A Fast Electromechanical Transient Simulation Algorithm for Power System Based on Data and Physics Driven Model

被引：0

作者：

Wang X. ^{[1
]}

Yang K. ^{[1
]}

Huang W. ^{[2
]}

Ma Y. ^{[1
]}

Geng G. ^{[1
]}

Jiang Q. ^{[1
]}

机构：

[1] College of Electrical Engineering, Zhejiang University, Zhejiang Province, Hangzhou

[2] China Southern Power Grid Digital Power Grid Group Co., Ltd., Guangdong Province, Guangzhou

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2024年 / 44卷 / 08期

基金：

中国国家自然科学基金;

关键词：

central processing unit-neural network processing unit (CPU-NPU) heterogeneous computing; convergence; data and physics driven; electromechanical transient; time-domain simulation;

D O I：

10.13334/j.0258-8013.pcsee.222922

中图分类号：

学科分类号：

摘要：

Data-driven modeling has changed the traditional modeling paradigm of generators, which makes traditional electromechanical transient time domain simulation methods fail to be directly applied to power system with new paradigm. Thus, an integrating data- and physics-driven time domain simulation (DPD-TDS) algorithm for electromechanical transient simulation is proposed. The state variables and nodal injection currents are calculated through data-driven model, and network equations are used to calculate nodal voltages. And a preprocessing matrix calculation method for convergence of DPD-TDS improvement is proposed. A central processing unit-neural network processing unit (CPU-NPU) heterogeneous computing architecture is designed to speed up simulation. Differential algebraic equations are solved in CPU and the forward inference of data-driven model is executed in NPU. In IEEE-39 and Polish-2383 systems, some or all generators are replaced by data-driven models for verification. The results show that the convergence, accuracy and calculation speed of the proposed algorithm are exceptionally impressive.. ©2024 Chin.Soc.for Elec.Eng.

引用

页码：2955 / 2964

页数：9

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