The objective of this study is the simulation of the fuzzy control of a double-fed induction wind generator （DFIG） and oriented stator flux using MATLAB/S[MULINK. The system consists of a horizontal wind turbine, co...The objective of this study is the simulation of the fuzzy control of a double-fed induction wind generator （DFIG） and oriented stator flux using MATLAB/S[MULINK. The system consists of a horizontal wind turbine, coupled to a DFIG and driven by a feed consisting of two three＋phase PWM converters in double bridge in order to maximize the delivered power at different wind speeds. We used a traditional regulator and a fuzzy controller. A model of the wind speed and the wind turbine is presented followed by the modeling of double-fed asynchronous generator DFIG controlled by fuzzy logic is performed according to two scenarios： with and without MPPT.展开更多
The power system controllers normally have more than one parameter.The distinguishability analysis of the controller parameters is to identify whether the optimal set of the parameters of the controllers is unique.It ...The power system controllers normally have more than one parameter.The distinguishability analysis of the controller parameters is to identify whether the optimal set of the parameters of the controllers is unique.It is difficult to obtain the analytic relationship between the objective of the optimization and the controller parameters,which means that the analytical method is not suitable for the distinguishability analysis.Therefore,a trajectory sensitivity based numerical method for the distinguishability analysis of the controller parameters is proposed in this paper.The relationship between the distinguishability and the sensitivities of the parameters is built.The magnitudes of the sensitivities are used to identify the key parameters,while the phase angles of the sensitivities are used to analyze the distinguishability of the key parameters.The distinguishability of the controller parameters of wind turbine with DFIG is studied using the proposed method,and dynamic simulations are performed to verify the results of the distinguishability analysis.展开更多
文摘The objective of this study is the simulation of the fuzzy control of a double-fed induction wind generator （DFIG） and oriented stator flux using MATLAB/S[MULINK. The system consists of a horizontal wind turbine, coupled to a DFIG and driven by a feed consisting of two three＋phase PWM converters in double bridge in order to maximize the delivered power at different wind speeds. We used a traditional regulator and a fuzzy controller. A model of the wind speed and the wind turbine is presented followed by the modeling of double-fed asynchronous generator DFIG controlled by fuzzy logic is performed according to two scenarios： with and without MPPT.
基金supported by the National Natural Science Foundation of China(Grant Nos.51137002,51190102)Natural Science Foundation of Jiangsu Province(Grant No.BK2011026)
文摘The power system controllers normally have more than one parameter.The distinguishability analysis of the controller parameters is to identify whether the optimal set of the parameters of the controllers is unique.It is difficult to obtain the analytic relationship between the objective of the optimization and the controller parameters,which means that the analytical method is not suitable for the distinguishability analysis.Therefore,a trajectory sensitivity based numerical method for the distinguishability analysis of the controller parameters is proposed in this paper.The relationship between the distinguishability and the sensitivities of the parameters is built.The magnitudes of the sensitivities are used to identify the key parameters,while the phase angles of the sensitivities are used to analyze the distinguishability of the key parameters.The distinguishability of the controller parameters of wind turbine with DFIG is studied using the proposed method,and dynamic simulations are performed to verify the results of the distinguishability analysis.
