| 引用本文: | 郑 峰,苏明鸿,陈 静,等.基于改进模型预测的并网变换器自适应虚拟惯性控制策略研究[J].电力系统保护与控制,2024,52(13):35-46.[点击复制] |
| ZHENG Feng,SU Minghong,CHEN Jing,et al.An adaptive virtual inertia control strategy for a grid-connected converter based on improved model prediction[J].Power System Protection and Control,2024,52(13):35-46[点击复制] |
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| 摘要: |
| 针对低惯性直流微电网中母线电压易受网内功率波动影响的问题，提出了一种基于改进模型预测的直流微电网并网变换器自适应虚拟惯性控制策略。首先，电压外环引入自适应类虚拟同步发电机控制，通过将控制方程中的虚拟惯性参数与电压变化率结合起来，实现虚拟惯性参数的灵活可调。其次，在电流内环引入模型预测控制，并采用改进延时补偿算法，实现对给定电流值快速跟踪的同时改善控制系统的动态特性。最后，基于Matlab/Simulink建立了系统模型进行仿真。结果表明，与传统的虚拟惯性控制策略相比较，所提控制策略下的直流母线电压波动幅值更小且动态性能更佳，可以有效提高直流母线电压的稳定性和直流微电网的惯性。 |
| 关键词: 直流微电网 并网变换器 自适应虚拟惯性控制 模型预测控制 |
| DOI：10.19783/j.cnki.pspc.240025 |
| 投稿时间：2024-01-05修订日期：2024-04-19 |
| 基金项目:国家自然科学基金项目资助(52167010) |
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| An adaptive virtual inertia control strategy for a grid-connected converter based on improved model prediction |
| ZHENG Feng1,SU Minghong1,CHEN Jing2,LIU Baojin1,LIU Wanling3,LIANG Ning4 |
| (1. School of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China; 2. State Grid Lanzhou Power
Supply Company, Lanzhou 730070, China; 3. College of Computer and Data Science, Fuzhou University, Fuzhou 350108, China;
4. Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China) |
| Abstract: |
| There is a problem that the inertia of DC microgrid is low and it is easy for the voltage of a DC bus to be affected by power fluctuation in the network. Thus an adaptive virtual inertia control strategy based on improved model prediction for grid-connected converter of DC microgrid is proposed. First, adaptive analog virtual synchronous generator control is introduced into the voltage outer loop and, by combining the inertial parameters with the voltage change rate, flexible adjustment of the inertial parameters is realized. Secondly, model predictive control is applied in the current inner loop, along with an improved delay compensation algorithm, to achieve fast tracking of the desired current value and enhance the dynamic characteristics of the control system. Finally, a system model is established based on Matlab/Simulink for simulation. The results show that, compared with the traditional virtual inertia control strategy, the DC bus voltage fluctuation amplitude of the proposed control strategy is smaller and the dynamic performance is better. This can effectively improve the stability of the DC bus voltage and the inertia of the DC microgrid. |
| Key words: DC microgrid grid-connected converter adaptive virtual inertia control model predictive control |
