Direct current fault screening method based on GPU acceleration

Abstract

The invention discloses a direct current fault screening method based on GPU (Graphics Processing Unit) acceleration. The method comprises the following steps that a direct current power flow algorithm is optimized; a CPU (Central Processing Unit) reads electric network data, and calculates a node reactance matrix X0; a node voltage phase angle Theta<0> of a ground state electric network is calculated; electric network basic data is transmitted to the GPU; a GPU kernel function 1 calculates a node voltage phase angle Theta<1> when branch circuits are in an open circuit state; a GPU kernel function 2 calculates the active power of each branch circuit when the branch circuits are in an open circuit state; a branch circuit open circuit fault set S1 is screened out and is transmitted back to the CPU; a GPU kernel function 3 calculates a node voltage phase angle Theta<2> when a power generator is in an open circuit state; a GPU kernel function 4 calculates the active power of each branch circuit when the power generator is in the open circuit state; and a power generator fault set S2 is screened out and is transmitted back into the CPU. The direct current fault screening method based on GPU accelerationprovided by the invention has the advantages that the calculation efficiency is improved; and the problem of great time consumption of fault direct current screening in the static safety analysis of an electric power system is solved.

Description

technical field [0001] The invention belongs to the application field of high-performance computing in power systems, relates to power system fault screening, and in particular to a GPU-accelerated DC fault screening method. Background technique [0002] The GPU is a many-core parallel processor, which far exceeds the CPU in the number of processing units. Traditionally, the GPU is only responsible for graphics rendering, and most of the processing is handed over to the CPU. The current GPU has become a multi-core, multi-threaded, programmable processor with powerful computing capabilities and extremely high memory bandwidth. Under the general computing model, the GPU works as a coprocessor of the CPU, and completes high-performance computing through reasonable task allocation and decomposition. At present, GPU has been successfully used in medical imaging, computational fluid dynamics, environmental science, oil exploration and other fields. [0003] In the power system,...

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Problems solved by technology

For a power system with N components, in practical applications, using DC power flow to screen some ...

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