引用本文: | 王兴贵,张文莲,薛 晟.基于EEMD的MMC串联结构微电网微源动态冗余控制策略[J].电力系统保护与控制,2021,49(22):34-42.[点击复制] |
WANG Xinggui,ZHANG Wenlian,XUE Sheng.A micro-source dynamic redundancy control strategy based on EEMD for MMC series microgrid[J].Power System Protection and Control,2021,49(22):34-42[点击复制] |
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摘要: |
为提高MMC串联结构微电网系统的可靠性,研究一种基于集合经验模态分解(Ensemble Empirical Mode Decomposition, EEMD)的微源动态冗余控制策略。介绍了系统在非故障运行时,通过微源原始功率EEMD分解、微源子模块选择、控制信号扩展与分配三个步骤实现微源动态冗余控制。系统在故障运行时,先将故障微源子模块剔除,再按照非故障运行状态运行。最后,以A相上桥臂所有微源子模块为例,验证了该策略不仅可以实现微源动态冗余控制,而且能够提高微源的利用率。同时对系统有冗余和无冗余情况下,微源子模块发生故障时的输出电压进行了仿真分析,结果证明了所提动态冗余控制策略的可靠性和有效性。 |
关键词: 集合经验模态分解 微电网 微源 动态冗余 功率分解 |
DOI:DOI: 10.19783/j.cnki.pspc.210125 |
投稿时间:2021-01-28修订日期:2021-03-17 |
基金项目:国家自然科学基金项目资助(51967011) |
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A micro-source dynamic redundancy control strategy based on EEMD for MMC series microgrid |
WANG Xinggui,ZHANG Wenlian,XUE Sheng |
(College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China) |
Abstract: |
To improve the reliability of an MMC series structured microgrid system, a micro-source dynamic redundancy control strategy based on Ensemble Empirical Mode Decomposition (EEMD) is studied. The system is introduced to realize micro-source dynamic redundancy control through three steps: micro-source original power EEMD decomposition, generation module selection, and control signal expansion and distribution during non-fault operation; when the system is in fault operation, the faulty generation module is removed first, and then operated according to the non-fault operation state. Finally, taking all generation modules of the upper bridge arm of phase A as an example, it is verified that the strategy can not only realize microsource dynamic redundancy control, but also can improve the utilization rate of microsources. At the same time, the output voltage when the generation module is in the system with and without redundancy is simulated and analyzed, and the results prove the reliability and effectiveness of the proposed dynamic redundancy control strategy.
This work is supported by the National Natural Science Foundation of China (No. 51967011). |
Key words: ensemble empirical mode decomposition microgrid micro source dynamic redundancy power decomposition |