Detailed Multi-Domain Modeling and Faster-Than-Real-Time Hardware Emulation of Small Modular Reactor for EMT Studies

被引:1
作者
Chen, Weiran [1 ]
Dinavahi, Venkata [1 ]
Lin, Ning [1 ]
机构
[1] Univ Alberta, Elect & Comp Engn, Edmonton, AB T6G 2V4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Mathematical models; Neutrons; Inductors; Real-time systems; Computational modeling; Coolants; Numerical models; Electromagnetic transients (EMT); faster than real time; field-programmable gate arrays (FPGAs); hardware-in-the-loop (HIL); integral pressurized water reactor (iPWR); multi-domain co-simulation; modular multi-level converter (MMC); real-time systems; small modular reactor (SMR); SYSTEM; PLANT;
D O I
10.1109/TEC.2024.3375256
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Small modular reactors (SMRs) are gaining significant attention as a promising solution to address the global energy demand and simulation is pivotal in expediting the construction of SMRs. However, the point-reactor neutron-kinetics equations of SMRs are strongly stiff nonlinear ordinary differential equations (ODEs), which poses a great difficulty for numerical computation of electromagnetic transients (EMT) of power systems coupled with SMRs. In this paper, a semi-analytical solution is proposed to streamline the comprehensive SMR mathematical model and reduce the model order from 25th to 18th. Additionally, the conglomeration of selected SMR-based EMT power system benchmark, which includes synchronous machines (SMs), modular multilevel converters (MMCs), power distribution networks, and varying loads, is described in detail and implemented on the Xilinx VCU 118 field-programmable gate array (FPGA) based hardware-in-the-loop (HIL) real-time transient emulation platform. The results demonstrate a significant improvement in computational speed and stability achieved by the proposed solution, which achieves a computational accuracy of IEEE 32-bit single-precision floating-point numbers, with a minimum calculation interval of 800 ns, resulting in a remarkable 12.5-fold acceleration in faster-than-real-time (FTRT) performance. This advancement greatly facilitates the simulation of intricate SMR-based models for EMT studies.
引用
收藏
页码:1644 / 1657
页数:14
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