Abstract: To address the issues of significant wake losses and high equipment fatigue loads caused by traditional decentralized yaw control, this paper takes a 200 MW offshore wind farm as a case study. A bi-objective optimal dispatch model is constructed under a centralized control environment, aiming to maximize power generation revenue while minimizing equipment degradation. The model is solved using an improved hybrid PSO-GSA intelligent algorithm, achieving coordinated optimization of the entire wind farm's yaw systems. Research results demonstrate that the proposed coordinated strategy effectively mitigates wake interference and reduces unnecessary yaw actions, significantly enhancing overall wind energy capture efficiency and lowering equipment maintenance costs.