• Title/Summary/Keyword: 풍력 터빈 시스템

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Wind Speed Estimation using Regression Method for Maximum Power Control (리그레션 방법을 이용한 최대출력제어 풍속예측)

  • Ko, SeungYoun;Kim, Ho-Chan;Huh, Jong-Chul;Kang, Min-Jae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.4
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    • pp.327-333
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    • 2015
  • Wind turbines, in the case of less than rated wind speed, is controlled to achieve maximum power. MPC(Maximun Power Control) method, by controlling the rotational speed of the generator, is a method to achieve maximum power but should know the wind speed. However, for several reasons, there have been proposed methods of estimating the wind speed rather than measuring wind speed. TSR(Tip Speed Ratio) is needed to know to estimate the wind speed. However, a complex interaction formula has to be solved to find a TSR. Therefore, many methods have been suggested to solve a complex interaction formula. In this paper, the new method has been proposed to simplify the complicated interaction formula by using the regression method. Matlab/Simulink is used to simulate and to verify the proposed method.

Application of Excitation Moment for Enhancing Fault Diagnosis Probability of Rotating Blade (회전 블레이드의 결함진단 확률제고를 위한 가진 모멘트 적용)

  • Kim, Jong Su;Choi, Chan Kyu;Yoo, Hong Hee
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.38 no.2
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    • pp.205-210
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    • 2014
  • Recently, pattern recognition methods have been widely used by researchers for fault diagnoses of mechanical systems. A pattern recognition method determines the soundness of a mechanical system by detecting variations in the system's vibration characteristics. Hidden Markov models (HMMs) and artificial neural networks (ANNs) have recently been used as pattern recognition methods in various fields. In this study, a HMM-ANN hybrid method for the fault diagnosis of a mechanical system is introduced, and a rotating wind turbine blade with a crack is selected for fault diagnosis. The existence, location, and depth of said crack are identified in this research. For improving the diagnostic accuracy of the method in spite of the presence of noise, a moment with a few specific frequencies is applied to the structure.

Economic and Environmental Assessment of a Renewable Stand-Alone Energy Supply System Using Multi-objective Optimization (다목적 최적화 기법을 이용한 신재생에너지 기반 자립 에너지공급 시스템 설계 및 평가)

  • Lee, Dohyun;Han, Seulki;Kim, Jiyong
    • Korean Chemical Engineering Research
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    • v.55 no.3
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    • pp.332-340
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    • 2017
  • This study aims to propose a new optimization-based approach for design and analysis of the stand-alone hybrid energy supply system using renewable energy sources (RES). In the energy supply system, we include multiple energy production technologies such as Photovoltaics (PV), Wind turbine, and fossil-fuel-based AC generator along with different types of energy storage and conversion technologies such as battery and inverter. We then select six different regions of Korea to represent various characteristics of different RES potentials and demand profiles. We finally designed and analyzed the optimal RES stand-alone energy supply system in the selected regions using multiobjective optimization (MOOP) technique, which includes two objective functions: the minimum cost and the minimum $CO_2$ emission. In addition, we discussed the feasibility and expecting benefits of the systems by comparing to conventional systems of Korea. As a result, the region of the highest RES potential showed the possibility to remarkably reduce $CO_2$ emissions compared to the conventional system. Besides, the levelized cost of electricity (LCOE) of the RES-based energy system is identified to be slightly higher than conventional energy system: 0.35 and 0.46 $/kWh, respectively. However, the total life-cycle emission of $CO_2$ ($LCE_{CO2}$) can be reduced up to 470 g$CO_2$/kWh from 490 g$CO_2$/kWh of the conventional systems.