High wind power penetration increases dynamic coupling between wind turbine generators and synchronous machines, making coordinated tuning of wide-area damping controllers (WADCs) challenging. Under complex operating conditions, multiple WADCs may fail to suppress oscillations and may even deteriorate system damping. To address these issues, an intelligent WADC strategy for wind-integrated power systems is proposed. First, a coordinated control model with multiple doubly-fed induction generators (DFIGs) is established, and control loops are selected using a composite geometric index. A hybrid control framework is then developed by integrating principal component analysis (PCA) with the multi-agent deep deterministic policy gradient (MADDPG) algorithm to optimize parameters in high-dimensional state spaces. Finally, simulations on a modified two-area four-machine system and a wind-thermal sending-end system in Northwest China show that the proposed method significantly improves inter-area low frequency damping and maintains effective oscillation suppression performance and engineering adaptability under complex conditions.