| 引用本文: | 张勤进,张瀚文,刘彦呈,陈 龙,胡王宝.基于参数自适应的直流微源虚拟发电机控制策略[J].电力系统保护与控制,2021,49(18):90-97.[点击复制] |
| ZHANG Qinjin,ZHANG Hanwen,LIU Yancheng,CHEN Long,HU Wangbao.Control strategy for a DC micro source virtual generator based on adaptive parameters[J].Power System Protection and Control,2021,49(18):90-97[点击复制] |
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| 摘要: |
| 针对分布式电源波动及负载功率突变引起直流微电网母线电压大幅波动的问题，传统虚拟直流电机控制通过模拟直流电机外特性，可抑制母线电压波动，但动态响应较差。对此，提出一种参数自适应的虚拟直流发电机控制策略。以Buck/Boost变换器作为研究对象，结合下垂控制将虚拟直流发电机应用于多变换器并联系统中。建立其小信号模型，分析关键控制参数变化对系统稳定性的影响，并给出惯性系数和阻尼系数自适应调节方程。最后，搭建仿真模型及StarSim HIL实验平台。结果表明所提控制策略在有效抑制直流母线电压波动的同时，使系统具有较快的动态响应速度。 |
| 关键词: 直流微电网 母线电压 虚拟直流发电机 自适应 小信号模型 |
| DOI：DOI: 10.19783/j.cnki.pspc.201512 |
| 投稿时间：2020-12-05修订日期：2021-02-03 |
| 基金项目:国家自然科学基金项目资助(51709028，51979021)；中央高校基本科研业务费专项资金(3132019317)；大连市高层次人才创新支持计划项目资助(2019RQ008) |
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| Control strategy for a DC micro source virtual generator based on adaptive parameters |
| ZHANG Qinjin,ZHANG Hanwen,LIU Yancheng,CHEN Long,HU Wangbao |
| (College of Marine Engineering, Dalian Maritime University, Dalian 116026, China) |
| Abstract: |
| There can be large fluctuations in a DC microgrid bus voltage caused by distributed power fluctuations and sudden changes in load power. Traditional virtual DC motor control can suppress bus voltage fluctuations by simulating the external characteristics of DC motors, but the dynamic response is poor. Because of this, a parameter adaptive virtual DC generator control strategy is proposed. Taking the Buck/Boost converter as the research object, combined with droop control, a virtual DC generator is applied to the multi-converter parallel system; its small signal model is established, and the influence of the key control parameter changes on system stability is analyzed, and the adaptive adjustment equations of inertia coefficient and damping coefficient are derived. Finally, a simulation model and StarSim HIL experimental platform are built. The results show that the proposed control strategy effectively suppresses the DC bus voltage fluctuations and enables the system to have a faster dynamic response.
This work is supported by the National Natural Science Foundation of China (No. 51709028 and No. 51979021), the Fundamental Research Funds for the Central Universities (No. 3132019317), and High-level Talents Innovation Support Project of Dalian City (No. 2019RQ008). |
| Key words: DC microgrid bus voltage virtual DC generator self-adaptive small signal model |
