通信电源技术
通信電源技術
통신전원기술
TELECOM POWER TECHNOLOGIES
2011年
4期
38-40
,共3页
故障诊断%BP神经网络%光伏发电
故障診斷%BP神經網絡%光伏髮電
고장진단%BP신경망락%광복발전
fault diagnosis%BP neural network%solar photovoltaic
介绍了并网光伏发电系统的故障诊断模式和故障原因,以及BP神经网络的结构与学习算法。针对太阳能并网光伏发电系统工作过程中可能出现的故障,提出了一种基于BP神经网络的故障诊断方法。测试结果表明了该方法的有效性和可能性,达到了预期的结果,可以用于并网光伏发电系统的故障诊断。
介紹瞭併網光伏髮電繫統的故障診斷模式和故障原因,以及BP神經網絡的結構與學習算法。針對太暘能併網光伏髮電繫統工作過程中可能齣現的故障,提齣瞭一種基于BP神經網絡的故障診斷方法。測試結果錶明瞭該方法的有效性和可能性,達到瞭預期的結果,可以用于併網光伏髮電繫統的故障診斷。
개소료병망광복발전계통적고장진단모식화고장원인,이급BP신경망락적결구여학습산법。침대태양능병망광복발전계통공작과정중가능출현적고장,제출료일충기우BP신경망락적고장진단방법。측시결과표명료해방법적유효성화가능성,체도료예기적결과,가이용우병망광복발전계통적고장진단。
The fault diagnosis modes and diagnosis causation of grid-connected solar photovoltaic systems were described,and the structure and algorithm of BP neural network were also described.Aimed at the faults of grid-connected solar photovoltaic system,method of fault diagnosis based on BP neural network has been brought out in this paper,the diagnosis results indicate that the presented diagnosis method is validity and feasibility and attains the expected results,which can be applied to fault diagnosis of grid-connected solar photovoltaic system.
