基于BWO-VMD的柔直配电网故障选线与测距方案

戴志辉; 江莹; 史琛; 石浚阳; 杨怡诗

doi:10.19912/j.0254-0096.tynxb.2025-0318

PDF(1559 KB)

太阳能学报 ›› 2026, Vol. 47 ›› Issue (7) : 663-674. DOI: 10.19912/j.0254-0096.tynxb.2025-0318

基于BWO-VMD的柔直配电网故障选线与测距方案

戴志辉, 江莹, 史琛, 石浚阳, 杨怡诗

作者信息 +

FAULT LINE SELECTION AND LOCATION SCHEME OF FLEXIBLE DC DISTRIBUTION NETWORK BASED ON BWO-VMD

Dai Zhihui, Jiang Ying, Shi Chen, Shi Junyang, Yang Yishi

Author information +

文章历史 +

摘要

提出一种基于白鲸优化算法（BWO）优化变分模态分解（VMD）的故障选线与测距方法。通过构建品质因数优化目标,BWO算法实现VMD参数自适应调整,提升暂态特征提取能力。基于差流的本征模态函数（IMF）分量构建暂态能量判据,实现准确选线与故障类型识别;引入Teager能量算子（TEO）提取行波特征,完成高精度测距。在PSCAD/EMTDC中搭建六端环状柔直配电网模型,仿真结果表明,该方法在故障选线与测距准确性上具备良好适应性与鲁棒性。

Abstract

This paper proposes a fault line selection and location method based on Variational Mode Decomposition （VMD） optimized by the Beluga Whale Optimization （BWO） algorithm. By constructing an objective function based on the quality factor, the BWO algorithm adaptively optimizes the VMD parameters, thereby enhancing the extraction capability of transient fault features. A transient energy criterion is established using the Intrinsic Mode Function （IMF） components of differential currents to accurately identify fault lines and fault types. Furthermore, the Teager Energy Operator （TEO） is employed to extract traveling-wave characteristics for high-precision fault location. A six-terminal ring-type flexible DC distribution network model is developed in PSCAD/EMTDC. Simulation results demonstrate that the proposed method achieves high accuracy and exhibits strong adaptability and robustness in fault line selection and location.

导出引用

戴志辉, 江莹, 史琛, 石浚阳, 杨怡诗. 基于BWO-VMD的柔直配电网故障选线与测距方案[J]. 太阳能学报. 2026, 47(7): 663-674 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0318

Dai Zhihui, Jiang Ying, Shi Chen, Shi Junyang, Yang Yishi. FAULT LINE SELECTION AND LOCATION SCHEME OF FLEXIBLE DC DISTRIBUTION NETWORK BASED ON BWO-VMD[J]. Acta Energiae Solaris Sinica. 2026, 47(7): 663-674 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0318

中图分类号： TM722

参考文献

[1] 戴志辉, 刘珊珊, 李毅然. 适用于中压柔直配电网的电容辅助型断路器[J]. 太阳能学报, 2024, 45(9): 179-187.
Dai Z H, Liu S S, Li Y R.Capacitor-assisted circuit breaker for medium-voltage flexible DC distribution networks[J]. Acta Energiae Solaris Sinica, 2024, 45(9): 179-187.
[2] 高冠中, 杨胜春, 郭晓蕊, 等. 深度强化学习在含分布式柔性资源的电网优化调度中的应用研究综述[J]. 中国电机工程学报, 2024, 44(16): 6385-6403.
Gao G Z, Yang S C, Guo X R, et al.A review of research on the application of deep reinforcement learning in optimization dispatch of power grids with distributed flexible resources[J]. Proceedings of the CSEE, 2024, 44(16): 6385-6403.
[3] 葛乐, 袁晓冬, 陆宣统, 等. 柔性并网光储系统的设计与实现[J]. 太阳能学报, 2017, 38(10): 2871-2878.
Ge L, Yuan X D, Lu X T, et al.Design and implementation of flexible grid connected pv and energy storage system[J]. Acta Energiae Solaris Sinica, 2017, 38(10): 2871-2878.
[4] 徐岩, 胡紫琪, 董浩然, 等. 基于灰色综合关联度的柔性直流配电网故障定位[J]. 太阳能学报, 2023, 44(4): 324-331.
Xu Y, Hu Z Q, Dong H R, et al.Fault location based on comprehensive grey relational degree for flexible DC distribution network[J]. Acta Energiae Solaris Sinica, 2023, 44(4): 324-331.
[5] 付华, 刘超, 张松, 等. VMD-SWT联合算法在故障行波检测中的应用[J]. 电力系统及其自动化学报, 2020, 32(5): 55-61.
Fu H, Liu C, Zhang S, et al.Application of VMD-SWT joint algorithm in fault traveling wave detection[J]. Proceedings of the CSU-EPSA, 2020, 32(5): 55-61.
[6] 郑茂然, 陈朝晖, 余江, 等. 基于MSST的高压直流线路故障定位方法[J]. 南方电网技术, 2022, 16(3): 8-15, 125.
Zheng M R, Chen Z H, Yu J, et al.Fault location method based on MSST for HVDC lines[J]. Southern Power System Technology, 2022, 16(3): 8-15, 125.
[7] 杨冬锋, 王鹤, 刘晓军, 等. 基于VMD-SVD的多端柔直电网故障测距方案[J]. 电网技术, 2022, 46(8): 3084-3093.
Yang D F, Wang H, Liu X J, et al.Fault location scheme for multi-terminal MMC-HVDC system based on VMD-SVD[J]. Power System Technology, 2022, 46(8): 3084-3093.
[8] 张浩, 张大海, 刘乃毓, 等. 基于改进VMD及ConvNeXt的小电流接地系统单相接地故障选线方法[J]. 高电压技术, 2025, 51(2): 730-741.
Zhang H, Zhang D H, Liu N Y, et al.Line selection method of single-phase grounding faults for low-current grounding system based on improved VMD and ConvNeXt[J]. High Voltage Engineering, 2025, 51(2): 730-741.
[9] 刘述喜, 王乾蕴, 刘科, 等. 基于IVMD-LSTM的模块化多电平变换器故障诊断[J]. 太阳能学报, 2025, 46(4): 114-124.
Liu S X, Wang Q Y, Liu K, et al.Fault diagnosis for modular multilevel converters based on IVMD-LSTM[J]. Acta Energiae Solaris Sinica, 2025, 46(4): 114-124.
[10] 王思华, 王羚佰. 基于SAO-VMD-S的双端柔性直流输电故障测距方案[J]. 电力系统保护与控制, 2025, 53(1): 1-12.
Wang S H, Wang L B.Fault location scheme for dual-terminal flexible DC transmission based on SAO-VMD-S[J]. Power System Protection and Control, 2025, 53(1): 1-12.
[11] 周军, 曲振国, 战紫昂. 融合小波去噪与VMD-NTEO的输电线路故障定位[J]. 电力系统及其自动化学报, 2025, 37(7): 141-150.
Zhou J, Qu Z G, Zhan Z A.Transmission line fault location based on fusion of wavelet denoising and VMD-NTEO[J]. Proceedings of the CSU-EPSA, 2025, 37(7): 141-150.
[12] 周军, 曲振国, 战紫昂. 基于CPO-VMD的输电线路行波故障测距方法[J]. 电力科学与技术学报, 2025, 40(2): 30-41.
Zhou J, Qu Z G, Zhan Z A.Traveling wave fault location method of transmission line based on CPO-VMD[J]. Journal of Electric Power Science and Technology, 2025, 40(2): 30-41.
[13] Yin Z H, Zheng Y P, Wei Z N, et al.High-impedance fault section location for distribution networks based on T-distributed stochastic neighbor embedding and variable mode decomposition[J]. Journal of Modern Power Systems and Clean Energy, 2024, 12(5): 1495-1505.
[14] 汪业正午, 季亮, 常潇, 等. 故障下新能源场站间主动电压支撑协调控制策略[J]. 太阳能学报, 2023, 44(12): 560-567.
Wang Y, Ji L, Chang X, et al.Active voltage support coordination control strategy between new energy field stations under failure[J]. Acta Energiae Solaris Sinica, 2023, 44(12): 560-567.
[15] 汪繁荣, 李州. 基于EBWO-SVM的变压器故障诊断研究[J]. 电子测量技术, 2024, 47(10): 101-107.
Wang F R, Li Z.Research on transformer fault diagnosis based on EBWO-SVM[J]. Electronic Measurement Technology, 2024, 47(10): 101-107.
[16] 蔡海良, 胡凯, 李军, 等. 基于BWO-ELM算法与VR-GIS技术的电力光缆故障诊断及定位研究[J]. 计算机测量与控制, 2022, 30(12): 98-104, 111.
Cai H L, Hu K, Li J, et al.Research on fault diagnosis and location of power optical cable based on BWO-ELM algorithm and VR-GIS technology[J]. Computer Measurement & Control, 2022, 30(12): 98-104, 111.
[17] Dragomiretskiy K, Zosso D.Variational mode decomposition[J]. IEEE Transactions on Signal Processing, 2014, 62(3): 531-544.
[18] Zhong C T, Li G, Meng Z.Beluga whale optimization: a novel nature-inspired metaheuristic algorithm[J]. Knowledge-Based Systems, 2022, 251: 109215.
[19] 邓丰, 史鸿飞, 冯思旭, 等. CNN-LSTM全景故障特征挖掘的配电网单端定位方法[J]. 中国电机工程学报, 2023, 43(S1): 114-126.
Deng F, Shi H F, Feng S X, et al.Single-ended traveling wave location method for distribution network based on CNN-LSTM panoramic fault feature mining[J]. Proceedings of the CSEE, 2023, 43(S1): 114-126.
[20] 贾秀芳, 陈清. 基于Teager能量算子的风电并网闪变包络线提取[J]. 太阳能学报, 2010, 31(7): 885-890.
Jia X F, Chen Q.Teager energy operator for tracking the envelope of voltage flicker produced by integrated wind power[J]. Acta Energiae Solaris Sinica, 2010, 31(7): 885-890.
[21] 高艳丰, 朱永利, 闫红艳, 等. 基于VMD和TEO的高压输电线路雷击故障测距研究[J]. 电工技术学报, 2016, 31(1): 24-33.
Gao Y F, Zhu Y L, Yan H Y, et al.Study on lighting fault locating of high-voltage transmission lines based on VMD and TEO[J]. Transactions of China Electrotechnical Society, 2016, 31(1): 24-33.