International Journal of Electrical Power & Energy Systems最新文献

Parameters prediction of EV cluster aggregation model for low-voltage stations based on IGWO-BiLSTM 基于IGWO-BiLSTM的低压电站电动汽车集群聚集模型参数预测

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-02-01 DOI: 10.1016/j.ijepes.2025.111495

Guo Guowei , Lu Zhixin , Liang Ziwei , Yang Xinsen , Ye Chengyuan

The electric vehicle (EV) represents a critical new source of variable load. Accurately estimating the aggregate power and total energy storage capacity of an EV cluster is essential for effective grid regulation. To improve the accuracy of parameters prediction of the electric vehicle cluster aggregation model, a prediction method based on the improved gray wolf algorithm (IGWO) optimized bidirectional long-short-term memory network (BiLSTM) is proposed. First, the EV cluster generalized energy storage aggregation model is established based on Minkowski summation theory, then the feasible domains of its power and capacity boundaries are constructed. Secondly, a fitness-distance dynamic weighting strategy and a hybrid convergence factor, which combines the Sigmoid function and linear regulation, are designed to improve the global search and local development capability of IGWO. Finally, the high-accuracy prediction of power and capacity boundaries for the EV cluster aggregation model is achieved by optimizing the hyperparameters configuration of BiLSTM. The simulation results show that the prediction effect of the proposed method is significantly better than that of the traditional BP neural network, LSTM and BiLSTM.

电动汽车是一种重要的新型可变负荷来源。准确估计电动汽车集群的总功率和总储能容量是有效调节电网的关键。为了提高电动汽车聚类模型参数预测的准确性，提出了一种基于改进灰狼算法（IGWO）优化双向长短期记忆网络（BiLSTM）的预测方法。首先，基于闵可夫斯基求和理论建立电动汽车集群广义储能聚合模型，然后构造其功率边界和容量边界的可行域；其次，设计了适应度-距离动态加权策略和Sigmoid函数与线性调节相结合的混合收敛因子，提高了IGWO的全局搜索能力和局部发展能力；最后，通过优化BiLSTM的超参数配置，实现了EV聚类模型功率和容量边界的高精度预测。仿真结果表明，该方法的预测效果明显优于传统的BP神经网络、LSTM和BiLSTM。

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引用次数: 0

A novel OPF analysis for optimizing wind power curtailment in AC/multi-terminal VSC-HVDC systems under frequency constraints 频率约束下交流/多终端VSC-HVDC系统风电弃风优化的新颖OPF分析

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-02-01 DOI: 10.1016/j.ijepes.2026.111606

Sangwon Kim

A novel optimal power flow formulation for AC/multi-terminal voltage-source converter-based high-voltage direct-current systems is developed to calculate the wind power curtailment level considering frequency constraints. The objective function minimizes the total generation cost. Steady-state and dynamic behaviors of the power system, including wind generation and the frequency support of the multi-terminal high-voltage direct-current system, are included as additional constraints. The frequency support provided by a multi-terminal high-voltage direct-current system requires adjustments in the active power flow of voltage-source converters, which leads to DC grid voltage fluctuations. A DC voltage constraint is incorporated to prevent excessive DC voltage deviation. Multiple scenarios with different multi-terminal control methods are simulated. The optimal power flow problem can be solved using an evolutionary optimization process. First, the steady-state constraints are evaluated based on power flow analysis for each control vector. Time-domain simulations are conducted to check dynamic constraint violations. The lowest wind curtailment levels are obtained when all voltage-source converter stations participate in frequency support. However, the curtailment level increases once DC voltage constraints are imposed. The most significant curtailment level increase occurs when all converters contribute to frequency regulation.

提出了一种基于交流/多端电压源变流器的高压直流系统最优潮流公式，用于计算考虑频率约束的风电弃风水平。目标函数使总发电成本最小。电力系统的稳态和动态行为，包括风力发电和多端高压直流系统的频率支持，作为附加约束包括在内。多端高压直流系统提供的频率支持需要电压源变流器的有功潮流进行调整，从而导致直流电网电压波动。采用直流电压约束以防止过大的直流电压偏差。采用不同的多终端控制方法对多个场景进行了仿真。最优潮流问题可以用进化优化过程求解。首先，基于功率流分析对每个控制向量进行稳态约束评估。进行时域仿真以检查动态约束是否违反。当所有电压源换流站参与频率支持时，获得最低的风消减水平。然而，一旦施加直流电压限制，弃电水平就会增加。当所有变流器都参与频率调节时，最显著的削减水平增加发生。

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引用次数: 0

Machine learning-based multi-time-scale coupled equivalent modelling of active distribution networks under disturbances 扰动下基于机器学习的有源配电网多时间尺度耦合等效建模

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-02-01 DOI: 10.1016/j.ijepes.2026.111639

J.W. Wang , Jiehui Zheng , Yan Chen , Qinghua Wu

The large-scale integration of renewable energy sources and adjustable loads has significantly increased the complexity and dynamic uncertainty of power systems, making accurate equivalent modelling of active distribution networks particularly challenging under disturbance conditions. Reliable equivalent models are essential for stability analysis, emergency control, and operational optimisation in modern power systems. To address the modelling requirements across multiple time scales and diverse operating scenarios, this paper proposes a multi-time-scale coupled equivalent modelling framework for active distribution networks under disturbance. For long-term modelling, a multi-attribute equivalent modelling approach is developed by integrating deep reinforcement learning with evidential reasoning, where composite models consisting of equivalent ZIP loads connected in parallel with equivalent induction motors are adopted as constituent structure. Furthermore, a multi-attribute reward mechanism is further designed to guide parameter identification while preserving model interpretability under uncertainty. For short-term modelling, a clustering-based load aggregation strategy is employed to construct high-precision equivalent models for adjustable loads. Meanwhile, a Bidirectional Long Short-Term Memory network is introduced to capture fast-varying dynamic behaviours. Case studies conducted demonstrate that MDDQN outperforms conventional DDQN and DQN, while Bidirectional Long Short-Term Memory outperforms conventional Long Short-Term Memory. The results indicate that the proposed approach provides an effective and reliable modelling solution, offering model-based support for the analysis and operation of active distribution networks under disturbance conditions.

可再生能源和可调节负荷的大规模集成大大增加了电力系统的复杂性和动态不确定性，使有功配电网在扰动条件下的准确等效建模特别具有挑战性。可靠的等效模型对现代电力系统的稳定性分析、应急控制和运行优化至关重要。为了满足多时间尺度和不同运行情况下的建模要求，本文提出了扰动下有功配电网的多时间尺度耦合等效建模框架。对于长期建模，将深度强化学习与证据推理相结合，提出了一种多属性等效建模方法，采用等效ZIP载荷与等效感应电机并联组成的复合模型作为组成结构。进一步设计了多属性奖励机制来指导参数识别，同时在不确定条件下保持模型的可解释性。在短期建模方面，采用基于聚类的负荷聚合策略，构建高精度的可调负荷等效模型。同时，引入双向长短期记忆网络来捕捉快速变化的动态行为。案例研究表明，MDDQN优于传统DDQN和DQN，双向长短期记忆优于传统长短期记忆。结果表明，该方法提供了一种有效、可靠的建模解决方案，为有源配电网在扰动条件下的分析和运行提供了基于模型的支持。

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引用次数: 0

A voltage-clamped bidirectional fault current limiter based on a three-winding coupled inductor for DC power grids 基于三绕组耦合电感的电压箝位直流电网双向故障限流器

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-02-01 DOI: 10.1016/j.ijepes.2025.111550

Ziao Yuan, Siyuan Liu, Jinchao Chen, Zhiyuan Liu, Yingsan Geng

The DC fault is a serious challenge to voltage-source-converter-based HVDC (VSC-HVDC) systems, and the fault current limiter (FCL) is one of the key measures to solve the DC fault and reduce the capacity of the DC circuit breaker. This paper proposes a voltage-clamped bidirectional fault current limiter (VCB-FCL) based on a three-winding coupled inductor. During normal operation, the reverse magnetic coupling of the windings gives the VCB-FCL a low inductance, resulting in minimal impact on system dynamic performance. After the fault occurs, the IGBTs control the windings with the same magnetic flux direction to conduct the fault current, rapidly increasing the equivalent inductance, and the metal oxide varistor (MOV) in VCB-FCL is conducted. It can effectively limit the current through the voltage clamping effect of the MOV. Based on the analysis of the working principle and parameter design of VCB-FCL, simulation and experiment are carried out, and its good performance is verified. Compared with DC reactors, the amplitude of fault current decreases by 54.8 %, the interruption time is reduced by 1.2 ms, and the energy dissipation of the MOV is reduced by 57.0 %. Compared with other FCLs, the proposed VCB-FCL exhibits better performance in bidirectional current limiting, system dynamic response, interruption time, MOV energy dissipation, and cost. The simulation and experimental results show that VCB-FCL is not only feasible in principle but also has outstanding advantages in performance compared to other current limiting methods.

直流故障是基于电压源变换器的高压直流输电系统面临的严峻挑战，而故障限流器是解决直流故障和减小直流断路器容量的关键措施之一。提出了一种基于三绕组耦合电感的电压箝位双向故障限流器（VCB-FCL）。在正常工作期间，绕组的反向磁耦合使VCB-FCL具有低电感，对系统动态性能的影响最小。故障发生后，igbt控制磁通方向相同的绕组导通故障电流，迅速增加等效电感，导通VCB-FCL中的金属氧化物压敏电阻（MOV）。它可以通过MOV的电压箝位效应有效地限制电流。在分析VCB-FCL的工作原理和参数设计的基础上，进行了仿真和实验，验证了其良好的性能。与直流电抗器相比，故障电流幅值降低54.8%，中断时间缩短1.2 ms， MOV的能量耗散减少57.0%。与其他fcl相比，VCB-FCL在双向限流、系统动态响应、中断时间、MOV能量耗散和成本等方面表现出更好的性能。仿真和实验结果表明，与其他限流方法相比，VCB-FCL不仅在原理上是可行的，而且在性能上也具有突出的优势。

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引用次数: 0

Improved distance protection for double-ended weak-feed AC system considering negative sequence control coordination strategy 考虑负序控制协调策略的双端弱馈交流系统改进距离保护

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-02-01 DOI: 10.1016/j.ijepes.2026.111602

Junjie Hou , Kunpeng Liu , Yanfang Fan , Guobing Song , Xiaofang Wu

Since the PV-side voltage source converter (PVVSC) and the sending-end modular multilevel converter (SEMMC) are connected by AC lines, they constitute a double-ended weak-feed system (DEWFS). Under the traditional negative sequence cooperative control strategy, it will induce incorrect action of traditional distance protection. Therefore, an improved distance protection considering the negative-sequence control coordination strategy is proposed. Firstly, the adaptability of distance protection of DEWFS under the traditional fault cooperative control strategy is analyzed. Secondly, considering the influence of fault severity on the control effect, a switch strategy between negative sequence voltage suppression (NSVS) and negative sequence impedance angle reconstruction (NSIAR) on the MMC side is proposed. Finally, combined with the composite sequence network analysis to obtain the additional impedance angle provoked by the fault resistance, and the correct action of the traditional distance relay is realized. The simulation results suggest that the proposed method has high resistance to fault resistance and can realize accurate identification of internal and external faults within 60 ms, and it has certain robustness. Moreover, the proposed negative sequence control strategy did not affect other fault ride-through (FRT) control of the DEWFS while ensuring the safe and stable operation of the DEWFS.

由于pv侧电压源变换器（PVVSC）和发送端模块化多电平变换器（SEMMC）通过交流线路连接，它们构成了一个双端弱馈电系统（DEWFS）。传统的负序协同控制策略会导致传统距离保护的错误动作。为此，提出了一种考虑负序控制协调策略的改进距离保护方法。首先，分析了在传统故障协同控制策略下，无水机组距离保护的适应性。其次，考虑故障严重程度对控制效果的影响，提出了MMC侧负序电压抑制（NSVS）和负序阻抗角重构（NSIAR）的切换策略；最后，结合复合序列网络分析，获得故障电阻引起的附加阻抗角，实现传统距离继电器的正确动作。仿真结果表明，该方法具有较高的抗故障电阻性，可在60ms内实现内外故障的准确识别，并具有一定的鲁棒性。此外，所提出的负序控制策略在保证水力发电机组安全稳定运行的同时，不影响水力发电机组的其他故障穿越控制。

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引用次数: 0

Hierarchical switch fault diagnosis based on transformer algorithm in four-leg inverters of stand-alone wind energy conversion systems 基于变压器算法的四腿逆变器开关故障分级诊断

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-02-01 DOI: 10.1016/j.ijepes.2026.111607

Jalal Heidari , Rasool Peykarporsan , Soroush Oshnoei , Tek Tjing Lie , Lieven Vandevelde , Guillaume Crevecoeur

With the increasing development of renewable energy resources, stand-alone structures are gaining more attention. Among these, wind energy systems are particularly notable because of their advantages, including sustainability, low operational expenses, and minimal environmental impact. Due to the challenges of load balancing in such systems, four-leg inverters have emerged as a viable solution, offering improved performance under unbalanced load conditions. However, like all inverters, they remain susceptible to internal faults. Accordingly, this paper proposes a hierarchical two-level Transformer-based model to detect switch internal faults, including open-circuit and short-circuit in four-leg inverters. The OPAL-RT hardware-in-the-loop setup was used to generate data in various scenarios to validate the efficiency of the proposed framework. The results demonstrate that the developed technique can effectively classify fault types and identify faulty switches compared to state-of-the-art algorithms and single-level structures.

随着可再生能源的不断发展，独立式结构越来越受到人们的重视。其中，风能系统尤其引人注目，因为它具有可持续性、低运营费用和最小环境影响等优势。由于这些系统中负载平衡的挑战，四腿逆变器已经成为一种可行的解决方案，在不平衡负载条件下提供改进的性能。然而，像所有的逆变器一样，它们仍然容易受到内部故障的影响。据此，本文提出了一种基于分层两电平变压器的四腿逆变器开关内部故障检测模型，包括开路和短路。OPAL-RT硬件在环设置用于在各种场景中生成数据，以验证所提出框架的效率。结果表明，与现有算法和单级结构相比，所开发的技术可以有效地分类故障类型和识别故障开关。

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引用次数: 0

Semantic communication-based detection of False Data Injection Attacks in 6G-enabled smart grids 基于语义通信的6g智能电网虚假数据注入攻击检测

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-02-01 DOI: 10.1016/j.ijepes.2026.111649

Zainab Alwaisi , Simone Soderi

The increasing integration of advanced communication technologies in smart grids, particularly in the context of emerging 6G networks, exposes power systems to sophisticated cyber–physical threats such as False Data Injection Attacks (FDIAs). These attacks can bypass conventional detection mechanisms by introducing subtle yet contextually inconsistent data manipulations. Most existing FDIA detection approaches rely on statistical residual analysis or purely data-driven learning models, which often fail to exploit domain knowledge inherent to power system operations.

This paper proposes a semantic communication-based framework for FDIA detection in 6G-enabled smart grids. The proposed approach integrates ontology-driven semantic encoding with Long Short-Term Memory (LSTM) networks to jointly capture contextual semantics and temporal dependencies in smart meter data. By embedding power system domain knowledge into the communication and detection pipeline, the framework enables the identification of semantically inconsistent measurements that may appear statistically plausible. To validate the proposed method, a custom smart meter prototype was developed to generate a large-scale dataset consisting of both normal and FDIA-compromised power consumption profiles. Extensive experimental results demonstrate that the proposed framework achieves high detection accuracy and low inference latency, while maintaining robustness under noisy communication conditions. Comparative evaluations against representative deep learning-based baselines show consistent improvements in detection performance and reliability. These results indicate that the proposed semantic-aware detection framework is well-suited for real-time monitoring and cybersecurity enhancement of future 6G-enabled smart grid systems.

智能电网中越来越多的先进通信技术集成，特别是在新兴的6G网络背景下，使电力系统面临复杂的网络物理威胁，如虚假数据注入攻击（FDIAs）。这些攻击可以通过引入微妙但上下文不一致的数据操作来绕过传统的检测机制。大多数现有的FDIA检测方法依赖于统计残差分析或纯数据驱动的学习模型，这些模型往往无法利用电力系统运行固有的领域知识。本文提出了一种基于语义通信的框架，用于支持6g的智能电网中的FDIA检测。该方法将本体驱动的语义编码与长短期记忆（LSTM）网络相结合，共同捕获智能电表数据中的上下文语义和时间依赖性。通过将电力系统领域知识嵌入到通信和检测管道中，该框架能够识别语义上不一致的测量，这些测量可能在统计上是可信的。为了验证所提出的方法，开发了一个定制的智能电表原型，以生成由正常和受fdia影响的功耗曲线组成的大规模数据集。大量的实验结果表明，该框架具有较高的检测精度和较低的推理延迟，同时在噪声通信条件下保持了鲁棒性。与代表性的基于深度学习的基线进行比较评估，显示出检测性能和可靠性的一致改进。这些结果表明，所提出的语义感知检测框架非常适合未来支持6g的智能电网系统的实时监控和网络安全增强。

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引用次数: 0

Medium-term scheduling of the power system integrating waterway hydrogen chains considering flexibility of transferable hydrogen production equipment 考虑可转移制氢设备灵活性的水路氢链一体化电力系统中期调度

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-02-01 DOI: 10.1016/j.ijepes.2026.111620

Quan Sui , Hanran Wang , Yu Han , Qiujie Wang , Tao Jin , Xiangning Lin , Mohamed A. Mohamed

In order to fully exploit the advantages of water transportation in terms of cost and convenience, a new waterway hydrogen chain integrating the vessel-mounted transferable hydrogen production equipment (THPE), hydrogen vessel (HV), and hydrogen refueling station (HRS) is designed in this paper. The medium-term operation characteristics of the THPE which consider the long-time scale berthing position adjustment and short-time scale power regulation ability are modelled. The dynamic relationship between the hydrogen charging rate and real-time hydrogen storage of HVs is also evaluated. Additionally, the hydrogen market interaction mechanism between HRS and other hydrogen sources is formulated based on Bertrand model. On this basis, a medium-term scheduling strategy of the power system integrating waterway hydrogen chains is developed. This model is linearized into a mixed-integer linear programming (MILP) problem using an accuracy-aware adaptive piecewise linearization approximation method to improve solution efficiency. Finally, case studies on a modified IEEE-30-node power system and river network indicate that the proposed strategy can reduce the cost of the integrated electric-hydrogen system by 16,094 thousand yuan (18.2%).

为了充分发挥水上运输在成本和便捷性方面的优势，本文设计了一种集船载可转移制氢设备（THPE）、氢船（HV）和加氢站（HRS）为一体的新型水路氢链。建立了考虑长尺度靠泊位置调整和短时尺度功率调节能力的THPE中期运行特性模型。同时，分析了充氢速率与HVs实时储氢量之间的动态关系。此外，基于Bertrand模型，建立了HRS与其他氢源的氢市场相互作用机制。在此基础上，提出了水路氢链一体化电力系统的中期调度策略。为了提高求解效率，采用精度感知自适应分段线性化逼近方法将该模型线性化为混合整数线性规划问题。最后，对改进的ieee -30节点电力系统和河网进行了实例研究，结果表明，该策略可使电氢一体化系统的成本降低1609.4万元（18.2%）。

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引用次数: 0

Improved microgrid performance with virtual synchronous machine-droop control and seamless transition using phase locked loop-based islanding detection scheme 采用基于锁相环的孤岛检测方案，通过虚拟同步机下垂控制和无缝过渡改善微网性能

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-02-01 DOI: 10.1016/j.ijepes.2026.111629

Buddhadeva Sahoo , Subhransu Ranjan Samantaray , Mohit Bajaj , Vojtech Blazek , Lukas Prokop

This paper addresses a pressing concern in hybrid AC/DC microgrids in achieving stable, seamless transitions between grid-following and islanded operations of parallel inverters. Autonomous control with power-quality assurance and reliable synchronization are imperative for future resilient distributed energy systems. To develop technology that responds to the above needs, a new mode transition mechanism based on a phase-locked loop (NPLL-MTM) is proposed, in conjunction with a dual controller strategy that incorporates current and voltage control loops. In grid-following operation, a combination of the second-order generalized integrator (SOGI) and virtual synchronous machine droop (VSM-droop) controller enhances phase estimation, providing virtual inertia support and dynamic response. In parallel, the adaptive vectorial filter (AVF) supports an improved fundamental current extraction and compensating for reactive power. In islanded operations, the NPLL-MTM guarantees a smooth current-to-voltage control transition to keep load demand and system stable. The simulation and practical validation of the proposed methodology was carried out on a SPARTAN-6 FPGA–based PV–battery microgrid prototype. The results showed a reduction of grid current THD from 12.6% to 1.25% within IEEE-519 limits, while voltage and frequency were maintained within ± 10% p.u., and 2–4% conforming to IEEE-2030.7. The experimental effort allowed securing islanding within 2 s and resynchronization within 1–2 cycles. Comparative evaluations have shown improved transient response, accuracy in power sharing, and reliability in transitions compared to the conventional PLL-based approaches. These results endorse the proposed method as an exceptionally convincing means of guaranteeing the smooth, standard-compliant, and practically realizable operation of hybrid microgrids with high performance.

本文解决了混合交/直流微电网在实现电网跟随和并联逆变器孤岛运行之间的稳定，无缝转换方面的紧迫问题。具有电能质量保证和可靠同步的自主控制是未来弹性分布式能源系统的必要条件。为了开发满足上述需求的技术，提出了一种基于锁相环（NPLL-MTM）的新型模式转换机制，并结合了包含电流和电压控制环的双控制器策略。在电网跟随运行中，二阶广义积分器（SOGI）与虚拟同步机下垂控制器（vsm -下垂）相结合，增强了相位估计，提供了虚拟惯性支持和动态响应。同时，自适应矢量滤波器（AVF）支持改进的基波电流提取和无功补偿。在孤岛作业中，NPLL-MTM保证了电流到电压的平滑控制转换，以保持负载需求和系统稳定。在基于SPARTAN-6 fpga的光伏电池微电网样机上进行了仿真和实际验证。结果表明，在IEEE-519的限制范围内，电网电流THD从12.6%降低到1.25%，而电压和频率保持在±10% p.u，符合IEEE-2030.7的2-4%。实验工作允许在2秒内确保孤岛，并在1-2个周期内重新同步。对比评估表明，与传统的基于锁相环的方法相比，该方法改善了瞬态响应、功率共享的准确性和转换的可靠性。这些结果表明，所提出的方法是一种非常有说服力的手段，可以保证高性能混合微电网的平稳、标准兼容和实际可实现的运行。

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引用次数: 0

Fault section location method of DC distribution network based on multi-source fault information fusion 基于多源故障信息融合的直流配电网故障区段定位方法

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems

Pub Date : 2026-02-01 DOI: 10.1016/j.ijepes.2026.111619

He Wang, Dongyuan Wang, Shiqiang Li, Huanan Yu, Jing Bian, Guoqing Li

When short circuit fault occur in the direct current (DC) distribution network, in view of the problems such as inaccurate representation of fault degrees, low location accuracy and location errors in existing fault location methods, this paper proposes a fault section location method based on multi-source fault information fusion during the fault recovery period in complex topology DC distribution network. Firstly, the high-frequency fault current sparse vector is extracted based on the compressed sensing reconstruction algorithm to preliminarily identify the fault range. The nonlinear attenuation characteristics of high-frequency fault current amplitudes are analyzed, and the normal distribution models are constructed to quantitatively characterize the attenuation trend to evaluate the electrical quantity fault degree. Secondly, the local switching quantity operation information of DC distribution network is determined based on the precise identification of high-frequency voltage signal generated at the moment of circuit breaker trip, and the erroneous state information of elements in Bayesian network models are effectively corrected to enhance the accuracy of switching quantity fault degree. Then, the traditional Dempster-Shafer evidence theory (D-S evidence theory) is improved from the perspective of the weight of evidence body, and based on the improved D-S evidence theory, the fault degrees are fused to achieve accurate fault section location. Finally, the simulation model of DC distribution network based on Power Systems Computer Aided Design (PSCAD) platform verifies the validity and superiority of the fault section location method proposed in this paper.

针对直流配电网发生短路故障时，现有故障定位方法存在故障程度表示不准确、定位精度低、定位误差大等问题，提出了一种基于多源故障信息融合的复杂拓扑直流配电网故障恢复期故障段定位方法。首先，基于压缩感知重构算法提取高频故障电流稀疏向量，初步识别故障范围；分析了高频故障电流幅值的非线性衰减特性，建立了正态分布模型，定量表征了高频故障电流幅值的衰减趋势，从而评价了电量故障程度。其次，通过对断路器跳闸时刻产生的高频电压信号的精确识别，确定了直流配电网的局部开关量运行信息，并有效修正了贝叶斯网络模型中各单元的错误状态信息，提高了开关量故障程度的准确性；然后，从证据体权重的角度对传统的Dempster-Shafer证据理论（D-S证据理论）进行改进，在改进的D-S证据理论的基础上，对断层程度进行融合，实现准确的断层段定位。最后，基于电力系统计算机辅助设计（PSCAD）平台的直流配电网仿真模型验证了本文提出的故障区段定位方法的有效性和优越性。

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引用次数: 0