基于组合权重-蒙特卡洛法的PMSG低电压穿越性能优化研究

高本锋; 张江放; 邓晓洋; 吴林林; 王潇; 郑展翔

doi:10.19912/j.0254-0096.tynxb.2024-0834

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (7) : 439-449. DOI: 10.19912/j.0254-0096.tynxb.2024-0834

第二十七届中国科协年会学术论文

基于组合权重-蒙特卡洛法的PMSG低电压穿越性能优化研究

高本锋¹, 张江放¹, 邓晓洋², 吴林林², 王潇², 郑展翔¹

作者信息 +

RESEARCH ON PMSG LOW VOLTAGE RIDE THROUGH PERFORMANCE OPTIMIZATION BASED ON COMBINED WEIGHTING-MONTE CARLO METHOD

Gao Benfeng¹, Zhang Jiangfang¹, Deng Xiaoyang², Wu Linlin², Wang Xiao², Zheng Zhanxiang¹

Author information +

文章历史 +

摘要

新能源汇集送端电网配套火电机组少,电网强度较弱,交流短路故障下的电压跌落以及故障后的暂态过电压易引发风电脱网,需同时关注风电机组的低电压穿越特性和机端暂态过电压特性。针对现有的控制参数优化方法所用的目标函数不能同时兼顾风电机组的低电压穿越特性和暂态过电压特性的问题,提出一种基于组合权重-蒙特卡洛法的永磁直驱风力机（PMSG）低电压穿越性能优化方法。首先,建立PMSG的暂态无功电压响应解析模型,通过参数灵敏度分析辨识弱电网下影响PMSG低电压穿越性能的关键控制参数,并计算得到待优化参数的优化可行域。然后,基于组合权重法确定能够同时反映PMSG低电压穿越特性和机端暂态过电压特性的综合优化指标。以此为基础,在优化可行域内运用蒙特卡洛算法对关键控制参数进行优化。最后,在不同运行工况下对优化后的控制参数进行验证。结果表明,采用优化控制参数的PMSG在弱电网下的低电压穿越综合性能有明显提升,且表现出较好的动态响应性能,优化控制参数也适用于不同电压跌落程度的工况,证明了优化方法的有效性和适用性。

Abstract

There are few thermal power units in the power grid of the new energy collection and transmission end, and the power grid strength is weak. The voltage drop under AC short circuit fault and the transient overvoltage after the faults can easily to cause wind turbines off-grid. It is necessary to pay attention to the low voltage ride through characteristics of the wind turbines and the transient overvoltage characteristics of the units port. In response to the issue that the objective functions used in existing control parameter optimization methods cannot simultaneously address the low voltage ride-through characteristics and transient overvoltage characteristics of wind turbines, a low voltage ride-through performance optimization method for permanent magnet direct drive wind turbines （PMSG） based on combined weighting-Monte Carlo method is proposed. Firstly, the transient reactive voltage response analytical model of PMSG is established, and the key control parameters affecting the low voltage ride through performance of PMSG are identified by parameter sensitivity analysis, and the optimization feasible domain of the parameters to be optimized is calculated. Then, based on the combined weighting method, a comprehensive optimization index which can reflect both the low voltage ride through characteristics and transient overvoltage characteristics of PMSG is determined. On this basis, Monte Carlo algorithm is used to optimize the key control parameters in the optimization feasible domain. Finally, the optimized control parameters are verified under different operating conditions. The results show that PMSG with optimized control parameters has significantly improved the comprehensive performance of low voltage ride through under weak power grid, and shows better dynamic response performance. The optimized control parameters are also applicable to the scenarios with different voltage sag degrees, which proves the effectiveness and applicability of the optimization method.

导出引用

高本锋, 张江放, 邓晓洋, 吴林林, 王潇, 郑展翔. 基于组合权重-蒙特卡洛法的PMSG低电压穿越性能优化研究[J]. 太阳能学报. 2025, 46(7): 439-449 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0834

Gao Benfeng, Zhang Jiangfang, Deng Xiaoyang, Wu Linlin, Wang Xiao, Zheng Zhanxiang. RESEARCH ON PMSG LOW VOLTAGE RIDE THROUGH PERFORMANCE OPTIMIZATION BASED ON COMBINED WEIGHTING-MONTE CARLO METHOD[J]. Acta Energiae Solaris Sinica. 2025, 46(7): 439-449 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0834

中图分类号： TM712

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