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光伏发电短期预测研究进展综述
引用本文:荆博,谭伦农,钱政,裴岩,王婧怡. 光伏发电短期预测研究进展综述[J]. 电测与仪表, 2017, 54(12). DOI: 10.3969/j.issn.1001-1390.2017.12.001
作者姓名:荆博  谭伦农  钱政  裴岩  王婧怡
作者单位:1. 江苏大学 电气信息工程学院,江苏 镇江,212013;2. 北京航空航天大学 仪器科学与光电工程学院,北京,100191
摘    要:随着光伏电站装机容量的迅速增加,光伏发电功率短期预测对电力部门合理规划调度用电起到了重要作用。文中对近年来国内外光伏发电短期预测的研究进展进行了综述,分析、讨论了间接预测方法和直接预测方法的优势与不足。结果表明:间接预测方法的预测精度高于直接预测方法,而直接预测方法的优势在于无需建立光照幅度预测模型,建模较为容易,其中大量使用的混合预测模型具备更好的适应性和容错性。此外,天气变化是影响光伏发电功率短期预测准确性的一个关键因素,研究人员为此提出多种解决方法以降低天气状况对功率预测的影响。

关 键 词:光伏发电  光照幅度  短期预测  直接预测方法  间接预测方法
收稿时间:2016-04-18
修稿时间:2016-04-18

An overview of research progress of short-term photovoltaic forecasts
Jing Bo,Tan Lunnong,Qian Zheng,Pei Yan and Wang Jingyi. An overview of research progress of short-term photovoltaic forecasts[J]. Electrical Measurement & Instrumentation, 2017, 54(12). DOI: 10.3969/j.issn.1001-1390.2017.12.001
Authors:Jing Bo  Tan Lunnong  Qian Zheng  Pei Yan  Wang Jingyi
Affiliation:School of Electrical and Information Engineering,Jiangsu University,School of Electrical and Information Engineering,Jiangsu University,School of Instrumentation Science and Opto-electronics Engineering, Beihang University,School of Instrumentation Science and Opto-electronics Engineering, Beihang University,School of Instrumentation Science and Opto-electronics Engineering, Beihang University
Abstract:With the increasing of installed capacity of photovoltaic power plants,the short-term photovoltaic forecast is playing an important role in electricity planning and scheduling of power system.This paper reviews the recent progress on the research of short-term photovoltaic forecasts,and discusses the advantages and limitation of direct and indirect prediction methods respectively.The result shows that the accuracy of indirect prediction is better than that of direct prediction.Without the irradiance prediction modeling,the direct prediction is relatively simple,in which the widely-used hybrid forecast method is much more adaptive and fault-tolerant.In addition,this paper also concludes that weather change is a crucial factor that affects the accuracy of short-term photovoltaic forecasts,and proposes several solutions to reduce the impact of weather conditions on photovoltaic forecasts.
Keywords:photovoltaic  irradiance  shirt-term forecast  direct prediction method  indirect prediction method
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