Derivation of 4 degrees of freedom nonlinear wind turbine model using effective mass and stiffness for simulation of control algorithm

Abstract

As concern about limited energy is gradually growing and wind energy is regarded as one of the best solutions, research on the wind turbine system has been vigorously accomplished. The commercial tools to simulate the non-linear dynamic characteristics of the wind turbine system are various, but the tools take a significant amount of time to simulate the control algorithm and require many input variables. In this paper, the procedures to simulate and examine the controller of wind turbines at the initial design stage are proposed by a 4 degrees of freedom mathematical model of wind turbine, and methodology to make the turbine model is also proposed by effective mass and stiffness defined in the modal domain. The proposed method in this paper is simpler than other methods. The simulations by the three kinds of models for the 2-MW wind turbine are accomplished to discuss the simulation results: a 2 degrees of freedom wind turbine model without considering tower and blade behavior, a 4 degrees of freedom model considering tower and blade behavior modeled by mode shape function, and a 4 degrees of freedom model by the suggested method.

Preface to Special Topic: Selected Papers from the Asia-Pacific Forum on Renewable Energy 2012, Jeju Island, Korea, 2012

“…6 The paper selected in photovoltaics investigates the increases of CTM CR in c-Si photovoltaic modules. 7 The papers, representative of wind energy field, deliberate on a control algorithm by considering four degrees of freedom nonlinear wind turbine model, 8 computational analysis and experimental validation for a wind turbine blade design, 9 optimized counter-rotating wind turbine design using the BEMT method corrected by VLM, 10 a simple approach for the statistical distribution of residual strength in impacted sandwich structure, 11 assessment of annoyance index for wind turbine noise using a jury test with the implemented turbine noise, 12 and a prediction method for the H-Darrieus wind turbines. 13 Although these selected papers represent only modest advances toward overcoming major scientific problems, some of these approaches might be key factors in the success of future renewable energy advances.…”