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复杂地形风电场微观选址实践探讨
引用本文:王红光,赵海军,段晓辉. 复杂地形风电场微观选址实践探讨[J]. 南方能源建设, 2019, 6(2): 59-63. DOI: 10.16516/j.gedi.issn2095-8676.2019.02.011
作者姓名:王红光  赵海军  段晓辉
作者单位:1.珠海华成电力设计院股份有限公司,珠海 519000
摘    要:  [目的]  相对于平坦地形风电场,复杂地形风电场内的风速、风向表现出显著的区域性差异,给机组选型、风机排布、发电量评估等工作带来了不小的挑战。旨在解决复杂地形风电场微观选址过程中可能出现的测风塔、等高线、限制因素等问题。  [方法]  基于收集到的风电场项目资料,结合作者工作经验,分别对其进行了详尽阐述,举例说明了限制因素对风电场发电量的显著影响。  [结果]  通过现场勘察,核实了测风塔确切位置、标记了场区范围内的限制因素位置和范围;利用3D矢量数据生成立体高程网格,结合等高线数值对比分析,检验了地形图中等高线值的准确性。  [结论]  准确的测风塔位置和较高质量的测风数据对风能资源评估有决定性作用;限制因素区域的标识,缩短了制定风机排布方案所需的时间,提高了工作效率;结合准确无误的等高线地形图可以较准确地模拟风电场及周边区域的风能资源情况,为投资者提供优质的评估成果。

关 键 词:复杂地形   测风塔   等高线   限制因素
收稿时间:2018-05-30

Discuss on the Work Practice of Wind Farm Micro-sitting in Complex Terrain Region
Affiliation:1.Zhuhai Huacheng Electric Power Design Institute Co., Ltd., Zhuhai 519000, China
Abstract:  [Introduction]  With respect to the flat topography wind farm, wind speed and wind direction present significant regional difference in complex terrain region, which bring great challenges to the selection of generator, wind turbine layout, production assessment. To solve these problems that may occur during micro-sitting in complex terrain region such as wind measurement mast, contour, restricted factors.  [Method]  This paper detailedly analysed and discussed these problems based on the collected wind data, associated with the author′s work experience, and illustrated the significant influence of restricted factors on the generation of wind farm.  [Result]  Confirming the accurate location of the wind measurement mast, marking the restricted areas at the topographic map via field investigation. Checking the accuracy of the contour value by creating elevation grid from 3D vector data, making contrast analysis with the value of the contour lines.  [Conclusion]  Practice has proved that accurate site of the mast and high-quality wind data play an important role during wind energy resource assessment, the identification of restricted areas can shorten the time required to develop a layout plan and improve the work efficiency. With accurate topographic map, wind resources in the wind farm and surrounding areas can be accurately simulated, which can provide quality assessment results for investors.
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