马铭遥, 熊鹏博, 孟雪松, 李飞, 张兴. 基于光伏并网逆变器直流过压故障的暂态分析及故障成因定位[J]. 高电压技术, 2021, 47(1): 187-197. DOI: 10.13336/j.1003-6520.hve.20201095
引用本文: 马铭遥, 熊鹏博, 孟雪松, 李飞, 张兴. 基于光伏并网逆变器直流过压故障的暂态分析及故障成因定位[J]. 高电压技术, 2021, 47(1): 187-197. DOI: 10.13336/j.1003-6520.hve.20201095
MA Mingyao, XIONG Pengbo, MENG Xuesong, LI Fei, ZHANG Xing. Transient Analysis and Fault Cause Location of DC Overvoltage Fault Based on
Photovoltaic Grid Connected Inverter[J]. High Voltage Engineering, 2021, 47(1): 187-197. DOI: 10.13336/j.1003-6520.hve.20201095
Citation: MA Mingyao, XIONG Pengbo, MENG Xuesong, LI Fei, ZHANG Xing. Transient Analysis and Fault Cause Location of DC Overvoltage Fault Based on
Photovoltaic Grid Connected Inverter[J]. High Voltage Engineering, 2021, 47(1): 187-197. DOI: 10.13336/j.1003-6520.hve.20201095

基于光伏并网逆变器直流过压故障的暂态分析及故障成因定位

Transient Analysis and Fault Cause Location of DC Overvoltage Fault Based on
Photovoltaic Grid Connected Inverter

  • 摘要: 光伏并网逆变器直流电容是交直流功率耦合的关键器件,运行过程中容易发生过压故障且原因不唯一。为了鉴别不同的故障成因,需对逆变器的故障暂态进行研究。首先论述了双闭环控制中相关控制量的演变规律,进而推导在系统失控下,空间矢量脉宽调制的每个载波周期占空比变化的异常情况,揭示变量劣化是非稳态条件下三相电流非预期变化的主要原因。对3种不同因素诱导的变量劣化并最终导致过压故障的工况进行仿真分析和实验验证,并利用虚拟特征量的差异进行故障成因的定位。研究结果表明,所采用的故障定位方法能有效判断故障成因,且无须添加传感器,具有一定的工程应用价值。

     

    Abstract: The DC capacitor of photovoltaic grid-connected inverter is a key component of AC and DC power coupling, and the cause of its overvoltage fault is not unique. In order to identify different fault causes, the transient state of the inverter needs to be studied. Consequently, we discuss the evolution of relevant quantities in the double-closed-loop control, and further investigate the abnormality of duty cycle in each carrier cycle based on the space vector pulse width modulation (SVPWM) when the system is out of control. It is revealed that the variable degradation is the main reason of unexpected changes of three-phase current. The simulation and experiment of the DC overvoltage fault caused by three different factors are performed, and the difference of virtual feature is adopted to locate fault causes. The results show that the fault location method can be adopted to effectively determine the fault causes without adding sensors, which has a certain engineering application value.

     

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