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兵工学报 ›› 2025, Vol. 46 ›› Issue (S1): 250514-.doi: 10.12382/bgxb.2025.0514

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无人平台综合电力系统连锁故障风险评估模型及预防策略

叶志浩1, 张雪妍1,*(), 吴京2, 骆希1   

  1. 1 海军工程大学, 湖北 武汉 430000
    2 91991 部队, 浙江 舟山 316000
  • 收稿日期:2025-06-17 上线日期:2025-11-06
  • 通讯作者:

Risk Assessment Model and Prevention Strategy of Cascading Failure in Unmanned Platform Integrated Power System

YE Zhihao1, ZHANG Xueyan1,*(), WU Jing2, LUO Xi1   

  1. 1 Naval University of Engineering, Wuhan 430033,Hubei, China
    2 91991 of PLA Unit, Zhoushan 316000,Zhejiang, China
  • Received:2025-06-17 Online:2025-11-06

摘要:

综合电力系统的发电机组、输电线路和配电网络都集成在一个相对狭小的空间里,各个设备之间耦合程度高,使得连锁故障的传播速度更快。针对运行环境相对恶劣、工况转换较为频繁的综合电力系统连锁故障分析,基于模式搜索理论和风险评估理论,建立了无人平台综合电力系统连锁故障风险评估模型,并对典型中压直流综合电力系统进行风险评估,对比分析了运行工况和可靠性参数对系统连锁故障风险的影响,验证了风险评估模型的合理性。以风险评估结果为依据,针对系统薄弱环节,从优化设备结构角度制定了相应的预防策略,电磁暂态时域仿真和实验平台物理实验验证了所提连锁故障预防策略的有效性。

关键词: 无人平台, 综合电力系统, 连锁故障, 风险评估, 智能化管理, 预防策略

Abstract:

In a typical integrated power system (IPS),the generator sets,transmission lines and distribution network are integrated in a relatively confined space,which leads to the tight coupling between the devices and accelerates the propagation of cascading failures.A risk assessment model of cascading failures in unmanned platform IPS is established based on pattern search theory and risk assessment theory,which is used to analyze the cascading failure of IPS under severe operating environment and frequent mode switching.Based on the model,a risk assessment is performed on a typical MVDC IPS,and the influences of different operation conditions and reliability parameters on the cascading failure risk are also analyzed.The proposed risk assessment model is validated through risk assessment and anlysis.Based on the risk assessment results,the weak links of the system are identified,and the corresponding prevention strategies are proposed by optimizing the equipment structure.The proposed cascading failure prevention strategies are verified through both simulation and experiment.

Key words: unmanned platform, integrated power system, cascading failure, risk assessment, intelligent management, prevention strategy