Research Status and Difficulties of Ultra-short-term Prediction of Photovoltaic Power

被引：2

作者：

Kong, Hongmei ^{[1
]}

Sui, Huibin ^{[1
]}

Tang, Jingxuan ^{[1
]}

Zhang, Peng ^{[1
]}

机构：

[1] Shandong Univ, Sch Elect Engn, Jinan, Shandong, Peoples R China

来源：

2018 4TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION | 2019年 / 252卷

关键词：

D O I：

10.1088/1755-1315/252/3/032094

中图分类号：

T [工业技术];

学科分类号：

08 ;

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.

引用

页数：9

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