山东农业大学学报（自然科学版）Issue(1)：83-87,5.DOI:10.3969/j.issn.1000-2324.2016.01.017
光伏发电短期功率预测模型与电站监控系统设计
The Short-term Prediction Model of Photovoltaic Grid Power Generation and the Design for Monitoring System of a Power Station
林嵩1
作者信息
- 1. 浙江工业职业技术学院，浙江 绍兴 312000
- 折叠
摘要
Abstract
At present, there is a large fluctuation and randomicity in output power of the large-scale photovoltaic (pv) grid power generation system. To accurately predict the output power in order to solve problems of peak regulation and schedule in photovoltaic grid, this paper set up a low cost small meteorological station real-time monitoring the environment parameters such as radiation intensity, temperature, humidity, wind direction, wind speed etc. and a monitoring system to monitor the operation condition of the photovoltaic power station and gather the data of meteorology to apply to the identification of the meteorological conditions and the prediction model of a short-term power in the photovoltaic power generation system of wavelet neural network so as to realize the accurate prediction for an output power in the large-scale photovoltaic (pv) grid power system and it could have an important significance to generate and apply in a large-scale photovoltaic (pv) grid power generation system.关键词
光伏发电系统/功率预测模型/电站监控系统Key words
Photovoltaic power generation system/power prediction model/photovoltaic power station monitoring system分类
信息技术与安全科学引用本文复制引用
林嵩..光伏发电短期功率预测模型与电站监控系统设计[J].山东农业大学学报（自然科学版）,2016,(1):83-87,5.
