电力系统临界惯量需求的优化仿真协同评估方法OA

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.