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大型光伏电站汇集系统内线路分支密集,架空线与电缆共存,故障跳闸后巡线困难.而分布式与集中式并网光伏发电系统在拓扑和控制上有显著区别,造成相同电压等级的配电网故障定位方法在光伏电站内难以适用.为此,该文提出了一种符合站内实际运行控制的汇集系统故障定位方法.首先,结合现场逆变器控制,对站内故障电流特征进行分析.然后,利用光伏发电单元在不对称电压条件下不输出负序电流的特点,将故障后稀疏测点对应的节点负序电压方程和压缩感知理论相结合,利用贝叶斯压缩感知重构算法求解节点负序注入电流向量来进行故障定位.所提算法对测量数据无同步要求,所需数据较短.基于68节点系统的仿真数据表明,所提方法能够有效定位故障节点,且不受故障类型、过渡电阻等因素影响,抗噪能力强.“,”Large-scale photovoltaic (PV) power plants can be formed of numerous braches and laterals interconnected by cables and overhead power.When a fault occurs,it is hard to locate the fault.The conventional fault location methods for distribution networks are challenging to apply within the PV power plants,because centralized PV units have the different structure and controls from those of distributed PV.Therefore,a new fault location method was proposed.With the control adopted in PV inverters,the characteristics of the fault currents within the plant were analyzed firstly.Then,exploiting that PV units provide no negative-sequence currents,the node negative-sequence voltage equations which consist of the rows with measurements,was integrated with the compressive sensing theory.The Bayesian compressive sensing reconstruction algorithm was used to recover the sparse injection current vector,in which the nonzero element was used to locate the fault.The proposed method does not require the synchronous measuring information and need only short data.The results from a simulation system with 68 nodes indicate that this method can locate the faults efficiently and immune to fault types and fault resistances,as well as has a good anti-noise performance.