何雅静,汪登

• 1:武汉纺织大学数学与计算机学院
• 2:复旦大学信息科学与工程学院

摘要(Abstract)：

神经网络具有非线性、非局限性、非常定性、非凸性等特点,由于其具有自学习、联想存储及高速寻找优化解的能力,常被应用在识别、预测等方面。该文对人工神经网络在光伏预测、系统监测、故障检测、系统优化等方面的应用进行了简述说明。

关键词(KeyWords)： 人工神经网络;监测;故障检测;光伏预测

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 何雅静,汪登

参考文献(References)：

• [1]张文瑾.光伏电站远程监控系统的研究与实现[D].扬州:扬州大学,2014.
• [2]邹恒.基于神经网络和专家系统的连铸漏钢预报系统[D].重庆:重庆大学,2009.
• [3]陈宏达.高光谱遥感图像的降维与分类研究[D].上海:复旦大学,2013.
• [4]杨春夏.基于人工植物算法求解随机规划[D].太原:太原科技大学,2012.
• [5]Yona A,Senjyu T,Funabashi T,et al.Decision technique of solar radiation prediction applying recurrent neural network for short-term ahead power output of photovoltaic system[J].Smart Grid&Renewable Energy,2013,4(6A):32-38.
• [6]Ameen A M,Pasupuleti J,Khatib T.Modeling of photovoltaic array output current based on actual performance using artificial neural networks[J].Journal of Renewable and Sustainable Energy,2015,7(5):053107.
• [7]Mellit A,Pavan A M.A 24-h forecast of solar irradiance using artificial neural network:Application for performance prediction of a grid-connected PV plant at Trieste,Italy[J].Solar Energy,2010,84(5):807-821.
• [8]Cao J,Lin X.Study of hourly and daily solar irradiation forecast using diagonal recurrent wavelet neural networks[J].Energy Conversion&Management,2008,49(6):1396-1406.
• [9]Zhou H,Sun W,Liu D,et al.The Research of daily total solarradiation and prediction method of photovoltaic generation based on wavelet-neural Network[A].Power and Energy Engineering Conference[C].IEEE,2011.
• [10]海涛,梁挺兴,黄曲达,等.一种高效的光伏监控方案及发电量预测[J].计算机测量与控制,2015,(8):2637-2639.
• [11]赵巍巍,王洪诚,戴安全,等.太阳能光伏发电系统中蓄电池SOC预测模型及监控方法研究[J].电测与仪表,2014,(16):41-45.
• [12]张钲浩.基于对角递归神经网络的光伏电站数据采集监测系统[D].扬州:扬州大学,2010.
• [13]肖慧明.基于改进BP神经网络的光伏组件状态监控研究与实现[J].信息系统工程,2014,(12):131-132.
• [14]兰琴丽,章乐多.BP神经网络在光伏发电系统故障诊断中的应用[J].通信电源技术,2011,(4):38-40.
• [15]张文瑾,葛强,黄澄扬,等.基于BP神经网络的光伏阵列智能故障诊断[J].扬州大学学报:自然科学版,2015,(1):32-35.
• [16]刘玉英,冯英伟.BP神经网络光伏组件在线故障诊断系统开发[J].电源技术,2014,(6):1088-1089.
• [17]王元章,吴春华,周笛青,等.基于BP神经网络的光伏阵列故障诊断研究[J].电力系统保护与控制,2013,(16):108-114.
• [18]李练兵,张秀云,王志华,等.故障树和BAM神经网络在光伏并网故障诊断中的应用[J].电工技术学报,2015,(2):248-254.
• [19]Mellit A,Benghanem M,Kalogirou S A.Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network:Proposition for a new sizing procedure[J].Renewable Energy,2007,32(2):285-313.
• [20]Su H,Bian J.Maximum power point tracking algorithm based on fuzzy neural networks for photovoltaic generation system[A].International Conference on Computer Application and System Modeling[C].IEEE,2010.
• [21]Mellit A,Kalogirou S A,Drif M.Application of neural networks and genetic algorithms for sizing of photovoltaic systems[J].Renewable Energy,2010,35(12):2881-2893.
• [22]Ashhab M S S.Optimization and modeling of a photovoltaic solar integrated system by neural networks[J].Energy Conversion&Management,2008,49(11):3349-3355.