The configuration of wind farms always shows a compromise between a minimal distance among wind turbines to increase the number of generators for a given area and a maximal distance among wind turbines to reduce the loss of production due to the wake interactions. A wind turbine extracts kinetic energy from the facing wind reducing the available energy for those in its wake. Moreover, the wake regions are sources of velocity gradient and turbulence production that lead to an increase of the loads on the wind turbine structures. One possible solution to these constraints is farm control by the implementation of strategies of misalignment or power curtailment. The present work focuses on the dynamic analysis of a modelled wind turbine wake during yaw manoeuvers. Indeed, in the context of wind farm control, misalignment of wind turbines is envisaged as a solution to reduce wind turbine wake interactions, by skewing the wake trajectory. To optimize the control strategies, the aerodynamic response of the wake to this type of yaw manoeuvers, as well as the global load response of the rotor disc of the downstream wind turbine, must be quantified. As a first approach, the identification of the overall system is performed through wind tunnel experiments, using a rotor model based on the actuator disc concept. A misalignment scenario of the upstream wind turbine model is imposed and the wind turbine wake deflection and load response are dynamically captured and measured by the use of Particle Imaging Velocimetry and a 6 degrees of freedom aerodynamic balance, respectively. Different scenarios of misalignment are tested at different wind speeds. Similar experiments are performed in two different wind tunnels with different scales and wind turbine spacing.