• Title/Summary/Keyword: Wind farm

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A Reliability Model of Wind Farm Considering the Complex Terrain and Cable Failure Based on Clustering Algorithm

  • Liu, Wenxia;Chen, Qi;Zhang, Yuying;Qiu, Guobing;Lin, Chenghui
    • Journal of Electrical Engineering and Technology
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    • v.9 no.6
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    • pp.1891-1899
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    • 2014
  • A reliability model of wind farm located in mountainous land with complex terrain, which considers the cable and wind turbine (WT) failures, is proposed in this paper. Simple wake effect has been developed to be applied to the wind farm in mountainous land. The component failures in the wind farm like the cable and WT failures which contribute to the wind farm power output (WFPO) and reliability is investigated. Combing the wind speed distribution and the characteristic of wind turbine power output (WTPO), Monte Carlo simulation (MCS) is used to obtain the WFPO. Based on clustering algorithm the multi-state model of a wind farm is proposed. The accuracy of the model is analyzed and then applied to IEEE-RTS 79 for adequacy assessment.

Assessment of Possible Resources and Selection of Preparatory Sites for Offshore Wind Farm around Korean Peninsula (국내 해역의 해상풍력 가능자원 평가 및 예비부지 선정)

  • Kim, Ji-Young;Kang, Keum-Seok;Oh, Ki-Yong;Lee, Jun-Shin;Ryu, Moo-Sung
    • New & Renewable Energy
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    • v.5 no.2
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    • pp.39-48
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    • 2009
  • Recently, developing the offshore wind farm in Korean peninsula is widely understood as essential to achieve the national target for the renewable energy. As part of national plan, KEPRI (Korea electric power research institute) is performing the front running project for the offshore wind farm development that is dedicated to investigate the possible resources based on the economy considering current technological status. It also includes the selection of the first sea area among candidates and optimal design of the offshore wind farm, etc. In this paper the interim results of the project are summarized that the possible capacity for the offshore wind farm can be estimated conservatively around 18 GW regarding the wind power class, sea depth and social constraint. The five western sea areas near Taean, Gunsan, Gochang, Yeonggwang, Sinan were chosen for the candidating sites. Detailed analysis for these sites will be conducted to finalize the first-going offshore wind farm in Korea.

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Study on Basic Wind Speed Suiteable for Wind Power Development (풍력발전에 적합한 기본풍속 연구)

  • Kim, JungHwan;Jeong, HoSeong;Kim, HyeongJun;Han, JungHun;Park, SunKyu;Choi, JinWoong
    • 한국신재생에너지학회:학술대회논문집
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    • 2010.11a
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    • pp.189.1-189.1
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    • 2010
  • The wind farm where the wind velocity condition is excellent and economical can be established to produce power with the multiple wind power turbine. The wind velocity which is suitable to Wind Power Development must be evaluated for searching the economical wind farm on planning the wind farm. In this paper, based on wind speed data at 24 locations in Korea from 1971 through 2009, the basic wind velocity which can be applied to designing wind power development is estimated using the statiscal process. The wind velocity which is measured from observation stations is revised according to wind gauge's height and Circumferential environment. The wind speeds for 200 year's return period in 24 locations are determined using the Gumbel's distribution.

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Review on The Proposed Offshore Wind Farm Projects Using National Wind Atlas and National Geographic Information (국가바람지도 및 국가지리정보에 의한 국내 해상풍력단지 개발계획의 비교분석)

  • Kim, Hyun-Goo;Hwang, Hyo-Jung
    • Journal of the Korean Solar Energy Society
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    • v.30 no.5
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    • pp.44-55
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    • 2010
  • The proposed offshore wind farm projects, i.e., Mooudo offshore, Yeonggwang-Gochang offshore, Saemangeum offshore, Imjado offshore and Gadeokdo-Dadeapo offshore, were compared and analyzed using the Korea National Wind Mapand Wind Farm Suitability Assessment System developed by the Korea Institute of Energy Research. The suitability of the proposed areas was comprehensively assessed using geographic, economic constraints, wave condition and wind resource factors, but the focus of this paper was on the geographic constraints and wave conditions. Imjado had several geographical constraints, despite having a good wind power density, while Saemangeum had a relatively low wave height, shallow water depth, close substation and slow tidal current. It is anticipating that the present comparison and analysis could be used as reference guidelines when selecting and preparing the design of large-scale offshore wind farm in the near future.

Distance Relaying Algorithm for Intertie Protection of a Wind Farm Considering the Fault Ride-through Requirement (Fault ride-through 요구를 고려한 풍력발전단지 연계선 보호 거리계전 알고리즘)

  • Kang, Yong-Cheol;Kang, Hae-Gweon;Zheng, Tai-Ying;Kim, Yeon-Hee;Lee, Young-Gui
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.6
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    • pp.1053-1058
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    • 2010
  • A large modern wind farm should satisfy the requirements for a grid and accomplish the optimization of the wind farm system. The wind farm intertie protection system should consider a Fault Ride-Through (FRT) requirement for more reliable protection. The wind farm should keep connected to the grid in the case of a grid fault whilst it should be isolated for an intertie fault. This paper proposes a distance relaying algorithm suitable for wind farm intertie protection considering the FRT requirement. The proposed algorithm estimates the impedance based on a differential equation method because the frequency of the voltage and current deviates the nominal frequency. The algorithm extends the reach of Zone 1 up to 100 % of the length of the intertie to implement the FRT requirement. To discriminate an intertie fault from a grid fault, the algorithm uses a voltage blocking scheme because the magnitude of the voltage at the relaying point for an intertie fault becomes less than that for a grid fault. The performance of the algorithm is verified using a PSCAD/EMTDC simulator under various fault conditions. The algorithm can discriminate successfully the intertie fault from grid fault and thus helps to implement the FRT requirement of a wind farm.

GIS Analysis on Siting Strategy of Offshore Wind Farm (해상풍력단지 입지전략 GIS 분석)

  • Song, Kyu-Bong;Kim, Hyun-Goo
    • 한국신재생에너지학회:학술대회논문집
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    • 2009.06a
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    • pp.460-462
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    • 2009
  • This study has analyzed the scale, location, resource potential and feasibility of offshore wind farm scientifically and systematically based on the national wind map and GIS (Geographic Information System). For long-term wind power development, this study pursues siting strategy building, selection of target area and deciding development priority as well as the presenting a basis for assessment that are necessary for policy decision making by making theme layers under GIS environment. According to the analysis after organizing technological development by stages, even if only the most suitable sites are developed among the area of offshore wind farm candidates that can be developed under the current technological standard, it has been evaluated as being able to develop about 3 times of the wind power dissemination target until 2012. It is expected that about 5% of territorial water area can be developed in a short-term future while the southern offshore area possessing relatively favorable wind resource than the western offshore has been identified as the most feasible site. While about 23% of territorial water area has been classified as potential area for offshore wind farm development in a long-term future, even Jeju Island and offshore of Ulsan possessing excellent wind resource have been analyzed as feasible sites. The feasibility assessment of offshore wind farm development established by this study is expected to assist national strategy building for accomplishing the wind power dissemination target.

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Influence of the Large Scaled Wind Farm Interconnected with 154 kV Power Networks on the Distance Relay (154 kV 계통 연계 대규모 풍력단지가 송전선 거리계전기에 미치는 영향)

  • Jang, Sung-Il;Kim, Kwang-Ho;Park, Jong-Keun
    • Proceedings of the KIEE Conference
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    • 2003.11a
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    • pp.334-336
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    • 2003
  • This paper describes the influences of the large scaled wind farm interconnected with 154 kV power networks on the operational characteristics of distance relay applied in the transmission line. The wind farm composed of wind turbine generators are one of the great energy sources: they can supply the power into an interconnected network not only the normal conditions, but also the fault conditions of power network. Therefore, the distance relay applied in the transmission tine may mal-operate due to the contribution of wind farm. This paper presents the operational characteristics of distance relay for the fault occurred in the transmission line interconnected with wind farm. Simulation results show that it is difficult to recognize the fault location due to the power output of wind farm.

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AEP Prediction of a Wind Farm in Complex Terrain - WindPRO Vs. WindSim (복잡지형에 위치한 풍력발전단지의 연간발전량 예측 비교 연구)

  • Woo, Jae-Kyoon;Kim, Hyeon-Gi;Kim, Byeong-Min;Gwon, Il-Han;Baek, In-Su;Yoo, Neung-Soo
    • Journal of the Korean Solar Energy Society
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    • v.32 no.6
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    • pp.1-10
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    • 2012
  • The annual energy production of Gangwon wind farm was predicted for three consecutive years of 2007, 2008 and 2009 using commercial programs, WindPRO and WindSim which are known to be used the most for wind resource prediction in the world. The predictions from the linear code, WindPRO, were compared with both the actual energy prediction presented in the CDM (Clean Development Mechanism) monitoring report of the wind farm and also the predictions from the CFD code, WindSim. The results from WindPRO were close to the actual energy productions and the errors were within 11.8% unlike the expectation. The reason for the low prediction errors was found to be due to the fact that although the wind farm is located in highly complex terrain, the terrain steepness was smaller than a critical angle($21.8^{\circ}$) in front of the wind farm in the main wind direction. Therefore no flow separation was found to occur within the wind farm. The flow separation of the main wind was found to occur mostly behind the wind farm.

Evaluation of Implementation Potential of Offshore Wind Farm Capacity in Korea Using National Wind Map and Commercial Wind Farm Design Tool (국가바람지도와 상용 단지설계 프로그램을 활용한 국내 해상풍력단지 공급가능 잠재량 산정)

  • Song, Yuan;Kim, Chanjong;Paek, Insu;Kim, Hyungoo
    • Journal of the Korean Solar Energy Society
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    • v.36 no.4
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    • pp.21-29
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    • 2016
  • Commercial wind farm design tools and the national wind map are used to determine the implementation potential of offshore wind power in Korea in this study. For this, the territorial waters of Korea were divided into nine analysis regions and a commercial CFD code was used to obtain wind resource maps at 100m A.S.L. which is the hub height of a 5MW wind turbine used in this study. With the wind resource obtained, factors including water depth, distance from substations, minimum and maximum capacity of a wind farm, distance between turbines and wind farms were considered to determine wind power potential. Also, the conservation areas, military zones, ports, fishing grounds, etc. were considered and excluded. As the result, a total capacity of 6,720 MW was found to be the implementation potential and this corresponds to $3.38MW/km^2$ in API. Also if the distance from the substation is not considered, the potential increased to be 10,040 MW. This offshore wind farm potential is considered enough to satisfy the target of wind farm capacities in the 7th national plan for electricity demand and supply.

Accuracy Assessment of Annual Energy Production Estimated for Seongsan Wind Farm (성산 풍력발전단지의 연간발전량 예측 정확도 평가)

  • Ju, Beom-Cheol;Shin, Dong-Heon;Ko, Kyung-Nam
    • Journal of the Korean Solar Energy Society
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    • v.36 no.2
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    • pp.9-17
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    • 2016
  • In order to examine how accurately the wind farm design software, WindPRO and Meteodyn WT, predict annual energy production (AEP), an investigation was carried out for Seongsan wind farm of Jeju Island. The one-year wind data was measured from wind sensors on met masts of Susan and Sumang which are 2.3 km, and 18 km away from Seongsan wind farm, respectively. MERRA (Modern-Era Retrospective Analysis for Research and Applications) reanalysis data was also analyzed for the same period of time. The real AEP data came from SCADA system of Seongsan wind farm, which was compare with AEP data predicted by WindPRO and Meteodyn WT. As a result, AEP predicted by Meteodyn WT was lower than that by WindPRO. The analysis of using wind data from met masts led to the conclusion that AEP prediction by CFD software, Meteodyn WT, is not always more accurate than that by linear program software, WindPRO. However, when MERRA reanalysis data was used, Meteodyn WT predicted AEP more accurately than WindPRO.