• Title/Summary/Keyword: wind farm

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Modeling and Analysis of Variable Wind Speed Turbine System Using Back to Back Converter (Back to bock 컨버터를 갖는 가변속 풍력터빈 시스템의 모델링과 해석)

  • Kim, Eel-Hwan;Kang, Keong-Bo;Kim, Jae-Hong;Moon, Sang-Ho;Oh, Sung-Bo;Kim, Se-Ho
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.19 no.8
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    • pp.150-157
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    • 2005
  • This paper presents the simulation modeling and analysis of variable wind speed turbine system(VWTS) using the doubly fed induction generator(DFIG) connected the back to back converter system in the rotor side. In the simulation, using the model system which has the 660[kW] rated power, blade control and the dual converter system are modeled for verifying the control characteristics. The VWTS is controlled by the optimal pitch angle for maximum output power under the rated wind speed, and for the rated output power over the rated wind speed. And also power factor is controlled by the reactive power. To verify the effectiveness of the proposed method, simulation results are compared with the actual data from the V47 VWTS located in Hangwon wind farm in Jeju-Do. According to the comparison of these results, this method shows excellent performance.

Scour depth analysis of foundation structure of southwestern sea offshore wind power demonstration complex (서남해 해상풍력 실증단지 기초구조물의 세굴심 분석)

  • Su-Bin Yong;Eun-Pyo Lim;Haeng-Woon Kim;Mun-Seong Gwak;In-Su Kim;In-Sung Jeon;Min-Seuk Kim
    • Journal of Wind Energy
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    • v.15 no.1
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    • pp.69-81
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    • 2024
  • In order to understand water depth distribution in the waters of the southwestern sea offshore wind power demonstration complex, field observations were conducted using a multi-beam echosounder from before construction (2018.2) to operation (2022.8). After data processing and correction of the observed depth, cross-sectional analysis was performed to calculate the maximum water depth value, and time phase analysis was performed using the maximum water depth value. The maximum water depth change rate over time tended to gradually decrease, and there was little difference in the rate of change before the construction of the wind turbine foundation structure, and the rate of change was rapid when the foundation structure was under construction. As a result of time phase analysis, the rate of change of the first (2018.02) and the second (2018.05) showed a rate between -6.27 and -4.13, on average, as the rate of change before the construction of the offshore wind farm, and there was no difference between the first and second rates. The third (2018.11) rate of change was -4.25 to -1.82, and the fourth (2019.04) rate of change was -2.34 to -1.22, and the rate of change increased rapidly after the third time. The fifth (2019.07) rate of change was -2.11 to -1.31, the sixth (2021.05) rate of change was -2.09 to -1.28, and the seventh (2022.08) was -2.11 to -1.22 rate of change, and after the rate of change reached some extent, the change was analyzed in an insufficient graph.

Characteristics of Incident Waves on Seaweed Farm Field Around Gumil-up Sea, Wando (완도 금일읍 주변해역 해조류 양식장에 내습하는 해양파랑 특성)

  • Jeon, Yong-Ho;Yoon, Han-Sam;Kim, Dong-Hwan;Kim, Heon-Tae
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.15 no.3
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    • pp.177-185
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    • 2012
  • Wave field measurements were made over a period of 18 days to study the spatial distribution of incident wave on seaweed tarm field around Gumil-up Sea, Wando, Korea. These measured data were compared with data from the Geomun-do ocean weather/wave observation buoy. A numerical simulation model that combined the offshore design wave with the seasonal normal incoming wave was used to study the incident wave distribution surrounding a seaweed farm. The results are summarized as follows. (1) On-site wave measurements showed that the major relationship between maximum and significant wave height was $H_{max}=1.6H_{1/3}$. (2) Offshore incident wave energy reaching the coast was greatly influenced by the wind direction. A north wind reduced the incident wave energy and a south wind increased it. (3) The calculated maximum wave height under the design wave boundany conditions was in the range of 4~5 m and the reduction in the incident wave height ratio ranged from approximately 38.1% to 47.6% at Gumil-up Sea. Under normal wave conditions, the maximum wave heights were 3.6~4.0 m in summer and 2.3~2.7 m in winter while the reduction in the incident wave height ratio was about 41.8% to 49.1%. (4) The sea state in the southern area of Gumil-up was the most affected by ocean waves, whereas the sea state in the northern area was very stable. The significant wave ratio in the south was about six times that in the north.

Marine Environmental Characteristics around the Test Phase of Offshore Wind Farm in the Southwestern Coast of Yellow Sea (서남해 해상풍력 실증단지 해역의 해양 환경 특성)

  • Seo, Jinsung;Maeng, Junho;Lim, Eunpyo;Jin, Seungjoo;Kim, Hyunmin;Kim, Taeyun
    • Journal of Environmental Impact Assessment
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    • v.28 no.5
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    • pp.457-470
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    • 2019
  • This study aims to present the characteristics of marine physics, water quality, and sediment quality around offshore wind farm near the Gochang and Buan sea areas through the analysis of monitoring data. The relationships between suspended solid and wave height as well as suspended solid and flow velocity were analyzed. We found that Correlation Coefficient values of 0.61~0.69 between wave height and suspended solid, and suspended solid concentration reaches 75 mg/L or higher when wave height of more than 1m occurred in the spring (1 month). The water quality index (WQI) was used to identify the status of the water quality in the study area. Most of the measured points were rated first grade (very good). The variation of chlorophyll-a was relatively hight compared to the other criteria, indicating that it is a major factor affecting the quality index. In the sediment column, all heavy metals were detected below the Threshold Effects Level(TEL), and ignition loss and grain size show a positive correlation.

Dynamic Reserve Estimating Method with Consideration of Uncertainties in Supply and Demand (수요와 공급의 불확실성을 고려한 시간대별 순동예비력 산정 방안)

  • Kwon, Kyung-Bin;Park, Hyeon-Gon;Lyu, Jae-Kun;Kim, Yu-Chang;Park, Jong-Keun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.11
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    • pp.1495-1504
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    • 2013
  • Renewable energy integration and increased system complexities make system operator maintain supply and demand balance harder than before. To keep the grid frequency in a stable range, an appropriate spinning reserve margin should be procured with consideration of ever-changing system situation, such as demand, wind power output and generator failure. This paper propose a novel concept of dynamic reserve, which arrange different spinning reserve margin depending on time. To investigate the effectiveness of the proposed dynamic reserve, we developed a new short-term reliability criterion that estimates the probability of a spinning reserve shortage events, thus indicating grid frequency stability. Uncertainties of demand forecast error, wind generation forecast error and generator failure have been modeled in probabilistic terms, and the proposed spinning reserve has been applied to generation scheduling. This approach has been tested on the modified IEEE 118-bus system with a wind farm. The results show that the required spinning reserve margin changes depending on the system situation of demand, wind generation and generator failure. Moreover the proposed approach could be utilized even in case of system configuration change, such as wind generation extension.

Development of Estimation Functions for Strong Winds Damage Reflecting Regional Characteristics Based on Disaster Annual Reports : Focused on Gyeongsang Area (재해연보 기반 지역특성을 반영한 강풍피해예측함수 개발 : 경상지역을 중심으로)

  • Rho, Jung-Lae;Song, Chang-young
    • Journal of the Society of Disaster Information
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    • v.16 no.2
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    • pp.223-236
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    • 2020
  • Purpose: In this study, a strong wind damage prediction function was developed in order to be used as a contingency during disaster management (preventive-preventive-response-recovery). Method: The predicted strong wind damage function proposed in this study took into account the re-enactment boy power, weather data and local characteristics at the time of damage. The meteorological data utilized the wind speed, temperature, and damage history observed by the Korea Meteorological Administration, the disaster year, and the recovery costs, population, vinyl house area, and farm water contained in the disaster report as factors to reflect the regional characteristics. Result: The function developed in this study reflected the predicted weather factors and local characteristics based on the history of strong wind damage in the past, and the extent of damage can be predicted in a short time. Conclusion: Strong wind damage prediction functions developed in this study are believed to be available for effective disaster management, such as decision making by policy-makers, deployment of emergency personnel and disaster prevention resources.

Variability of Wind Energy in Korea Using Regional Climate Model Ensemble Projection (지역 기후 앙상블 예측을 활용한 한반도 풍력 에너지의 시·공간적 변동성 연구)

  • Kim, Yumi;Kim, Yeon-Hee;Kim, Nayun;Lim, Yoon-Jin;Kim, Baek-Jo
    • Atmosphere
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    • v.26 no.3
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    • pp.373-386
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    • 2016
  • The future variability of Wind Energy Density (WED) over the Korean Peninsula under RCP climate change scenario is projected using ensemble analysis. As for the projection of the future WED, changes between the historical period (1981~2005) and the future projection (2021~2050) are examined by analyzing annual and seasonal mean, and Coefficient of Variation (CV) of WED. The annual mean of WED in the future is expected to decrease compared to the past ones in RCP 4.5 and RCP 8.5 respectively. However, the CV is expected to increase in RCP 8.5. WEDs in spring and summer are expected to increase in both scenarios RCP 4.5 and RCP 8.5. In particular, it is predicted that the variation of CV for WED in winter is larger than other seasons. The time series of WED for three major wind farms in Korea exhibit a decrease trend over the future period (2021~2050) in Gochang for autumn, in Daegwanryeong for spring, and in Jeju for autumn. Through analyses of the relationship between changes in wind energy and pressure gradients, the fact that changes in pressure gradients would affect changes in WED is identified. Our results can be used as a background data for devising a plan to develop and operate wind farm over the Korean Peninsula.

Computing turbulent far-wake development behind a wind turbine with and without swirl

  • Hu, Yingying;Parameswaran, Siva;Tan, Jiannan;Dharmarathne, Suranga;Marathe, Neha;Chen, Zixi;Grife, Ronald;Swift, Andrew
    • Wind and Structures
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    • v.15 no.1
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    • pp.17-26
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    • 2012
  • Modeling swirling wakes is of considerable interest to wind farm designers. The present work is an attempt to develop a computational tool to understand free, far-wake development behind a single rotating wind turbine. Besides the standard momentum and continuity equations from the boundary layer theory in two dimensions, an additional equation for the conservation of angular momentum is introduced to study axisymmetric swirl effects on wake growth. Turbulence is simulated with two options: the standard ${\kappa}-{\varepsilon}$ model and the Reynolds Stress transport model. A finite volume method is used to discretize the governing equations for mean flow and turbulence quantities. A marching algorithm of expanding grids is employed to enclose the growing far-wake and to solve the equations implicitly at every axial step. Axisymmetric far-wakes with/without swirl are studied at different Reynolds numbers and swirl numbers. Wake characteristics such as wake width, half radius, velocity profiles and pressure profiles are computed. Compared with the results obtained under similar flow conditions using the computational software, FLUENT, this far-wake model shows simplicity with acceptable accuracy, covering large wake regions in far-wake study.

The Analysis of Assessment Factors for Offshore Wind Port Site Evaluation (해상풍력 전용항만 입지선정 평가항목에 관한 연구)

  • Ko, HyunJeung
    • Journal of Korea Port Economic Association
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    • v.28 no.3
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    • pp.27-44
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    • 2012
  • The offshore wind farm is increasingly attractive as one of future energy sources all over the world. In addition, the capacity of an offshore wind turbine gets larger and its physical characteristics are big and heavy. In this regard, a special port is necessary to assemble, store, and transport the offshore wind systems, supporting to form the offshore wind farms. Thus, this study aims to provide a policy maker which evaluation factors can significantly affect to the optimal site selection of a offshore wind port. For this, Fuzzy-AHP method is applied to capture the relative weights. The results of this study can be summarized as follows. Five criteria in level I was defined such as the accumulation factor, the regional factor, the economic factor, the location factor, and the consortium factor. Of these, the accumulation factor(37.4%), the location factor(34.2%), and the economic factor( 24.5%) were analyzed by major factors. In level II, three assessment items of each factor were selected so that total fifteen items were formed. To sum up, the site selection of offshore wind port should consider the density of the wind industry, cargo volume of securing the economic operation of terminals, the development degree of offshore wind related industry, and the proximity to the offshore wind farms. In other words, the construction of offshore wind port should be paid attention to considering not only the proximity to offshore wind farms but also the preference of turbine manufacturing companies.

Study of wind power plant power flow modeling for large wind farm analysis (대규모 풍력단지 해석을 위한 조류계산 기반의 풍력발전단지 모델링 기법 연구)

  • Moon, Ji-Hye;Kim, Ji-Hun;Lee, Hwan-Ik;Lee, Byong-Jun
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.278-279
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    • 2011
  • 세계적으로 풍력 에너지에 대한 수요가 증가하고 있으며 이러한 풍력발전의 집중화 및 대규모화에 따라 풍력발전기가 고려된 계통의 해석이 필수적이며 이에 따라 풍력발전기가 고려된 계통의 해석을 위해 풍력발전기의 특성 및 출력을 파악 할 수 있는 정확한 모델링이 요구된다. 따라서 풍력발전기가 포함된 풍력발전단지의 모델링 및 조류계산 레벨에서의 무효전력보상 모델링의 방법을 정립해보며 이를 바탕으로 풍력 발전기가 포함된 모의 계통을 설계하였다.

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