电器与能效管理技术Issue(1)：25-32,8.DOI:10.16628/j.cnki.2095-8188.2019.01.006
基于改进K-均值的面向风光海的配电网典型运行场景生成
Typical Operating Scenario Generation of Distribution System Containing Wind Power, Solar Energy and Tidal Power with Improved K-means
摘要
Abstract
Firstly, this paper models the power system with wind power, solar energy and tidal power, and obtains the time series curve of renewable energy output and load. Secondly, the density peak clustering is used to improve K-means clustering, which avoids the problem that initial clustering centers and their number of the original K-means cannot be determined. Lastly, based on the improved K-means clustering algorithm, wind power generation, photovoltaic power generation, tidal power generation and time series load are synchronously clustered. At different time scales, typical operation scenarios of power system are generated. The results verify the feasibility of the improved algorithm, and it is more convergent than the traditional K-means clustering.关键词
可再生能源发电/密度峰值/K-均值/典型运行场景Key words
renewable energy generation/density peak/K-means/typical operation scenarios分类
信息技术与安全科学引用本文复制引用
尤锭军,余嘉宽,徐政,杨春梅,林敏,吴志..基于改进K-均值的面向风光海的配电网典型运行场景生成[J].电器与能效管理技术,2019,(1):25-32,8.基金项目
国网浙江省电力有限公司项目(5211NB160008) （5211NB160008）
