电源学报

非隔离型光伏并网逆变器漏电流抑制控制策略

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高锋阳中国电源学会高级会员 , 杨凯文 , 宋志翔 , 高翾宇 , 高建宁

电源学报 | DC-AC逆变器 2025,23(5): 51-60

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电源学报 |DC-AC逆变器 2025 , 23 (5) : 51 -60

非隔离型光伏并网逆变器漏电流抑制控制策略

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高锋阳（1970—　），男，中国电源学会高级会员，硕士，教授。研究方向：大功率电源及牵引电机系统。E-mail：ljdgaofy@lzjtu.edu.cn。

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高锋阳（1970—　），男，中国电源学会高级会员，硕士，教授。研究方向：大功率电源及牵引电机系统。E-mail：ljdgaofy@lzjtu.edu.cn。

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宋志翔（1997—　），男，硕士研究生。研究方向：牵引供电系统和“源-网-荷-储”。E-mail：402215819@qq.com。

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宋志翔（1997—　），男，硕士研究生。研究方向：牵引供电系统和“源-网-荷-储”。E-mail：402215819@qq.com。

高翾宇（1998—　），女，硕士研究生。研究方向：新型城轨列车的车载储能技术。E-mail：245463970@qq.com。

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高翾宇（1998—　），女，硕士研究生。研究方向：新型城轨列车的车载储能技术。E-mail：245463970@qq.com。

高建宁（1998—　），男，硕士研究生。研究方向：永磁同步电机多物理场耦合研究和结构多目标优化设计。E-mail：321513897@qq.com。

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高建宁（1998—　），男，硕士研究生。研究方向：永磁同步电机多物理场耦合研究和结构多目标优化设计。E-mail：321513897@qq.com。

高锋阳中国电源学会高级会员, 杨凯文, 宋志翔, 高翾宇, 高建宁

作者信息

兰州交通大学自动化与电气工程学院，兰州　730070

通讯作者:

杨凯文（1997—　），男，通信作者，硕士研究生。研究方向：电力电子变换器电磁兼容及模型预测控制。E-mail：kaiweny1997@163.com。

作者简介:

高锋阳（1970—　），男，中国电源学会高级会员，硕士，教授。研究方向：大功率电源及牵引电机系统。E-mail：ljdgaofy@lzjtu.edu.cn。

宋志翔（1997—　），男，硕士研究生。研究方向：牵引供电系统和“源-网-荷-储”。E-mail：402215819@qq.com。

高翾宇（1998—　），女，硕士研究生。研究方向：新型城轨列车的车载储能技术。E-mail：245463970@qq.com。

高建宁（1998—　），男，硕士研究生。研究方向：永磁同步电机多物理场耦合研究和结构多目标优化设计。E-mail：321513897@qq.com。

Control Strategy for Leakage Current Suppression in Non-isolated Grid-connected Photovoltaic Inverter

Fengyang GAO Senior Member, CPSS, Kaiwen YANG, Zhixiang SONG, Xuanyu GAO, Jianning GAO

Affiliations

College of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

出版时间: 2025-09-30 doi: 10.13234/j.issn.2095-2805.2025.5.51

文章导航

摘要

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非隔离型光伏逆变器并网系统中，电磁干扰易引发漏电流问题。为此，针对三电平逆变器提出1种改进的模型预测控制策略。首先，建立逆变器并网系统数学模型，分析漏电流产生机理及其与共模电压的关系；其次，通过控制共模电压变化率，改进模型预测直接功率控制算法，优化寻优结果，实现对漏电流的抑制；最后，从输出功率、并网电流谐波畸变、直流侧中点电位平衡及漏电流幅值方面，通过仿真对比分析传统策略和所提改进模型预测控制策略的效果。结果表明，所提策略在上述4个方面均有良好表现，相比传统模型预测控制策略，漏电流抑制效果可达99.5%。

关键词

三电平逆变器 / 光伏系统 / 模型预测控制 / 漏电流 / 共模电压

Abstract

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In a grid-connected system of non-isolated photovoltaic (PV) inverters, the electromagnetic interference causes the problem of leakage current. Aimed at this problem, an improved model predictive control strategy is proposed for a three-level inverter. First, a mathematical model of the grid-connected inverter system is established to analyze the generation mechanism of leakage current and its relationship with the common-mode voltage. Second, the common-mode voltage variation rate is controlled to improve the model predictive direct power control algorithm, thereby optimizing the optimization result to achieve the suppression of leakage current. Finally, the conventional strategy and the proposed improved model predictive control strategy are compared and analyzed through simulations in terms of output power, harmonic distortion of grid-connected current, DC-side neutral point potential balance and leakage current amplitude. Results show that the proposed strategy performs well in all the above four aspects, and its leakage current suppression effect can reach 99.5% compared with the conventional model predictive control strategy.

Key words

Three-level inverter / photovoltaic (PV) system / model predictive control / leakage current / common-mode voltage

引用本文

高锋阳中国电源学会高级会员, 杨凯文, 宋志翔, 高翾宇, 高建宁. 非隔离型光伏并网逆变器漏电流抑制控制策略. 电源学报, 2025 , 23 (5) : 51 -60 . DOI: 10.13234/j.issn.2095-2805.2025.5.51

Fengyang GAO, Kaiwen YANG, Zhixiang SONG, Xuanyu GAO, Jianning GAO. Control Strategy for Leakage Current Suppression in Non-isolated Grid-connected Photovoltaic Inverter[J]. Journal of Power Supply, 2025 , 23 (5) : 51 -60 . DOI: 10.13234/j.issn.2095-2805.2025.5.51

基金

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甘肃省科技厅重点研发资助项目(18YF1FA058)

参考文献

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文献

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2025年第23卷第5期

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doi: 10.13234/j.issn.2095-2805.2025.5.51

接收时间：2022-07-27
首发时间：2026-10-26
出版时间：2025-09-30

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出版历史

收稿日期：2022-07-27
修回日期：2022-09-12
录用日期：2022-10-29

基金

Gansu Provincial Science and Technology Department Key Research and Development Project(18YF1FA058)

甘肃省科技厅重点研发资助项目(18YF1FA058)

作者信息

兰州交通大学自动化与电气工程学院，兰州　730070

通讯作者:

杨凯文（1997—　），男，通信作者，硕士研究生。研究方向：电力电子变换器电磁兼容及模型预测控制。E-mail：kaiweny1997@163.com。

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https://castjournals.cast.org.cn/joweb/dyxb/CN/10.13234/j.issn.2095-2805.2025.5.51

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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