Unmanned Aerial Vehicle (UAV) path planning optimizes trajectory for efficient target reach with minimal energy consumption. This study enhances the Target Interception method (TI), to address wind-related challenges. We introduce two adaptations: TI Dynamic Path and TI External Influences. Implementing these methods in a dynamic wind environment yields results demonstrating enhanced reliability and efficiency. This research marks a significant stride in developing more effective UAV path planning algorithms.