利用地理场景的风电场微观智能选址方法  

A method of intelligent micro-site selection of wind farm based on geographical scene

作　　者：李俊凯 葛莹[1] 鲍倩[1] 王雪松 陈科 LI Junkai;GE Ying;BAO Qian;WANG Xuesong;CHEN Ke(School of Earth Science and Engineering,Hohai University,Nanjing 211100,China;Kunming Survey and Design Institute Co.,Ltd.,Power Construction Corporation of China,Kunming 650051,China)

机构地区：[1]河海大学地球科学与工程学院,江苏南京210000 [2]中国电力建设集团昆明勘测设计研究院有限公司,云南昆明650051

出　　处：《测绘科学》2020年第4期199-206,共8页Science of Surveying and Mapping

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

摘　　要：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。According to the fact that traditional wind farm sitting methods have neglected geographical scenes,this paper provides an intelligent micro-site selection workflow method for wind farm based on geographical scene. Firstly,the undulation and slope are automatically extracted using the abrupt-point analysis method. On this basis,according to the design principle of the wind farm,two sets of automatic layout schemes based on flat and complex terrain are provided. Secondly,the wind energy resources are evaluated,and the long-term NCEP reanalysis data is used to obtain the annual average wind speed,wind power and prevailing wind direction. Finally,in the flat terrain,wind turbine layout introduces geographical elements such as roughness and obstacles,and the wind turbine arrangement is selected according to the prevailing wind direction,in the complex terrain,the hydrological analysis and neighborhood analysis principle are used to extract the geographical elements such as the peak,the ridge line and the windward slope,and these are introduced into the wind farm micro-site selection model as wind turbine layout parameters. All tasks of the entire workflow are programmed to automatically execute the micro-site selection workflow in the GIS environment by python,which greatly improves the efficiency of the micro-site selection of the wind farm. The feasibility of this study is proved by the comparison of the wind farm of Jianshanliangzi.

关 键 词：风电场 地理场景 微观选址 智能化 工作流 

分 类 号：P208[天文地球—地图制图学与地理信息工程]