双有源桥DC-DC变换器H∞混合灵敏度控制及优化

doi:10.19912/j.0254-0096.tynxb.2021-0519

摘要/Abstract

摘要： 以双有源桥DC-DC变换器（DAB）为研究对象,针对交直流微网中因可再生能源的波动性和随机性、测量误差、运行工况变化等原因所导致的参数摄动问题,提出基于差分进化算法（DE）优化的H_∞混合灵敏度鲁棒控制（H_∞-MSC）策略。通过选取合适的加权函数对系统不同频段特性进行规划,得到理想的动态性能及鲁棒性能,并针对加权函数难以选取的缺点,采用DE算法对选择过程进行优化,通过迭代寻优匹配最佳控制器参数,改进H_∞-MSC算法。最后,通过半实物实验对比例积分（PI）单移相控制算法和DE-H_∞-MSC算法进行对比分析。研究结果表明,DE-H_∞-MSC算法能有效增强DAB系统的动态性能和鲁棒性能,可提高微电网系统运行的稳定性。

关键词: DC-DC变换器, 鲁棒控制, 微电网, H_∞混合灵敏度, 差分进化算法

Abstract: This article addresses robust control of dual active bridge DC-DC converters. A differential evolution algorithm （DE） optimized H_∞ mixed sensitivity control （H_∞-MSC） strategy is proposed to tackle the problem of parameter perturbation caused by the volatility and randomness of renewable energy in AC and DC microgrid, measurement errors as well as changes in operating conditions. Dynamic performance and robustness are improved with this method thank the planning of frequency-domain characteristics based on selection of specific weighting functions. The weighting functions are thus essential to the performance of the system and sophisticated design is necessary. To this end a differential evolution （DE） algorithm is adopted that optimize the relevant parameters with iteration. The proposed DE-H_∞-MSC algorithm is compared with the widely-applied proportional-integral （PI） single-phase-shift control algorithm using hardware-in-the-loop experiments. The results show that the DE-H_∞-MSC algorithm effectively enhances the dynamic performance and robustness of the DAB system, and improve the stability of the microgrid system, especially in the case of large parameter perturbations.

Key words: DC-DC converters, robust control, microgrids, H_∞ mixed sensitivity, differential evolution algorithm

中图分类号:

TM46

任皓妍, 马磊, 彭林, 程少昆, 何为一, 罗宇辰. 双有源桥DC-DC变换器H_∞混合灵敏度控制及优化[J]. 太阳能学报, 2022, 43(11): 443-450.

Ren Haoyan, Ma Lei, Peng Lin, Cheng Shaokun, He Weiyi, Luo Yuchen. H_∞ MIXED SENSITIVITY CONTROL AND OPTIMIZATION OF DUAL ACTIVE BRIDGE DC-DC CONVERTER[J]. Acta Energiae Solaris Sinica, 2022, 43(11): 443-450.

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