Virtual Inertia Evaluation and Coordinated Design of Control Parameters for Multi-converter DC System

被引:0
|
作者
Zhang K. [1 ,2 ]
Zhu L. [1 ,2 ]
Zhao X. [1 ,2 ]
Li X. [1 ,2 ]
Guo L. [1 ,2 ]
Wang C. [1 ,2 ]
机构
[1] Key Laboratory of the Ministry of Education on Smart Power Grids, Tianjin University, Tianjin
[2] Key Laboratory of Smart Energy & Information Technology of Tianjin Municipality, Tianjin
基金
中国博士后科学基金;
关键词
analogous virtual synchronous generator (AVSG); coordinated design; DC system; equivalent reduced-order model; output impedance; virtual inertia;
D O I
10.7500/AEPS20230109004
中图分类号
学科分类号
摘要
Aiming at the unintended virtual inertia problems in the multi-converter DC systems based on the analogous virtual synchronous generator (AVSG), a general analysis method for virtual inertia of the multi-converter DC systems is proposed, which effectively corrects the system-level external characteristics of the equivalent AVSG. Firstly, multiple control loops of AVSG are equated to one equivalent control loop of AVSG, and an equivalent single AVSG model of the DC system is established. Secondly, a system-level virtual inertia evaluation method is proposed to evaluate the system-level virtual inertia from the perspective of frequency-domain response characteristics of the output impedance of the equivalent single AVSG model. Thirdly, the influence of the voltage proportional-integral (PI) control parameters on the virtual inertia characteristics is discussed. And the coordinated design between the voltage PI control parameters and the virtual inertia coefficients is carried out. Finally, a switching model of the multi-converter DC system is built on the PLECS simulation software and RT-BOX hardware-in-the-loop experimental platform. The effectiveness and feasibility of the equivalent single AVSG model and the coordinated design of control parameters are verified in various experimental conditions. © 2024 Automation of Electric Power Systems Press. All rights reserved.
引用
收藏
页码:87 / 95
页数:8
相关论文
共 21 条
  • [1] ZHUO Zhenyu, ZHANG Ning, XIE Xiaorong, Et al., Key technologies and developing challenges of power system with high proportion of renewable energy[J], Automation of Electric Power Systems, 45, 9, pp. 171-191, (2021)
  • [2] LIU Jia, TANG Zao, ZENG Pingliang, Et al., Adaptive planning of transmission network coordinating distribution networks in a hierarchical manner with high penetration of renewable energy [J], Power System Technology, 46, 8, pp. 3105-3115, (2022)
  • [3] LI Hui, Dong LIU, YAO Danyang, Analysis and reflection on the development of power system towards the goal of carbon emission peak and carbon neutrality [J], Proceedings of the CSEE, 41, 18, pp. 6245-6259, (2021)
  • [4] Bangsong LI, Key control technology for hybrid AC-DC microgrid power [J], Electronic Technology & Software Engineering, 12, (2019)
  • [5] DONG Xuzhu, HUA Zhuhu, SHANG Lei, Et al., Morphological characteristics and technology prospect of new distribution system [J], High Voltage Engineering, 47, 9, pp. 3021-3035, (2021)
  • [6] WANG T Y,, Et al., Virtual inertia adaptive control strategy of ESU in DC microgrid[J], Energies, 15, 17, (2022)
  • [7] MENG Fei, QU Hua, GUO Tianheng, Et al., Adaptive coordinated control of inertia and damping for DC microgrid[J], Power System Protection and Control, 50, 20, pp. 149-157, (2022)
  • [8] WANG Su'e, WU Yongbin, XIONG Liansong, Et al., Virtual inertia control strategy for grid-tied photovoltaic power generation system[J], High Voltage Engineering, 46, 11, pp. 3743-3751, (2020)
  • [9] ZHU Xiaorong, XIE Zhiyun, JING Shuzhi, Virtual inertia control and stability analysis of DC micro-grid[J], Power System Technology, 41, 12, pp. 3884-3893, (2017)
  • [10] LIU Yingpei, ZHOU Suwen, LIANG Haiping, Et al., Flexible virtual inertial control strategy of photovoltaic-energy storage DC distribution network [J], Electric Power Automation Equipment, 41, 5, pp. 107-113, (2021)