基于并行计算的电力系统状态估计算法分析
Analysis of Power System State Estimation Algorithm Based on Parallel Computing
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作者信息
摘要
阐述通过引入OpenMP和CUDA并行计算编程模型和框架,能够充分利用多核处理器和GPU硬件资源,并行计算的电力系统状态估计算法大幅度提升计算速度,确保电网状态的评估准确度.
Abstract
This paper describes the introduction of OpenMP and CUDA parallel computing programming models and frameworks,which can fully utilize multi-core processors and GPU hardware resources.The parallel computing power system state estimation algorithm can significantly improve computing speed and ensure the accuracy of power grid state evaluation.
关键词
并行计算/编程模型/状态估计算法Key words
parallel computing/programming models/state estimation algorithms引用本文复制引用
出版年
2024
NETL
NSTL
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