Reliability Engineering & System Safety最新文献_第10页

Enhancing route planning framework for indoor emergencies involving toxic gas release: Model and application 强化室内有毒气体释放突发事件路径规划框架：模型与应用

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2026-01-05 DOI: 10.1016/j.ress.2026.112196

Zhengliang Zhu , Wenmei Gai , Weiwang Chen

Route calculation of emergencies involving toxic gas release is critically contingent upon a route planning framework now strained by building complexity and dynamic incidents. This study proposes an enhanced route planning framework that optimizes the indoor network graph structure, cost model, and planning algorithm, to address as many limitations as possible in emergency response strategies. A modified Constrained Delaunay Triangulation (m-CDT) is employed to refine the topological indoor network graph (TING), ensuring better alignment with human navigation behavior and structural characteristics. Subsequently, a multi-objective emergency route planning (MERP) method is developed based on a Coupled Cost Function (CCF), which integrates an alternative risk set (ARS) and time requirement metrics. The ARS facilitates the selection of adaptive risk factors specific to accident scenarios. Furthermore, the MERP incorporates a bidirectional optimization mechanism (BDOM) utilizing prioritized scheduling to minimize evacuation conflicts. Validation in a two-storey chlorinated paraffin facility demonstrates that the optimized 3D-TING overcomes the limitations of traditional topological approaches. By establishing an active risk avoidance paradigm, the proposed method reduces the cumulative risk of planned routes by 32.34%, while the BDOM can eliminates potential congestion. Crucially, time preference analysis identifies an optimal equilibrium point, indicating that in catastrophic environments, a strategic balance between rescue risk and exposure duration, rather than a singular pursuit of speed, is essential. This framework provides a robust theoretical reference for developing safety strategies in related domains.

涉及有毒气体释放的紧急情况的路线计算关键取决于路线规划框架，现在由于建筑复杂性和动态事件而紧张。本研究提出一种改进的路线规划框架，优化室内网络图结构、成本模型和规划算法，以尽可能多地解决应急响应策略的局限性。采用改进的约束Delaunay三角剖分（m-CDT）对拓扑室内网络图（TING）进行优化，确保更好地符合人类导航行为和结构特征。在此基础上，提出了一种基于耦合成本函数（CCF）的多目标应急路径规划（MERP）方法，该方法集成了备选风险集（ARS）和时间需求指标。ARS有助于选择适合事故情况的风险因素。此外，MERP还结合了双向优化机制（BDOM），利用优先调度来最大限度地减少疏散冲突。在两层氯化石蜡设施中的验证表明，优化的3D-TING克服了传统拓扑方法的局限性。该方法通过建立主动风险规避范式，将规划路径的累积风险降低了32.34%，而BDOM可以消除潜在的拥塞。至关重要的是，时间偏好分析确定了一个最优平衡点，表明在灾难性环境中，救援风险和暴露时间之间的战略平衡，而不是一味追求速度，是至关重要的。该框架为相关领域的安全策略制定提供了强有力的理论参考。

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引用次数: 0

Multi-hazard considerations for seismic fragility assessment of different era-designed highway bridges under earthquake-induced flow-type landslides 地震诱发流型滑坡作用下不同时代设计公路桥梁地震易损性评价的多灾害考虑

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2026-01-05 DOI: 10.1016/j.ress.2026.112195

Nouman Aijaz, Jayadipta Ghosh

Highway bridges located near hill slopes in regions characterized by moderate to high seismicity are often under the joint threat of earthquakes and subsequent earthquake-induced landslides. While numerous instances of bridge damage under this multi-hazard scenario have been documented in the past, existing literature falls short on multiple fronts. These include lack of consideration of conditional dependence between the hazards, static modeling of landslide impact instead of dynamic analysis, assumption of a deterministic landslide profile that disregards relevant uncertainties, and neglecting the influence of structural design specifications on the bridge response. The proposed framework develops bridge models that capture both flexural and shear failure modes, along with landslide run-out analysis to estimate debris-flow-induced forces. Nonlinear time-history analyses are then employed to evaluate bridge responses under sequential seismic and dynamic landslide loading. Fragility curves are generated to assess bridge vulnerability across a range of hazard intensities, and the influence of design code evolution is critically examined. The findings from this study indicate that under certain circumstances, additional landslide loads following an earthquake event exacerbates the structural performance, and also highlights the broader need to account for multi-hazards and design era differences in fragility assessments to enhance infrastructure resilience in high-risk areas.

在中高地震活动性地区，靠近山坡的公路桥梁经常受到地震和随后的地震诱发滑坡的共同威胁。虽然过去已经记录了许多在这种多重危害情况下桥梁损坏的实例，但现有的文献在多个方面都存在不足。这些问题包括缺乏对灾害之间条件依赖性的考虑，对滑坡影响进行静态建模而不是动态分析，假设一个确定性的滑坡剖面而忽略了相关的不确定性，以及忽略了结构设计规范对桥梁响应的影响。所提出的框架开发了桥梁模型，捕捉弯曲和剪切破坏模式，以及滑坡运行分析，以估计泥石流诱导的力。然后采用非线性时程分析方法对桥梁在连续地震和动力滑坡荷载作用下的响应进行了评价。生成易损性曲线来评估桥梁在一系列危险强度下的易损性，并严格检查设计规范演变的影响。本研究的结果表明，在某些情况下，地震事件后额外的滑坡荷载会加剧结构性能，同时也强调了在脆弱性评估中考虑多重灾害和设计时代差异的更广泛需求，以增强高风险地区基础设施的弹性。

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引用次数: 0

A tri-level cybersecurity risk assessment model of cyber-physical power systems under uncertain coordinated attacks 不确定协同攻击下网络物理电力系统的三级网络安全风险评估模型

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2026-01-05 DOI: 10.1016/j.ress.2026.112189

Xiangxing Kong , Zhigang Lu , Shixing Ding , Jiangyong Zhang , Xiaoqiang Guo , Jiangfeng Zhang

With the development of new intelligent power systems, cyber-physical power systems (CPPS) are facing a significant risks from coordinated attacks. This paper proposes a novel attack risk assessment model to quantify the coordinated attack risk of CPPS under uncertain coordinated attack scenarios. Firstly, based on the single commodity flow theory and the DC power flow model, a cyber-energy flow model is proposed to characterize the topological and functional interactions between the cyber systems and the power systems. Secondly, an uncertain coordinated cyber-physical attack model against communication links and power lines is constructed considering the dynamic N-k attack criterion to describe the coordinated attack mechanism on CPPS. Then, based on the probability distribution norm constraints of uncertain coordinated attack scenarios and the cyber-energy flow model, a tri-level cybersecurity risk assessment model for CPPS is proposed with the probability-attacker-defender optimization framework. Finally, four risk assessment indexes are proposed to quantitatively assess the cybersecurity risks of CPPS under uncertain coordinated attacks. Simulation results on IEEE RTS-79 and IEEE RTS-96 systems verify the effectiveness of the proposed risk assessment model.

随着新型智能电力系统的发展，网络物理电力系统（CPPS）面临着协同攻击的重大风险。针对不确定协同攻击场景下CPPS的协同攻击风险，提出了一种新的攻击风险评估模型。首先，基于单商品流理论和直流潮流模型，提出了表征网络系统与电力系统之间拓扑和功能相互作用的网络能量流模型；其次，考虑动态N-k攻击准则，构建了通信链路和电力线的不确定协同攻击模型，描述了通信链路和电力线的协同攻击机制；然后，基于不确定协同攻击场景的概率分布范数约束和网络能量流模型，提出了基于概率-攻击-防御优化框架的CPPS三级网络安全风险评估模型。最后，提出了四个风险评估指标，定量评估不确定协同攻击下CPPS的网络安全风险。在IEEE RTS-79和IEEE RTS-96系统上的仿真结果验证了所提风险评估模型的有效性。

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引用次数: 0

Enhanced metamodeling strategy for uncertainty quantification and reliability verification in heterogeneous connected and automated vehicle platoon control models 基于改进元建模策略的异构互联自动车辆排控模型不确定性量化与可靠性验证

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2026-01-03 DOI: 10.1016/j.ress.2025.112183

Ramón Gutiérrez-Moizant, Fernando Viadero-Monasterio, Maria Jesus Lopez Boada, Beatriz Lopez Boada

Vehicle platooning can improve traffic safety, efficiency, and fuel consumption by coordinating vehicles to travel closely while maintaining safe inter-vehicle distances. The performance of a platoon depends critically on the controller model, and uncertainties can degrade control effectiveness, increasing collision risk. This paper proposes a novel methodology to verify the reliability of heterogeneous vehicle platoons under parametric uncertainties, focusing on spacing errors. The approach combines a Multiple Input Single Output (MISO) Nonlinear Autoregressive Exogenous (NARX) model with a Kriging interpolator, linking uncertain parameters to the nonlinear dynamic response of each vehicle. Two strategies are presented: one prioritizes predictive accuracy for platoons of up to five vehicles, while the other balances accuracy and computational cost for larger platoons. The metamodel structure is optimized to select the most significant regressors, maintaining high predictive performance. Validation is performed using Monte Carlo simulations, and comparisons with classical KNARX and PC-NARX models demonstrate improved scalability, efficiency, and reliability. While the current study assumes ideal PLF topology, the framework can accommodate other topologies and information delays. Furthermore, the methodology can integrate sparse sensor data, enabling potential digital twin implementations, and future work may extend it to non-parametric uncertainties such as varying road conditions or traffic disturbances.

车辆队列可以通过协调车辆在保持安全的车际距离的同时紧密行驶，从而提高交通安全、效率和燃油消耗。一个排的性能很大程度上取决于控制器模型，不确定性会降低控制效率，增加碰撞风险。本文提出了一种新的方法来验证异构车辆排在参数不确定性下的可靠性，重点关注间距误差。该方法将多输入单输出（MISO）非线性自回归外源（NARX）模型与Kriging插值器相结合，将不确定参数与每辆车的非线性动态响应联系起来。提出了两种策略：一种策略优先考虑最多5辆车的车队的预测精度，而另一种策略则平衡更大车队的准确性和计算成本。优化元模型结构，选择最显著的回归量，保持较高的预测性能。使用蒙特卡罗模拟进行验证，并与经典的KNARX和PC-NARX模型进行比较，证明了改进的可扩展性，效率和可靠性。虽然目前的研究假设了理想的PLF拓扑，但该框架可以适应其他拓扑和信息延迟。此外，该方法可以整合稀疏传感器数据，实现潜在的数字孪生，未来的工作可能会将其扩展到非参数不确定性，如不同的道路状况或交通干扰。

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引用次数: 0

Flight path planning with ground risk and noise mitigation for urban air mobility 城市空中机动性的飞行路径规划与地面风险和噪声缓解

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2026-01-03 DOI: 10.1016/j.ress.2025.112176

Yini Chen , Rao Fu , Shuai Jia

The rapid development of electric Vertical Take-off and Landing (eVTOL) technology positions Urban Air Mobility (UAM) as a promising solution to urban traffic congestion. However, reliable eVTOL operations remain challenging due to public concerns about crash risk and noise in densely populated areas. Designing efficient, safe, and low-noise flight paths is thus essential. This paper studies UAM path planning with noise and risk considerations. We propose a comprehensive ground risk assessment model and a noise assessment model tailored for low-altitude eVTOL operations. On top of this, a mixed-integer programming model is developed to optimize eVTOL routes with respect to risk and noise performance metrics. To address this problem, we propose a two-stage path planning method, which first employs a tailored Bi-directional Risk A* (BiRA*) algorithm to generate risk-aware paths, followed by a Noise Mitigation Path Refinement (NMPR) algorithm to further reduce noise exposure. Experiments on synthetic and real-world instances demonstrate our method’s accuracy, efficiency, and effective risk-noise trade-off. Beyond these scenarios, the solution framework can be extended to handle temporal constraints and dynamic obstacles, enabling conflict-free, low-risk, and low-noise multi-eVTOL operations.

电动垂直起降（eVTOL）技术的快速发展使城市空中交通（UAM）成为解决城市交通拥堵的一种有前景的解决方案。然而，由于公众对人口密集地区的坠机风险和噪音的担忧，可靠的eVTOL操作仍然具有挑战性。因此，设计高效、安全、低噪音的飞行路线至关重要。本文研究了考虑噪声和风险的UAM路径规划。提出了适合低空eVTOL操作的综合地面风险评估模型和噪声评估模型。在此基础上，开发了一个混合整数规划模型，根据风险和噪声性能指标优化eVTOL路线。为了解决这一问题，我们提出了一种两阶段路径规划方法，该方法首先采用定制的双向风险a * (BiRA*)算法来生成风险感知路径，然后采用噪声缓解路径细化（NMPR）算法来进一步降低噪声暴露。合成和现实世界实例的实验证明了我们的方法的准确性，效率和有效的风险-噪声权衡。除了这些场景之外，解决方案框架还可以扩展到处理时间约束和动态障碍，从而实现无冲突、低风险和低噪声的多evtol操作。

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引用次数: 0

Anomaly detection via Gaussian-adaptive reset observer: An entropy approach for predictive maintenance 基于高斯自适应复位观测器的异常检测：一种预测性维护的熵方法

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2026-01-03 DOI: 10.1016/j.ress.2025.112182

Shigen Gao, Simin Zeng, Tao Wen, Hongwei Wang

Intelligent operation and maintenance are increasingly recognized as critical for the advancement and reliability of modern complex systems. Among various strategies, predictive maintenance offers an alternative yet effective way to prevent potential cascading failures and mitigate severe unexpected breakdown. Nevertheless, the presence of uncertain parameters and external disturbances in considered system imposes considerable theoretical challenges on the development of feasible and reliable predictive maintenance frameworks. This paper addresses the problem of predictive maintenance in the presence of uncertainty and disturbances by proposing two key contributions. A Gaussian-adaptive reset observer is developed, incorporating Gaussian kernels into the pioneering reset observer framework to achieve rapid parameter identification convergence under possible weak excitation while preserving the original reset structure and enhancing transient performance. Additionally, an entropy-based anomaly detection framework is introduced, featuring transient and steady-state time constants, a sliding window entropy strategy, and precision-regulating parameters to ensure fast, accurate, and robust anomaly detection without requiring complete system knowledge, and actually, it is not possible to obtain complete system knowledge due to the involvement of uncertain parameters and disturbances. The proposed methods offer practical applicability for predictive maintenance in uncertain dynamic environments. The effectiveness and advantages of the proposed strategy are validated through a simulation example.

智能操作和维护越来越被认为是现代复杂系统的先进性和可靠性的关键。在各种策略中，预测性维护提供了另一种有效的方法来防止潜在的级联故障并减轻严重的意外故障。然而，考虑系统中不确定参数和外部干扰的存在，对开发可行和可靠的预测性维护框架提出了相当大的理论挑战。本文通过提出两个关键贡献来解决存在不确定性和干扰的预测性维护问题。提出了一种高斯自适应复位观测器，将高斯核融合到原有的复位观测器框架中，在保持原有复位结构的同时，实现了在可能存在的弱激励下参数辨识的快速收敛。此外，引入了一种基于熵的异常检测框架，该框架采用瞬态和稳态时间常数、滑动窗口熵策略和精度调节参数来确保快速、准确和鲁棒的异常检测，而不需要完整的系统知识，实际上，由于不确定参数和干扰的参与，无法获得完整的系统知识。提出的方法对不确定动态环境下的预测性维修具有实际的适用性。通过仿真算例验证了该策略的有效性和优越性。

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引用次数: 0

Optimal reassignment policy for a balanced system with multi-state subsystems supported by protective devices in a shock environment 冲击环境下多状态子系统保护平衡系统的最优再分配策略

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2026-01-02 DOI: 10.1016/j.ress.2026.112185

Xiaoyue Wang , Jingxuan Wang , Xian Zhao , Siqi Wang , Linlin Wang

Reassignment policies have been explored extensively due to their effectiveness in improving the reliability of systems with functionally interchangeable components. Additionally, the reliability of balanced systems with protective devices (PDs) has aroused research interests. To cope with the balanced requirement of the balanced systems with PDs, it is essential to apply the reallocation policy to extend the system lifetime. Nevertheless, no literature investigates the reallocation policy for balanced systems with PDs. Consequently, this paper investigates the optimal reassignment policy for a balanced system containing multiple subsystems with PDs. The system balance is characterized as the appropriate difference between the maximum and minimum state of subsystems. A new shock model is constructed to model the degradation of the proposed system, where the magnitude and duration of shocks are integrated to classify the shocks. The PD is activated to enhance the shock resistance of the corresponding subsystem once it degrades to a threshold. The finite Markov chain imbedding approach is utilized to derive the reliability indexes of the system. The optimal reassignment strategy and time can be derived via solving the optimization model with the objective of maximizing the system reliability. Finally, a practical example is presented to verify the proposed model.

由于重新分配策略在提高具有功能可互换组件的系统的可靠性方面的有效性，因此对其进行了广泛的探索。此外，带保护装置的平衡系统的可靠性也引起了人们的研究兴趣。为了满足具有pd的均衡系统的均衡需求，必须应用重新分配策略来延长系统的生命周期。然而，没有文献研究具有pd的平衡系统的再分配策略。因此，本文研究了一个包含多个子系统的平衡系统的最优再分配策略。系统平衡的特征是子系统最大状态和最小状态之间的适当差值。建立了一个新的冲击模型来模拟系统的退化，其中冲击的大小和持续时间被整合到冲击分类中。一旦PD降级到一个阈值，PD就会被激活，以增强相应子系统的抗冲击能力。利用有限马尔可夫链嵌入法推导了系统的可靠性指标。通过求解以系统可靠性最大化为目标的优化模型，得到最优的再分配策略和时间。最后，给出了一个实例来验证所提出的模型。

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引用次数: 0

Impact of voyage segments on maritime accidents: An analysis of navigational factors and accident causes 航段对海上事故的影响：航行因素与事故原因分析

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2026-01-02 DOI: 10.1016/j.ress.2026.112188

Yiheng Wu , Huanhuan Li , Hang Jiao , Zhong Shuo Chen , Alan J. Murphy , Zaili Yang

Maritime transportation, a cornerstone of global trade, faces significant risks from maritime accidents, which can result in severe human casualties, substantial property loss, and extensive environmental damage. This study aims to improve the understanding of how different voyage segments, coastal waters, open seas, and restricted waters, influence maritime accidents by systematically analysing navigational characteristics and Risk Influential Factors (RIFs) across segments. The study employs a Tree-Augmented Naïve Bayes (TAN) model to quantify the probabilistic influence of RIFs on accident occurrence, enabling the explicit modelling of interdependencies that traditional approaches fail to capture. Scenario analysis is further conducted to assess segment-specific accident patterns and to identify how operational, environmental, and human-centred factors vary across navigational contexts. The results reveal both shared and segment-unique root causes, as well as high-risk transition zones where accident likelihood changes markedly between segments. By integrating voyage-segment analysis with a TAN structure, this paper advances maritime accident modelling beyond prior applications and provides actionable insights for risk-informed decision-making. The findings support the optimisation of route planning, the design of segment-specific and transition-focused safety measures, and the development of more effective maritime safety management strategies across diverse operational environments.

海上运输作为全球贸易的基石，面临着海上事故的重大风险，可能造成严重的人员伤亡、重大财产损失和广泛的环境破坏。本研究旨在通过系统分析不同航段、沿海水域、公海和限制水域的航行特征和风险影响因素（RIFs），提高对海上事故影响的认识。该研究采用树增强Naïve贝叶斯（TAN）模型来量化RIFs对事故发生的概率影响，从而能够对传统方法无法捕获的相互依赖性进行明确建模。进一步进行情景分析，以评估特定路段的事故模式，并确定操作、环境和人为因素在不同的导航环境中是如何变化的。结果揭示了共同的和路段特有的根本原因，以及事故发生可能性在路段之间发生显著变化的高风险过渡区。通过将航段分析与TAN结构相结合，本文超越了以前的应用，推进了海上事故建模，并为风险知情决策提供了可操作的见解。研究结果支持优化航线规划，设计特定路段和以过渡为重点的安全措施，以及在不同运营环境中制定更有效的海上安全管理策略。

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引用次数: 0

A multi-model ensemble and its portability for the prognostics of direct methanol fuel cells under different dynamic operating conditions 不同动态工况下直接甲醇燃料电池预测的多模型集成及其可移植性

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2026-01-02 DOI: 10.1016/j.ress.2025.112179

Dacheng Zhang , Jie Dong , Wei Wang , Christophe Bérenguer , Zhengang Zhao

Accurate estimation of State Of Health (SOH) and prediction of Remaining Useful Life (RUL) are all-important to ensure the fuel cells’ reliable operation. During the ageing of Direct Methanol Fuel Cells (DMFCs), the output voltage can be monitored in real-time to acquire the degradation trend. However, traditional prognostic methods relying solely on observed voltage trend regression cannot cope with dynamic changes in operation. The deep-level degradation information, which is merely affected by environmental factors, can be accessed by the Electrochemical Impedance Spectroscopy (EIS) measurements. Using the Equivalent Circuit Model (ECM), degradation covariates such as internal impedances can be identified and tracked over time. This paper proposes an approach that combines internal characterization and direct observation to predict the RUL of DMFCs under dynamic operating conditions. The proposed approach is implemented on two DMFCs of the same type prepared for accelerated ageing tests under different scenarios: one DMFC following the China Light Vehicle Test Cycle (CLTC) for training, and the other following the World Light Vehicle Test Cycle (WLTC) to verify the method’s portability. Compared to the traditional data-driven prediction method, experimental results show that the proposed multi-level degradation indicator-based approach can provide more accurate SOH estimation and RUL predictions.

准确估计燃料电池的健康状态（SOH）和预测剩余使用寿命（RUL）对于保证燃料电池的可靠运行至关重要。在直接甲醇燃料电池（dmfc）老化过程中，可以实时监测输出电压，获取老化趋势。然而，传统的预测方法仅依靠观测电压趋势回归，无法应对运行中的动态变化。电化学阻抗谱（EIS）测量可以获取仅受环境因素影响的深层降解信息。使用等效电路模型（ECM），可以识别和跟踪内部阻抗等退化协变量。本文提出了一种结合内部表征和直接观察的方法来预测dmfc在动态工况下的RUL。所提出的方法在两个相同类型的DMFC上实施，这些DMFC准备在不同场景下进行加速老化试验：一个DMFC遵循中国轻型车辆测试周期（CLTC）进行训练，另一个DMFC遵循世界轻型车辆测试周期（WLTC）以验证该方法的可移植性。实验结果表明，与传统的数据驱动预测方法相比，基于多级退化指标的方法可以提供更准确的SOH估计和RUL预测。

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引用次数: 0

A reliability-oriented model for optimal deployment of corrective maintenance crews in power distribution systems: A stochastic dynamic planning using benders decomposition 配电系统纠偏维修人员优化配置的可靠性导向模型：基于弯曲体分解的随机动态规划

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2026-01-02 DOI: 10.1016/j.ress.2026.112186

Seyede Ome Kolsoom Hosseini , Mohammad Rastegar , Mehrdad Ebrahimi

Corrective maintenance is performed after a failure in power distribution systems to restore service as quickly as possible. Although increasing the number of maintenance crews and depots improves reliability, it leads to significant investment costs. This paper proposes a dynamic planning model for the optimal deployment of maintenance crews in power distribution systems to minimize operational and investment costs along with interruption costs. The planning problem is computationally complex due to nonlinearity, a large solution space, and uncertainties related to service requirements. To tackle the issue of intractability in real-world systems, this paper proposes applying the Benders Decomposition approach to decompose the problem into a master problem and a sub-problem, both formulated in the mixed-integer linear programming format. The master problem determines the number and locations of depots to minimize depot-related costs and outage durations caused by crew travel time. The sub-problem optimizes the number of maintenance teams assigned to each depot to minimize delays due to maintenance crew unavailability. To demonstrate the applicability of this model, it is implemented on a real large-scale power distribution system. Simulation results show that the total system cost in the optimized case can be reduced by 29.25% compared to the current non-optimal state.

纠错维护是指在配电系统出现故障后，为了尽快恢复供电而进行的维护。虽然增加维修人员和维修站的数量可以提高可靠性，但这会导致巨大的投资成本。本文提出了配电系统维护人员优化配置的动态规划模型，以使运行成本、投资成本和中断成本最小化。规划问题由于非线性、求解空间大以及与业务需求相关的不确定性而计算复杂。为了解决现实系统中的难解性问题，本文提出应用Benders分解方法将问题分解为一个主问题和一个子问题，这两个问题都以混合整数线性规划格式表示。主问题决定了仓库的数量和位置，以最大限度地减少与仓库相关的成本和由船员旅行时间引起的停机时间。子问题优化分配到每个仓库的维修小组的数量，以尽量减少由于维修人员不可用而造成的延误。为了验证该模型的适用性，在实际大型配电系统中进行了仿真。仿真结果表明，与当前非最优状态相比，优化后的系统总成本可降低29.25%。

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引用次数: 0