摘要
空间负荷的研究对配电网规划有重要意义,现有的研究偏重于对空间负荷预测的研究,对各类空间负荷分布规律的研究尚不充分。为此,提出一种基于地理特征提取与非参数核密度估计的空间负荷分布规律研究方法。按某地的实际用地生成功能小区,提取功能小区的地理特征信息,并给定其用地类型;然后根据提取的信息,应用聚类算法对功能小区分类;利用非参数核密度估计方法,提取不同地域类别、不同用地类型功能小区负荷密度的典型分布特征;对分布特征进行分析,得出研究区域内各类空间负荷的分布规律。通过对某一线城市某地域中各类空间负荷分布规律的仿真,验证了该方法的合理性和实用性。
The research on spatial load is of great significance to distribution network planning.The existing research focuses on the research on spatial load prediction,but the research on various spatial load distribution rules is not sufficient.Hence,a method of spatial load distribution based on geographic feature extraction and nonparametric kernel density estimation is proposed.The functional plot is generated according to the actual land use of a place,the geographic feature information of the functional plot is extracted,and the land use type is given.According to the extracted information,a clustering algorithm is applied to classify the functional areas.After that,by using the nonparametric kernel density estimation method,the typical distribution characteristics of load density in functional plots of different types and land use types are extracted.The distribution characteristics are analyzed to obtain the distribution law of various spatial loads in the research area.The rationality and practicability of this method are verified by the simulation of various spatial load distribution rules in a certain region of a first⁃tier city.
作者
邵宇鹰
彭鹏
邓燕国
王冰
SHAO Yuying;PENG Peng;DENG Yanguo;WANG Bing(State Grid Shanghai Electric Power Company,Shanghai 200122,China;Nanjing Kuanta Information Technology Co.,Ltd.,Nanjing 211100,China)
出处
《电子设计工程》
2021年第5期174-179,共6页
Electronic Design Engineering
基金
国网上海市电力公司项目(52097018000G)。
关键词
空间负荷分布规律
地理特征提取
模糊C-均值聚类
非参数核密度估计
spatial load distribution law
geographic feature extraction
fuzzy C⁃means clustering
nonparametric kernel density estimation
