Fully GPU-based electromagnetic transient simulation considering large-scale control systems for system-level studies

As more generators and loads are integrated by power electronic converters with complicated controls, electromagnetic transients (EMTs) simulation becomes an important tool for studying dynamic characteristics of large-scale power systems. To accelerate system-level EMT simulations, a fine-grained p...

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Bibliographic Details
Published in:IET generation, transmission & distribution Vol. 11; no. 11; pp. 2840 - 2851
Main Authors: Song, Yankan, Chen, Ying, Huang, Shaowei, Xu, Yin, Yu, Zhitong, Marti, Jose R
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 03.08.2017
Subjects:
compute unified device architecture
directed graphs
distributed generators
distributed power generation
EMTP
fine‐grained parallel algorithm
FMA operations
fused multiply‐add operations
GPU‐based electromagnetic transient simulation
graphics processing units
large‐scale control systems
large‐scale power systems
layered direct acyclic graphs
LDAG
power distribution control
Research Article
single‐instruction‐multiple‐threads pattern
system‐level EMT simulations
unified GPU kernels
power distribution control
layered direct acyclic graphs
EMTP
large-scale control systems
distributed power generation
compute unified device architecture
fine-grained parallel algorithm
graphics processing units
FMA operations
single-instruction-multiple-threads pattern
fused multiply-add operations
directed graphs
GPU-based electromagnetic transient simulation
distributed generators
system-level EMT simulations
unified GPU kernels
LDAG
large-scale power systems
ISSN:1751-8687, 1751-8695
Online Access:Get full text
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Summary:As more generators and loads are integrated by power electronic converters with complicated controls, electromagnetic transients (EMTs) simulation becomes an important tool for studying dynamic characteristics of large-scale power systems. To accelerate system-level EMT simulations, a fine-grained parallel algorithm on graphics processing units (GPU) is proposed. By decomposing the computational models of the EMT simulation into heterogeneous, homogeneous and network solution computations, the simulations are mapped into three unified GPU kernels. To incorporate control signals and non-linear features of electrical components, heterogeneous computations are formulated as layered direct acyclic graphs (LDAG) of primitive operations. An LDAG kernel is designed to carry out theses primitive operations efficiently by grouped threads. Then, homogeneous computations for state updates of electrical components are modelled as sets of fused multiply-add (FMA) operations, which are concurrently processed by an FMA kernel. Moreover, a hybrid network solution kernel is designed to solve the network equations, which can adaptively select dense or sparse solvers. Large-scale test systems are created and simulated on an NVIDIA K20x GPU. The results show that the proposed GPU-based EMT simulations are accurate and achieve 10x speedups over the CPU-based ones.
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2016.2078