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아보칼릴 아메드(Ahmed G. Abo-Khalil),李東椿(Dong-Choon Lee) 대한전기학회 2006 전기학회논문지 B Vol.55 No.7
In this paper, a novel control algorithm to minimize the power loss of the induction generator for wind power generation system is presented. The proposed method is based on the flux level reduction, where the flux level is computed from the machine model for the optimum d-axis current of the generator. For the vector-controlled induction generator, the d-axis current controls the excitation level in order to minimize the generator loss while the q-axis current controls the generator torque, by which the speed of the induction generator is controlled according to the variation of the wind speed in order to produce the maximum output power. Wind turbine simulator has been implemented in laboratory to validate the theoretical development. The experimental results show that the loss minimization process is more effective at low wind speed and that the percent of power loss saving can approach to 25%. Experimental results are shown to verify the validity of the proposed scheme.
SVR을 이용한 AC/DC/AC PWM 컨버터의 직류링크 커패시턴스 추정
아보칼릴 아메드(Ahmed. G. Abo-Khalil),張正翼(Jeong-Ik Jang),李東椿(Dong-Choon Lee) 대한전기학회 2007 전기학회논문지 Vol.56 No.1
This paper proposes a new capacitance estimation scheme for a DC-link capacitor in a three-phase AC/DC/AC PWM converter. A controlled AC voltage with a lower frequency than the line frequency is injected into the DC-link voltage, which then causes AC power ripples at the DC side. By extracting the AC voltage and power components on the DC output side using digital filters, the capacitance can then be calculated using the Support Vector Regression (SVR). By training of SVR, a function which relates a given input (capacitor's power) and its corresponding output (capacitance value) can be derived. This function is used to predict outputs for given inputs that are not included in the training set. The proposed method does not require the information of DC-link current and can be simply implemented with only software and no additional hardware. Experimental results confirm that the estimation error is less than 0.16%.
朴烘克(Hong-Geuk Park),아보칼릴 아메드(Ahmed. G. Abo-Khalil),李東椿(Dong-Choon Lee) 대한전기학회 2008 전기학회논문지 Vol.57 No.4
This paper proposes design and implementation of wind turbine simulators which incorporate the turbine dynamic characteristics. At first, the turbine output characteristic in steady state is modelled as a function of wind speed and then dynamic characteristics are modelled such as pitch angle control, torsional vibration, tower shadow effect, wind shear effect, and inertia effect. In addition, a wind speed simulator is developed which can generate the real wind speed pattern. The wind turbine simulator is implemented with 3[㎾] M-G set (cage-type induction motor coupled with doubly-fed induction generator) at laboratory.