• 풍력에너지저널
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• 제3권2호
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• pp.34-41
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• 2012

The paper is focusing on investigating the control characteristics of the baseline controller of 5 MW wind turbine provided by NREL(National Renewable Energy Laboratory). The baseline controller consist of two control logics, a maximum power tracking control below the rated wind speed and a constant power control above the rated wind speed. In the low wind speed, the mean generator power for changing the turbulent intensity and the optimal constant is studied through numerical simulations using FAST program. On the other hand, the constant power control logic and the constant control logic are compared in the high wind speed. It is confirmed that optimal constant is closely related to the turbulent intensity in low wind speed region and the constant torque control has better performance than the constant power control with respect to mechanical load in high wind speed region.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 하계학술대회 논문집 B
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• pp.1358-1360
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• 2002

This paper presents a modeling and simulation of a utility-connected wind energy conversion system with a link of a rectifier and an inverter. It discusses the maximum power control algorithm for the wind turbine and presents the relationship of wind turbine output, rotor speed, power coefficient, tip-speed ratio and wind speed when the wind turbine is operated under the maximum power control algorithm. The control objective is to extract maximum power from wind and transfer the power to the utility. This is achieved by controlling the pitch angle of the wind turbine blades. Pitch control method is mechanically complicated, but the control performance is better than that of the stall regulation method. The simulation results performed on MATLAB will show the variation of generator's rotor speed, pitch angle, and generator output.

• Wind and Structures
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• 제26권3호
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• pp.129-146
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• 2018

Extreme wind speed analysis has been carried out conventionally by assuming the extreme series data is stationary. However, time-varying trends of the extreme wind speed series could be detected at many surface meteorological stations in China. Two main reasons, exposure change and climate change, were provided to explain the temporal trends of daily maximum wind speed and annual maximum wind speed series data, recorded at Hangzhou (China) meteorological station. After making a correction on wind speed series for time varying exposure, it is necessary to perform non-stationary statistical modeling on the corrected extreme wind speed data series in addition to the classical extreme value analysis. The generalized extreme value (GEV) distribution with time-dependent location and scale parameters was selected as a non-stationary model to describe the corrected extreme wind speed series. The obtained non-stationary extreme value models were then used to estimate the non-stationary extreme wind speed quantiles with various mean recurrence intervals (MRIs) considering changing climate, and compared to the corresponding stationary ones with various MRIs for the Hangzhou area in China. The results indicate that the non-stationary property or dependence of extreme wind speed data should be carefully evaluated and reflected in the determination of design wind speeds.

• Journal of Electrical Engineering and Technology
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• 제12권6호
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• pp.2268-2277
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• 2017

As constantly increasing wind power penetrates power grid, wind power plants (WPPs) are exerting a direct influence on the traditional power system. Most of WPPs are using variable speed constant frequency (VSCF) wind turbines equipped with doubly fed induction generators (DFIGs) due to their high efficiency over other wind turbine generators (WTGs). Therefore, the analysis of DFIG has attracted considerable attention. Precisely measuring optimum reference speed is basis of utilized maximum wind power in electric power generation. If the measurement of wind speed can be easily taken, the reference of rotation speed can be easily calculated by known system's parameters. However, considering the varying wind speed at different locations of blade, the turbulence and tower shadow also increase the difficulty of its measurement. The aim of this study is to design fuzzy controllers to replace the wind speedometer to track the optimum generator speed based on the errors of generator output power and rotation speed in varying wind speed. Besides, this paper proposes the fuzzy adaptive PID control to replace traditional PID control under rated wind speed in variable-pitch wind turbine, which can detect and analyze important aspects, such as unforeseeable conditions, parameters delay and interference in the control process, and conducts online optimal adjustment of PID parameters to fulfill the requirement of variable pitch control system.

• 한국태양에너지학회:학술대회논문집
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• 한국태양에너지학회 2008년도 추계학술발표대회 논문집
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• pp.288-293
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• 2008

A predictive model of wind speed in the wind farm has very important meanings. This paper presents an estimation model of wind speed based on time series analysis using the observed wind data at Hangyeong Wind Farm in Jeju island, and verification of the predictive model. In case of Hangyeong Wind Farm and Haengwon Wind Farm, The ARIMA(Autoregressive Integrated Moving Average) predictive model was appropriate, and the wind speed estimation model was developed by means of parametric estimation using Maximum likelihood Estimation.

• 한국산학기술학회논문지
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• 제17권4호
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• pp.92-99
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• 2016

풍력터빈은 정격풍속미만에서 최대출력을 내기위한 제어를 한다. 최대출력을 얻기 위한 방법 중에는 최적 TSR(Tip Speed Ratio)제어와 P&O(Perturbation and Observation) 제어가 대표적이라 할 수 있다. P&O 제어는 출력과 회전속도만을 이용하여 간단한 알고리즘으로 제어되지만 반응속도가 느린 것이 단점이라 할 수 있다. 최적 TSR 제어는 반응속도가 빠르지만 정확한 풍속을 알아야만 된다. 정확한 풍속을 구하기 위하여 측정을 하거나 예측하는 방법을 사용한다. 풍속을 측정하기 위하여 풍속계를 풍력터빈에 가까이 설치하게 되는 데, 이 때 블레이드의 간섭으로 정확한 풍속 측정이 쉽지 않다. 그래서 풍속을 예측하는 방법들이 사용하게 되었다. 풍속을 예측하기 위하여 신경망을 비롯한 다양한 수치해석 방법들이 사용되고 있으나 풍속예측 문제는 역문제와 관련이 있어 그리 간단치가 않다. 본 논문에서는 기존의 방법들과 다르게 역문제로 풀지 않고 바람의 출력그래프에서 터빈의 출력과 회전속도만을 이용하여 풍속을 예측할 수 있는 새로운 방법을 제안하였다. Matlab/Simulink을 사용하여 제안된 방법으로 풍속이 제대로 예측되며 최대 출력제어가 되는 것을 확인하였다.

• 한국지능시스템학회논문지
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• 제20권6호
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• pp.852-857
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• 2010

최근 풍력발전 시스템은 가장 빨리 발전하고 있는 신재생 에너지원중 하나로 각광을 받고 있으며, 풍력발전 시스템의 주된 관심사는 어떻게 광범위한 풍속의 변화에서도 효율적으로 시스템을 동작시키는 가에 있다. 일반적으로 풍속은 풍력발전시스템의 동특성에 큰 영향을 미치는 요소이다. 따라서 많은 풍력발전 제어 알고리즘은 성능향상을 위해 풍속의 측정을 요구하게 된다. 그러나 불행히도 풍속계와 같은 센서에 의한 실효 풍속의 정확한 측정은 어려운 실정이며 따라서 제어 시스템의 동작을 위해 풍속은 여러 가지 기법을 통해 추정되고 있는 실정이다. 이에 본 연구에서는 신경망 학습을 통해 현재 풍속을 추정한 후 추정된 풍속을 이용하여 최대 전력점을 추종(MPPT)하는 방법을 제안하고자 하며, 제안된 기법의 유용성 검증을 위해 실제 제작된 실험환경에서의 적용실험을 수행하였다.

• 한국안전학회지
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• 제33권1호
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• pp.103-108
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• 2018

Since tower cranes are susceptible to wind loads, the operation of the tower crane should be ceased when it exposed to a strong wind. For this reason, even in Korea, the operation limit for wind loading on the tower crane is regulated by a law. Recently the Korean law in which provided the wind speed limit to cease the tower crane operation has been revised from "instantaneous wind speed of 20 m/s" to "instantaneous wind speed of 15 m/s". Although this revision is expected to reduce safety risks in tower crane operation, some field operators still insist to lower the wind speed limit. However, in many countries "wind speed of 20 m/s" is normally used as the maximum in-service wind speed for tower cranes. Therefore, the investigation of the proper wind speed for regulation would be helpful to secure the safety of the tower crane operation under windy condition. In this study the validity of the revised wind speed limit is investigated with the surveys targeted to both tower crane practitioners and parties of concerned in construction companies, in which various questions was provided for a suitable wind speed limit and the answers were analyzed. The results showed that the revised wind speed limit is acceptable to tower crane practitioners as well as the parties of concerned in construction companies and is satisfying the structural stability requirement for in-service state tower crane. Therefore, it can be concluded that the revised wind speed limit is valid in humanly safety point of view.

• 한국지능시스템학회논문지
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• 제25권4호
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• pp.327-333
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• 2015

풍력 터빈은 정격 풍속 미만일 때는 최대 출력을 내기위한 제어를 한다. MPC(Maximun Power Control)제어방법은 발전기의 회전속도를 제어하여 최대 출력을 내는 방법인데 풍속을 알아야한다. 하지만 여러 가지 이유로 풍속을 실측하기보다는 풍속을 예측하여 사용하는 방법들이 제안되고 있다. 풍속예측은 TSR(Tip Speed Ratio)을 알아야 하는 데, TSR은 복잡한 관계식을 풀어야 한다. 그래서 TSR을 구하기 위해 다양한 방법들이 소개되고 있다. 본 논문에서는 TSR을 쉽고 빠르게 구하기 위하여 복잡한 관계식을 리그레션을 이용하여 간단한 방정식으로 근사화하는 방법을 제안하였다. 제안된 방법은 Matlab/Simulink 시뮬레이션을 통하여 제대로 작동하는 것을 확인하였다.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2001년도 Proceedings ICPE 01 2001 International Conference on Power Electronics
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• pp.650-655
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• 2001

Wind speeds can vary rapidly and wind turbines cannot easily follow these variations because of their inertia and aerodynamic characteristics. For maximum energy extraction. the turbine blades should operate at their optimum tip speed ratio, but with rapid changes in wind speed. this is usually not possible. To improve the energy extraction from turbulent wind, it is necessary to establish an effective measure of the high frequency component of the wind. and then to use this measure to optimise the operation of the turbine controller for maximum energy extraction. This paper presents an approach for combining readings from three anemometers into a composite wind speed measurement. and using this signal to control the operation of a permanent magnet generator to achieve maximum energy extraction. The method combines simulation and experimental investigations into a heuristic algorithm. and demonstrates its effectiveness with field trials.