Abstract: In light of the continuous integration of wind power into the grid, we propose a multi-objective optimized control strategy for a hydro-wind pumped storage interconnected to microgrid to enhance the power supply quality and stability of its grid connection system. A fractional order PID (FOPID) control speed regulation system for pumped storage units was designed to improve unit performance. The cumulative duration of on-specification frequency multiplied by absolute error time, along with settling time (Ts), are employed as objective functions to establish a multi-objective optimization control model for the system. To solve this model, an improved competitive and cooperative swarm optimization algorithm (ICCSO) is introduced, and its significant advantages over conventional algorithms are clearly demonstrated through multi-objective standard test functions. Finally, simulation verification under two designed scenarios confirmed superiority of ICCSO. By substituting median solutions from Pareto sets into models for simulation, in the three phase short circuit fault recovery scenario on grid frequency response curves, the overshoot slightly increased by 4.78%, negative overshoot decreased by 49.33%, peak-to-peak value reduced by 17.10%, and settling time decreased by 28.73%;while under load disturbance scenarios although overshoot increased by 31.03%, other indicators significantly dropped including negative overshoot down by 38.55%, peak-to-peak value down by 20.54% and settling time down by 8.16%. These results robustly confirm that equipping pumped storage units with FOPID controlled speed regulation systems markedly enhance dynamic adjustment performance within microgrid operations, proving practical utility and effectiveness of the proposed optimized strategy. It provides a reference for the safe and stable operation of the power system that is continuously integrating a high proportion of new energy.