标题:Research Status and Difficulties of Ultra-short-term Prediction of Photovoltaic Power
作者:Kong, Hongmei; Sui, Huibin; Tang, Jingxuan; Zhang, Peng
通讯作者:Sui, HB
作者机构:[Kong, Hongmei; Sui, Huibin; Tang, Jingxuan; Zhang, Peng] Shandong Univ, Sch Elect Engn, Jinan, Shandong, Peoples R China.
会议名称:4th International Conference on Environmental Science and Material Application (ESMA)
会议日期:DEC 15-16, 2018
来源:2018 4TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION
出版年:2019
卷:252
期:3
DOI:10.1088/1755-1315/252/3/032094
摘要:As photovoltaic power generation capacity continues to increase, the impact of its random and volatility power generation characteristics on the power system cannot be ignored. Studying the ultra-short-term prediction model of photovoltaic power generation can provide strong support for safe and stable operation of power grids and power grid dispatching. In this paper, the research status and difficulties of photovoltaic power ultra-short-term prediction are comprehensively discussed. Firstly, various factors affecting photovoltaic power generation are introduced. Then, the application and technical difficulties of ground-based cloud map and numerical weather prediction in prediction model are summarized. The status quo of power ultra-short-term prediction research, and finally put forward the need for perfect direction of ultra-short-term prediction of photovoltaic power.
收录类别:CPCI-S;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070473302&doi=10.1088%2f1755-1315%2f252%2f3%2f032094&partnerID=40&md5=db93e28ad01380914b9e8b55aab13895
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