李俊凯,葛莹,鲍倩,王雪松,陈科

• 1:河海大学地球科学与工程学院
• 2:中国电力建设集团昆明勘测设计研究院有限公司

摘要(Abstract)：

针对传统的风电场微观选址方法存在忽视地理场景的弊端,该文提出了一种基于地理场景的风电场微观智能选址工作流方法。首先,利用均值变点分析法自动提取起伏度和坡度。在此基础上,根据风电场设计原理提供基于平坦和复杂地形两套风机自动布设方案;其次,评估区域风能资源,利用长时序NCEP再分析资料获取年平均风速、风功率和盛行风向等风机布设参数;最后,在平坦地形下,风机布设引入粗糙度和障碍物等地理要素,并根据盛行风向选择风机排列方式,在复杂地形下,运用水文分析和邻域分析原理,提取山顶点、山脊线和迎风坡等地理要素,并将其融入风电场微观选址模型作为风机布设参数。整个工作流调用的所有任务均借助Python语言在GIS环境中编程实现自动执行,极大地提高了风电场微观选址效率。通过尖山梁子风电场实例对比,证明了本研究的可行性。

关键词(KeyWords)： 风电场;地理场景;微观选址;智能化;工作流

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(41071347);; 云南省重大科技专项——新能源(2013ZB006)

作者(Author): 李俊凯,葛莹,鲍倩,王雪松,陈科

DOI: 10.16251/j.cnki.1009-2307.2020.04.028

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