| 引用本文: | 李锦键,王兴贵,李昱,丁颖杰,薛晟.基于波动量自适应补偿的HCSY-MG系统并网电流模型预测控制[J].控制理论与应用,2025,42(12):2517~2527.[点击复制] |
| LI Jin-jian,WANG Xing-gui,LI Yu,DING Ying-jie,XUE Sheng.Model predictive control of grid-connected current in HCSY-MG system based on adaptive compensation of fluctuating quantities[J].Control Theory & Applications,2025,42(12):2517~2527.[点击复制] |
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| 基于波动量自适应补偿的HCSY-MG系统并网电流模型预测控制 |
| Model predictive control of grid-connected current in HCSY-MG system based on adaptive compensation of fluctuating quantities |
| 摘要点击 97 全文点击 17 投稿时间：2024-07-19 修订日期：2025-11-10 |
| 查看全文 查看/发表评论 下载PDF阅读器 HTML |
| DOI编号 10.7641/CTA.2025.40380 |
| 2025,42(12):2517-2527 |
| 中文关键词 微电网 模型预测控制 并网电流 波动量补偿 改进青蒿素优化 |
| 英文关键词 microgrids model predictive control grid-connected current volatility compensation improved artemis inin optimization algorithm |
| 基金项目 国家自然科学基金项目(51967011),甘肃省科技计划项目(联合科研基金重点项目)(24JRRA1205),甘肃省杰出青年基金项目(22JR5RA221)资助. |
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| 中文摘要 |
| 在半桥变流器串联结构星型连接微电网(HCSY-MG)并网系统中,可再生能源功率的波动将会引起并网电
流中出现直流和基频波动量.为解决以上HCSY-MG系统存在的特殊问题,有针对性地提出一种基于波动量自适应
补偿的并网电流模型预测控制策略.在可再生能源存在随机波动的情况下,得到HCSY-MG系统的并网电流表达式,
并对其特性进行分析.从上述特性出发,将并网电流表达式作为预测模型,并使用混沌化和自适应思想对青蒿素优
化算法进行改进,提高滚动优化环节的寻优速度,同时降低并网电流中包含的波动量,提高控制效果与精度.最后与
现有方法进行仿真和实验对比,验证了本文所提控制策略的可行性、有效性和针对性. |
| 英文摘要 |
| In the grid-connected system of a half-bridge converter series Y-connection microgrid (HCSY-MG), fluc
tuations in renewable energy power will introduce DC and fundamental frequency fluctuation components in the grid
connected current. To address this specific issue in the HCSY-MG system, a grid-connected current model predictive
control strategy based on adaptive compensation of fluctuation components is proposed. Under the condition of stochas
tic fluctuations in renewable energy, the grid-connected current expression of the HCSY-MG system is derived, and its
characteristics are analyzed. Based on these characteristics, the grid-connected current expression is utilized as the predic
tive model, and the artemisnin optimization algorithm is improved using chaotic and adaptive mechanisms to enhance the
search speed in the rolling optimization process. This approach effectively reduces the fluctuation components in the grid
connected current while improving control performance and accuracy. Finally, simulations and experimental comparisons
with existing methods verify the feasibility, effectiveness, and specificity of the proposed control strategy. |
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