency is excellent. For a large-scale scene, the calculation efficiency is relatively high and the fitting precision is not lost.

Description

technical field [0001] The invention relates to the field of scene analysis in the uncertainty modeling of renewable energy output in power systems, and in particular to a scene reduction solution method suitable for high-dimensional large-scale scenes. Background technique [0002] The access of large-scale renewable energy has brought new challenges to the power system. Wind power and photovoltaic power generation have the characteristics of intermittent, fluctuating, random, etc., and the high penetration rate of renewable energy has increased the uncertainty of the power system. Scenario analysis is usually used to describe the uncertainty characteristics of renewable energy. The scenario-based probability prediction method can describe the uncertainty characteristics of renewable energy through certain discrete scenarios. The initial scenario set formed can be used in stochastic optimization. . However, too many scenarios will bring a huge amount of calculation to the ...

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Problems solved by technology

[0006] Hard clustering method / discrete scene reduction method: 0-1 programming method [an optimal scene reduction method based on Wasserstein distance and effectiveness index [J]. Chinese Journal of Electrical Engineering, 2019, 39(16): 4650 -4658+4968], this method is suitable for small and medium-scale scene reduction problems, and the calculation efficiency is low in the face of large-scale data

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