Load identification of a 2.5 MW wind turbine tower using Kalman filtering techniques and BDS data

Load-Aware Operation Strategy for Wind Turbines Participating in the Joint Day-Ahead Energy and Reserve Market

“…The increased L is due to the increased control action that in turn effects the forces acting on different components of the wind turbine. This dataset establishes the relationship between Rm bid and the corresponding load variations, indicating a trend of load The next set of simulations are performed by the optimisation model ( 13)- (26), to evaluate the optimal market bids in order to balance the wind turbine loads and the WPP's revenue. The values of λ sp , λ cap , λ BU , λ BD and λ cp for revenue related calculations are = C 33, = C 34, = C 30, = C 35 and = C 45, respectively.…”

“…Loads on wind turbine blades are studied by using finite element analysis in [25]. Load identification of a wind turbine tower using Kalman filtering techniques is presented in [26]. Dynamic analysis of offshore wind turbine tower subjected to wind and wave loading is shown in [27].…”

An Electromagnetic Load Identification Method Based on the Polynomial Structure Selection Technique

“…Its accurate identifcation has become a hot research topic for promoting the motor performance due to its assistance for vibration prediction, structural design, and health monitoring [7][8][9]. However, the electromagnetic load coming from the air-gap eccentricity occurring during motor operation due to disturbances from external excitations is distributed dynamic load, and its identifcation (or reconstruction) is the second inverse problem in structural dynamic analysis [10], which is the process of reconstructing the loads applied on the structure with the structural dynamic model and structural response information [11][12][13][14]. Diferent from the concentrated dynamic load, the representation of the electromagnetic load requires variables in both the time domain and the space domain.…”