光伏并网逆变器直流侧漏电故障特征分析及识别方法研究

李昌隆; 钟佩军; 欧灏楠; 苏盛; 孙建军; 苏华锋

doi:10.19912/j.0254-0096.tynxb.2025-0402

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (7) : 483-493. DOI: 10.19912/j.0254-0096.tynxb.2025-0402

光伏并网逆变器直流侧漏电故障特征分析及识别方法研究

李昌隆^1,2, 钟佩军^1,2, 欧灏楠^1,2, 苏盛^1,2, 孙建军³, 苏华锋⁴

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RESEARCH ON FAULT CHARACTERISTICS ANALYSIS AND DIAGNOSIS METHODS FOR DC-SIDE LEAKAGE IN PHOTOVOLTAIC GRID-CONNECTED INVERTERS

Li Changlong^1,2, Zhong Peijun^1,2, Ou Haonan^1,2, Su Sheng^1,2, Sun Jianjun³, Su Huafeng⁴

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摘要

针对光伏并网逆变器直流侧漏电特征分析和故障识别需求,建立三相光伏并网逆变器直流侧漏电故障等效分析模型,分析直流侧故障时逆变器漏电流形成机理与频域特征,指出漏电流形成不同频率分量的具体原因。基于光伏并网逆变器直流侧漏电机理特征和统计特征,提出基于XGBoost算法的多类型直流侧漏电故障识别方法,仿真案例中所提基于机理特征和统计特征的故障识别准确性可达99.5%以上,明显优于基于传统统计特征以及传统机器学习算法下的漏电故障识别方法,证明引入机理特征可显著提升光伏并网逆变器的直流侧漏电故障类型识别准确率。

Abstract

To meet the requirements of DC-side leakage current characteristic analysis and fault identification in photovoltaic grid-connected inverters, this paper first establishes an equivalent analysis model for DC-side leakage faults in non-isolated three-phase photovoltaic grid-connected inverters. Then, the formation mechanism and frequency-domain characteristics of leakage currents under DC-side faults are analyzed and the reasons for the formation of various frequency components are explained. After that, a multi-type fault identification method using the XGBoost algorithm is proposed based on the mechanistic and statistical characteristics of DC-side leakage currents.In the simulation cases, the proposed fault identification method based on mechanistic features and statistical features achieves an accuracy rate exceeding 99.5%, demonstrating significant superiority over traditional statistical feature-based approaches and conventional machine learning algorithms for fault detection. These results substantiate that incorporating mechanistic features can markedly enhance the identification accuracy of DC-side leakage fault types in grid-connected photovoltaic inverters.

导出引用

李昌隆, 钟佩军, 欧灏楠, 苏盛, 孙建军, 苏华锋. 光伏并网逆变器直流侧漏电故障特征分析及识别方法研究[J]. 太阳能学报. 2026, 47(7): 483-493 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0402

Li Changlong, Zhong Peijun, Ou Haonan, Su Sheng, Sun Jianjun, Su Huafeng. RESEARCH ON FAULT CHARACTERISTICS ANALYSIS AND DIAGNOSIS METHODS FOR DC-SIDE LEAKAGE IN PHOTOVOLTAIC GRID-CONNECTED INVERTERS[J]. Acta Energiae Solaris Sinica. 2026, 47(7): 483-493 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0402

中图分类号： TM464

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