中国电机工程学报2026，Vol.46Issue(16)：5819-5833,中插11,16.DOI:10.13334/j.0258-8013.pcsee.250684
电力系统临界惯量需求的优化仿真协同评估方法
Optimization and Simulation Synergetic Approach for Power System Critical Inertia Requirement Assessment
摘要
Abstract
Inertia is the foundation for AC power systems frequency stability,making critical inertia requirement(CIR)assessment vital for low-inertia risk management in new-type power systems.To efficiently and accurately analyze the system inertia threshold,this article proposed a CIR assessment based on an optimization and simulation synergetic approach.First,by elaborating on the concept of feasible inertia points(FIP)and the characteristics of CIR,a decoupling-based optimization and simulation synergetic framework of CIR was constructed.The framework core integrates a FIP optimization searching model and a multi-machine frequency response simulation model,achieving transient frequency security verification through coordinated matching of inertia and frequency regulation.Then,two adaptive inertia-correction algorithms based on heuristic search and the Koopman operator are proposed respectively,enabling synergistic interaction between optimization and simulation models to achieve efficient proactive assessment of critical inertia requirements.Finally,the effectiveness and accuracy of the proposed method are verified with an actual regional power grid.关键词
惯量需求/惯量评估/惯量预警/频率安全/低惯量系统/电力电子化电力系统Key words
inertia requirement/inertia estimation/inertia alarming/frequency security/low-inertia system/electronic power system分类
信息技术与安全科学引用本文复制引用
王彦婷,文云峰,郑文伟,李鸿鑫..电力系统临界惯量需求的优化仿真协同评估方法[J].中国电机工程学报,2026,46(16):5819-5833,中插11,16.基金项目
国家自然科学基金项目(52077066) （52077066）
湖南省自然科学杰出青年基金项目(2024JJ2022). Project supported by National Natural Science Foundation of China(52077066) （2024JJ2022）
Hunan Provincial Natural Science Foundation for Distinguished Young Scholars(2024JJ2022). （2024JJ2022）
