袁茜, 卢毅, 季一润, 宋鹏, 胡应宏, 槐青, 潘恒毅. 柔性直流换流站可靠性分析及状态检修决策优化[J]. 电网技术, 2023, 47(12): 5068-5076. DOI: 10.13335/j.1000-3673.pst.2022.2050
引用本文: 袁茜, 卢毅, 季一润, 宋鹏, 胡应宏, 槐青, 潘恒毅. 柔性直流换流站可靠性分析及状态检修决策优化[J]. 电网技术, 2023, 47(12): 5068-5076. DOI: 10.13335/j.1000-3673.pst.2022.2050
YUAN Xi, LU Yi, JI Yirun, SONG Peng, HU Yinghong, HUAI Qing, PAN Hengyi. Reliability Analysis and Condition Maintenance Decision Optimization of Flexible DC Converter Stations[J]. Power System Technology, 2023, 47(12): 5068-5076. DOI: 10.13335/j.1000-3673.pst.2022.2050
Citation: YUAN Xi, LU Yi, JI Yirun, SONG Peng, HU Yinghong, HUAI Qing, PAN Hengyi. Reliability Analysis and Condition Maintenance Decision Optimization of Flexible DC Converter Stations[J]. Power System Technology, 2023, 47(12): 5068-5076. DOI: 10.13335/j.1000-3673.pst.2022.2050

柔性直流换流站可靠性分析及状态检修决策优化

Reliability Analysis and Condition Maintenance Decision Optimization of Flexible DC Converter Stations

  • 摘要: 柔直换流站是柔性直流输电系统中的关键一环,其可靠性直接影响柔性直流输电系统的运行水平。首先对柔直换流站进行拓扑结构分析和设备分类,重点关注关键设备,针对柔直换流阀,结合可靠性框图法和马尔可夫过程分析其子模块故障状态转移过程,针对混合式直流断路器和换流变压器,综合考虑其多级劣化状态、故障和维修状态,结合健康指数理论和威布尔分布得到考虑状态差异的时变故障率模型,进而基于马尔可夫过程进行可靠性计算。在此基础上,对柔直换流站进行分区,并采用通用生成函数方法应用相乘的组合算子计算柔直换流站整体的能量可用率。状态检修决策以能量可用率为优化目标,以检修方式和巡检周期为决策变量。算例以某示范工程中柔直换流站为背景,计算分析了关键设备及柔直换流站整体的可靠性参数,并对比分析了不同检修方式和巡检周期下柔直换流站能量可用率和停运损失的变化情况,研究可为柔直换流站的检修决策和巡检安排提供策略参考。

     

    Abstract: The reliability of the flexible DC converter station, a key sector in the flexible DC transmission system, directly affects the operation level of the flexible DC transmission system. Firstly, the topology analysis and the equipment classification of the FDC converter station are carried out, focusing on the key equipment. For the converter valve, the sub-module fault state transfer process is analyzed by combining the reliability block diagram and the Markov process. As to the hybrid DC circuit breaker and the converter transformer, the multi-level deterioration states, the fault and maintenance states are taken into account. The health index theory and the Weibull distribution are combined to obtain a time-varying failure rate model considering the state differences and the reliability calculation is carried out based on the Markov process. Based on this, the partitioning of the flexible DC converter station is carried out and the energy availability of the flexible DC converter station as a whole is calculated by a universal generating function using a combination of the multiplicative operators. The decision of the condition maintenance is performed by taking the energy availability rate as the optimization objective, which is to be converted into outage losses, and the maintenance mode and the inspection period as the decision variables. One example based on a demonstration project in which the reliability of the key equipment and the overall reliability parameters of a straight converter station are calculated and analyzed. The changes in the energy availability and the outage losses of the station are compared and analyzed for different maintenance methods and inspections.

     

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