• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
• /
• 제12B권1호
• /
• pp.24-30
• /
• 2002

The developments of the solar and the wind power energy are necessary since the future alternative, energies that have no pollution and no limitation are restricted. Currently power generation system of MW scale has been developed, but it still has a flew faults with the weather condition. In order to solve these existing problem combined generation system of photovoltaic(400W) and wind power generation system(400W) was suggested. It combines wind power and solar energy to have the supporting effect from each other. However, since even combined generation system cannot always generate stable output with ever-changing weather condition, power storage apparatus that uses elastic energy of spiral spring to combined generation system was also added far the present study. In an experiment, when output of combined generation system gets lower than 12V(charging voltage), power was continuously supplied to load through the inverter by charging energy obtained from generating rotary energy of spiral spring operates in small scale generator.

• 한국태양에너지학회 논문집
• /
• 제24권3호
• /
• pp.47-54
• /
• 2004

Photovoltaic energy and wind energy are highly dependent on the season, time and extremely intermittent energy sources. Because of these reasons, in view of the reliability the photovoltaic and the wind power generation system have many problems(energy conversion, energy storage, load control etc.) comparing with conventional power plant. In order to solve these existing problems, hybrid generation system composed of photovoltaic(500W) and wind power system(400W) was suggested. But, hybrid generation system cannot always generate stable output due to the varying weather condition. So, the auxiliary power compensation unit that uses elastic energy of spiral spring was added to hybrid generation system for the present study. It was partly confirmed that hybrid generation system was generated a stable outputs by spiral spring was continuously provided to load.

• 대한전기학회논문지:전력기술부문A
• /
• 제53권6호
• /
• pp.309-315
• /
• 2004

The wind power is known as the most promising future energy source to obtain the electricity Induction generator is a simple energy conversion unit in the wind power generation system but it consumes the reactive power from the interconnected power system. Switched capacitor banks are normally used to compensate the reactive power, which bring about the transient overvoltage. This paper proposes a method for compensating the reactive power with STATCOM. A detail simulation model for analyzing the interaction between the wind power system and the commercial power system was developed using EMTDC software. The developed simulation model can be effectively utilized to plan the reactive power compensation for newly designed wind power system.

• 한국신재생에너지학회:학술대회논문집
• /
• 한국신재생에너지학회 2011년도 춘계학술대회 초록집
• /
• pp.165.1-165.1
• /
• 2011

In the present study, two numerical methods were developed and compared for the performance prediction of the horizontal axis energy conversion turbine. The Blade Element Momentum Theory was adopted, and the rotating reference frame method for Computational Fluid Dynamics solver was also used. Hybrid meshing was used for the complex geometry of turbines. The analysis results using each method were compared to figure out a better method for the performance prediction.

• 전력전자학회:학술대회논문집
• /
• 전력전자학회 2019년도 추계학술대회
• /
• pp.180-181
• /
• 2019

This paper proposes a method for improving the power quality of PMSG-based wind energy conversion system based on model predictive control in DC Microgrid. The MPC has a fast dynamic response. However, a large torque ripple deteriorating power quality is generated by a large and fixed switching period. On the other hand, the proposed method improves the power quality by setting the sampling time having zero torque error. The validity of the proposed method is verified through PSIM simulation.

• 기계저널
• /
• 제52권7호
• /
• pp.40-44
• /
• 2012

이 글에서는 풍력발전시스템(wind energy conversion system)에 사용되는 대형 복합재 블레이드(composite blade)의 내부 결함 및 이를 통한 신뢰성 평가 동향에 대해 소개하고자 한다.

• KIEE International Transactions on Power Engineering
• /
• 제3A권4호
• /
• pp.206-213
• /
• 2003

The main purpose of this paper is to present a simulation model for assessing the impacts of a variable speed wind turbine (VSWT) on the distribution network and perform a simulation analysis of voltage profiles along the wind turbine installed feeder using the presented model. The modeled wind energy conversion system consists of a fixed pitch wind turbine, a synchronous generator, a rectifier and a voltage source inverter (VSI). Detailed study on the voltage impacts of a variable speed wind turbine is conducted in terms of steady state and dynamic behaviors. Various capacities and different modes of variable speed wind turbines are simulated and investigated. Case studies demonstrate how feeder voltages are influenced by capacity and control modes of wind turbines and changes in wind speed under different network conditions. Modeling and simulation analysis is based on PSCAD/EMTDC a software package.

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

• 태양에너지
• /
• 제12권3호
• /
• pp.126-136
• /
• 1992

In this paper an EGD generator of small capacity with the operating gases of $O_2,\;N_2$ and air is made and the electric characteristics in relation to energy conversion range length, corona current and gas pressure are investigated. The results are as follows: 1. There is a critical value in conversion range length for maximum open voltage and the critical value increases with fluid velocity. 2. The open voltage increases approximately linearly with corona current. 3. There is a critical value in the gas pressure for maximum open voltage and this pressure of gas decreases with fluid velocity in constant conversion range length.

• 한국지능시스템학회논문지
• /
• 제20권2호
• /
• pp.243-250
• /
• 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. 가변속 풍력발전 시스템은 고정속 풍력발전 시스템에 비해 더 높은 에너지 효율, 낮은 컴포넌트 스트레스를 달성할 수 있다는 장점을 갖는다. 일반적으로 가변속 풍력발전 시스템의 제어를 위해서는 풍속정보의 취득이 필수적으로 요구된다. 하지만 풍속계 등에 의해 측정된 풍속은 여러 요인에 의해 정확하지 않다는 문제점을 갖는다. 이에 본 연구에서는 풍속의 추정을 위한 칼만 필터와 칼만 필터에 의해 추정된 정보를 사용하여 학습된 인공신경망으로부터 최적의 로터 회전 속도를 유추할 수 있는 새로운 형태의 가변속 풍력발전 시스템을 위한 제어 알고리듬을 제안하고자 한다. 또한 Matlab의 시뮬링크를 사용하여 다양한 시뮬레이션 수행하여 제안된 기법의 유용성을 확인하고자 한다.