[Objective] High renewable energy penetration exacerbates power-system stability challenges， particularly concerning frequency security and short-circuit current adequacy. Conventional cost-driven scheduling methods may violate these dynamic security limits. However， directly embedding detailed nonlinear security models into scheduling model is computationally prohibitive. This study addresses this gap by proposing a practical and tractable solution framework to ensure the dynamic security of power systems with high renewable energy penetration. [Methods] A rescheduling-based iterative framework is proposed that enforces dynamic security through simulation-guided constraint generation. This method first solves a conventional scheduling model. Subsequently， high-fidelity dynamic security assessments—including frequency-response analysis and short-circuit analysis—are performed on the resulting schedule. Upon detection of security violations， sensitivity-based linear security constraints are generated and incorporated into the scheduling optimization formulation. This process iterates until all dynamic security criteria are satisfied. [Results] Simulations on the HRP-38 test system demonstrate that the proposed approach converges efficiently to schedules that are both secure and economically competitive. It effectively eliminates dynamic security violations while incurring only a modest increase in operational cost， thereby validating its capability to maintain system security while preserving economic efficiency. [Conclusions] The framework presented in this study offers a practical and tractable pathway to reliability-aware scheduling in systems with high renewable penetration.