储能科学与技术 ›› 2024, Vol. 13 ›› Issue (11): 3993-4004.doi: 10.19799/j.cnki.2095-4239.2024.0504

• 储能系统与工程 • 上一篇    下一篇

储能系统的参数自适应改进VDCM控制策略

乔顺庆1(), 田桂珍1,2(), 张建伟1, 韩小宇1   

  1. 1.内蒙古工业大学电力学院,内蒙古 呼和浩特 010000
    2.大规模储能技术教育部工程研究中心,内蒙古 呼和浩特 010080
  • 收稿日期:2024-06-04 修回日期:2024-07-14 出版日期:2024-11-28 发布日期:2024-11-27
  • 通讯作者: 田桂珍 E-mail:1751238288@qq.com;tianguizhen@126.com
  • 作者简介:乔顺庆(1994—),男,硕士研究生,研究方向为新能源发电控制技术等,E-mail:1751238288@qq.com
  • 基金资助:
    内蒙古自治区科技重大专项(2020ZD0014);内蒙古自然科学基金项目(2021MS05003)

Parameter-adaptive improved VDCM control strategy for energy storage systems

Shunqing QIAO1(), Guizhen TIAN1,2(), Jianwei ZHANG1, Xiaoyu HAN1   

  1. 1.College of Electric Power, Inner Mongolia University of Technology Hohhot 010000, Nei Mongol, China
    2.Engineering Research Center of Large Energy Storage Technology of Ministry of Education, Hohhot 010080, Nei Mongol, China
  • Received:2024-06-04 Revised:2024-07-14 Online:2024-11-28 Published:2024-11-27
  • Contact: Guizhen TIAN E-mail:1751238288@qq.com;tianguizhen@126.com

摘要:

在独立运行直流微电网中,由于接入大量电力电子变换装置,系统惯性较低,阻尼较小,系统稳定性较差,同时,新能源和负载的功率波动将引起母线电压波动,严重时会影响直流微电网的稳定运行。为增强系统惯性,本文研究基于参数自适应改进虚拟直流电机(virtual DC motor, VDCM)控制策略,提升母线电压暂态稳定性。介绍虚拟直流电机控制原理,建立储能控制系统的小信号模型,深入分析虚拟转动惯量、阻尼系数和电压调节器比例、积分参数对系统稳定性影响,以及母线电压波动过程中各波动阶段对参数大小的需求。在此基础上,建立虚拟转动惯量、比例系数和积分系数与母线电压偏差的函数关系式。根据电压偏差动态调节VDCM和电压调节器参数,缩短电压的扰动恢复时间的同时减小电压波动。通过搭建的RTDS和RCP硬件在环实验系统,验证所提控制策略的正确性与可行性。

关键词: 直流微电网, 储能控制, 参数自适应, 虚拟直流电机, 硬件在环实验

Abstract:

During the independent operation of DC microgrids, the integration of numerous power electronic conversion devices, coupled with the power fluctuations of renewable energy sources and variable loads, results in reduced inertia, lower damping, and compromised stability. These conditions often cause significant bus voltage fluctuations, potentially threatening the stable operation of the DC microgrid. To address these challenges, this paper investigates an enhanced virtual DC motor (VDCM) control strategy based on parameter adaptation to improve the transient stability of the bus voltage. The control principle of the virtual DC motor is introduced, and a small-signal model of the energy storage control system is established. An in-depth analysis is conducted on the influence of virtual inertia, damping coefficient, and voltage regulator proportional and integral parameters on system stability, highlighting the parameter requirements during each stage of bus voltage fluctuations. Based on this analysis, functional relationships between virtual inertia, proportional coefficient, integral coefficient, and bus voltage deviation are derived. By dynamically adjusting VDCM and voltage regulator parameters in response to voltage deviations, the proposed strategy effectively reduces recovery time under disturbances and minimizes voltage fluctuations. The correctness and feasibility of the proposed control strategy are validated through a hardware-in-loop experimental system utilizing a real-time digital simulator and rapid control prototyping.

Key words: DC microgrid, energy storage control, parameter adaptive, VDCM, hardware-in-loop experiment

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