电力系统保护与控制2026，Vol.54Issue(16)：178-187,10.DOI:10.19783/j.cnki.pspc.260237
核电厂电气全要素分核实时仿真研究
Research on real-time multi-core simulation of full-scale electrical systems in nuclear power plants
摘要
Abstract
The electrical systems of nuclear power plants are characterized by densely interconnected nodes and short-distance network topologies.The stability of conventional model partitioning based on the ideal transformer method(ITM)is constrained by the interface impedance ratio,making it inadequate for real-time multi-core simulation of full-scale electrical systems.To address this issue,a model partitioning method combining the constant calibration method(CCM)and the linkage network(LN)is proposed.First,the instability mechanism of ITM is analyzed.By introducing coordinate transformation and a variation-threshold mechanism,data exchange is transformed from a time-driven to an event-driven paradigm,thereby eliminating the dependence of stability on the impedance ratio.Second,synchronization matrices and vector synchronization matrices are constructed to achieve dynamic control of the synchronization range for multi-core concurrent disturbances and accurate tracking of events.Simulation results on a typical nuclear power plant electrical system demonstrate that the proposed method maintains numerical stability under any impedance ratio,effectively reproduces the original system characteristics,and exhibits stronger stability and recovery capability than ITM under large fault disturbances.This method can serve as an effective solution for real-time multi-core simulation of short-distance,densely interconnected power networks in nuclear power plants.关键词
实时仿真/模型分割/理想变压器模型法/常量标定法/联动网络/事件触发同步/数值稳定性/核电厂电气系统Key words
real-time simulation/model partitioning/ideal transformer method(ITM)/constant calibration method(CCM)/linkage network(LN)/event-triggered synchronization/numerical stability/electrical system in nuclear power plants引用本文复制引用
夏义捷,杨松,张雅飞,陈卓,熊国江,郝正航..核电厂电气全要素分核实时仿真研究[J].电力系统保护与控制,2026,54(16):178-187,10.基金项目
This work is supported by the National Natural Science Foundation of China(No.52167007). 国家自然科学基金项目资助(52167007) （No.52167007）
