不平衡电网下的MMC变换器RTH优化滑模控制技术研究
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1.上海电力大学自动化工程学院 上海 200090; 2.上海太阳能工程技术研究中心 上海 200241

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TM46;TN7

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国家自然科学基金(51777120)、上海市2021年度“科技创新行动计划”科技支撑碳达峰碳中和专项(第一批)(21DZ1207502)项目资助


Research on MMC performance under unbalanced grids based on RTH optimized sliding mode control
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1.School of Automatic Engineering,Shanghai University of Electric Power,Shanghai 200090,China; 2.Shanghai Solar Energy Engineering Technology Research Center Co., Ltd., Shanghai 200241, China

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    摘要:

    针对模块化多电平换流器(MMC)在电网电压不平衡条件下存在的交流侧输出电流和直流侧环流谐波畸变的问题,提出了一种基于红尾鹰算法(RTH)优化滑模的控制策略。首先,根据MMC的拓扑结构,分解不平衡电流并建立其在不平衡电网电压下的数学模型。然后,提出一种新型趋近律,分析了其性能并通过Lyapunov函数验证其稳定性。在此基础上,采用红尾鹰优化算法对新型趋近律的滑模控制进行动态优化。最后,通过MATLAB/Simulink平台的仿真实验,与积分滑模控制和无优化下的新型趋近律滑模控制进行了对比,结果表明该方法在动态响应和稳态精度方面均具有显著优势。

    Abstract:

    The problem of harmonic distortion in the AC-side output current and DC-side circulating current of the modular multilevel converter (MMC) under unbalanced grid voltage conditions is addressed by proposing a control strategy based on the red-tailed hawk algorithm (RTH) optimized sliding mode. Firstly, the unbalanced current is decomposed according to the MMC′s topology, and its mathematical model under unbalanced grid voltage is established. Then, a novel reaching law is introduced, its performance is analyzed, and its stability is verified through the Lyapunov function. On this basis, the red-tailed hawk optimization algorithm is applied to dynamically optimize the sliding mode control of the new reaching law. Finally, through simulation experiments on the MATLAB/Simulink platform, comparisons are made with integral sliding mode control and the new reaching law sliding mode control without optimization. The results show that the proposed method has significant advantages in both dynamic response and steady-state accuracy.

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杨旭红,胡英凯,朱小芳,王顺.不平衡电网下的MMC变换器RTH优化滑模控制技术研究[J].电子测量技术,2026,49(5):117-125

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  • 在线发布日期: 2026-05-08
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