The P&O strategy can be integrated with other power system control and optimization frameworks to achieve a more holistic grid management approach. By combining the P&O strategy with advanced control techniques such as model predictive control (MPC) or reinforcement learning, the system can adaptively optimize the converter control parameters based on real-time grid conditions and performance objectives. Additionally, integrating the P&O strategy with grid-level optimization algorithms, such as optimal power flow (OPF) or energy management systems (EMS), enables a coordinated control of multiple converter-based generation units to maximize grid stability, efficiency, and reliability. By leveraging synergies between different control and optimization frameworks, the P&O strategy can contribute to a comprehensive and intelligent grid management system that optimizes dynamic ancillary services provision while ensuring grid stability and resilience.