期刊文献+

光伏发电功率预测方法的探索 被引量:21

Physical Method for Photovoltaic Power Prediction
原文传递
导出
摘要 首先,分析了影响光伏电站输出功率的各类气象因素,再根据物理原理建立了气象因素与光伏电池板电气特性之间的关系,最后,通过光伏电池的二极管模型及逆变器损耗模型实现了对光伏电站输出功率的预测,并根据某光伏电站的实测数据对功率方法进行验证。预测结果表明,该方法有较高的预测精度,能够满足工程应用的要求,且不受历史数据的限制,可用于新建光伏电站的功率预测。 The various meteorological factors affecting the output power of the photovohaic ( PV ) power station are ana- lyzed at first. Then the relationship between the meteorological factors and electrical characteristics of PV panel is for- mulated on the basis of physical theory. Finally, the output power of PV station is predicted using the PV cell diode model and the inverter loss model, and the measured data from an actual PV station are used to verify the prediction. The prediction results show that the method can improve the prediction precision and meet the requirements of practi- cal application. Besides, the method is not restricted by the historical data, adaptable to the power prediction of new- ly-built PV power stations.
出处 《华东电力》 北大核心 2013年第2期380-384,共5页 East China Electric Power
基金 国家科技支撑计划重大项目(2011BAA07B06)~~
关键词 光伏电站 功率预测 物理方法 PV power station power prediction physical method
  • 相关文献

参考文献8

  • 1DREWS A, DE KEIZER A C. Monitoring and remote failure detection of grid-connected PV systems based on satellite observations. Solar Energy 81 (2007) : 548 - 564.
  • 2LORENZ E, et al. Benchmarking of different approaches to forecast solar irradience, in 24th European Photovohaic Solar Energy Conference. Hamburg, Germany, 2009.
  • 3Solar Radiation Forecasts for the USA. Proe. of the 23^rd. European PV Conference, 1.9 -4.9 2008, Valencia, Spain.
  • 4YONA A, SENJYU T, FUNABASHI T. Application of recurrent neural network to short-term-ahead generating power forecasting for photovohaic systemiC]. IEEE Power Engineering Society General Meeting, 2007.
  • 5卢静,翟海青,刘纯,王晓蓉.光伏发电功率预测统计方法研究[J].华东电力,2010,38(4):563-567. 被引量:94
  • 6栗然,李广敏.基于支持向量机回归的光伏发电出力预测[J].中国电力,2008,41(2):74-78. 被引量:130
  • 7WENHAM S R, GREEN M A. Applied photovoltaics, earthscan in the UK and USA[M]. 2007.
  • 8杨旭,王兆安.零电压过渡PWM软开关电路的损耗计算[J].电力电子技术,1999,33(1):29-32. 被引量:22

二级参考文献25

共引文献216

同被引文献261

引证文献21

二级引证文献1100

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部