Angle stability enhancement of off-grid microgrids based on model predictive control

被引:7
|
作者
Geng, Qi [1 ]
Sun, Huadong [1 ]
Zhang, Xing [1 ]
Zhou, Xiaoxin [1 ]
机构
[1] China Elect Power Res Inst CEPRI, Beijing 100192, Peoples R China
基金
中国国家自然科学基金;
关键词
Model predictive control; Off-grid microgrid; Transient stability; Energy storage system; VIRTUAL SYNCHRONOUS GENERATORS; FREQUENCY; INVERTERS; SYSTEMS;
D O I
10.1016/j.ijepes.2022.108046
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
To compensate for the lack of inertia and damping, virtual synchronous generator (VSG) control which mimic the synchronous generator (SG) is applied to converters of distributed generation. The synchronous operation of SG and multi-VSG are more likely not be maintained after a large disturbance due to the difference of frequency regulation for the VSG and SG. The rotor motion equations of SG and VSG combination as well as multi-VSG combination are established based on the VSG common reference frame. On this basis, the angle stability of an off-grid microgrid is analyzed and the impact of the controlled current source model of energy storage system (ESS) on transient stability is investigated. A model predictive control (MPC) method using ESS is proposed to enhance the angle stability of the off-gird microgrid. By establishing the prediction model of angle difference, angular frequency difference, and ESS output power and designing the cost function to minimize angle and angular frequency difference and variations of reference power as control variables, the reference active and reactive power can be optimized and then transmit to ESS. The simulation results validate the effectiveness of the proposed MPC method using ESS to enhance the angle stability of off-grid microgrid after large disturbances in the system.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] A virtual-filter-based stability enhancement control for grid-connected converter in DC microgrids under unbalanced grid conditions
    Gu, Hanwen
    Liu, Xintong
    Qi, Hao
    Ji, Yueming
    Jiao, Zaibin
    Xiang, Yinan
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2024, 161
  • [22] Distributed Photovoltaic off-Grid/on-Grid Smooth Switching Control Strategy Based on Consistency Theory
    Zhu, Zuobin
    Sun, Shumin
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2025,
  • [23] Distributed Model Predictive Control-Based Secondary Control for Power Regulation in AC Microgrids
    Xiao, Junjie
    Wang, Lu
    Wan, Yihao
    Bauer, Pavol
    Qin, Zian
    IEEE TRANSACTIONS ON SMART GRID, 2024, 15 (06) : 5298 - 5308
  • [24] Centralized Model Predictive Control for Transient Frequency Control in Islanded Inverter-Based Microgrids
    Heins, Tobias
    Josevski, Martina
    Karthik Gurumurthy, Sriram
    Monti, Antonello
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2023, 38 (03) : 2641 - 2652
  • [25] Stochastic Unit Commitment in Microgrids based on Model Predictive Control
    Alvarado Barrios, Lazaro
    Boza Valerino, Juan
    Rodriguez del Nozal, Alvaro
    Manuel Escano, Juan
    Martinez-Ramos, Jose L.
    Gonzalez-Longatt, Francisco
    2018 INTERNATIONAL CONFERENCE ON SMART ENERGY SYSTEMS AND TECHNOLOGIES (SEST), 2018,
  • [26] Model predictive control of microgrids - An overview
    Hu, Jiefeng
    Shan, Yinghao
    Guerrero, Josep M.
    Ioinovici, Adrian
    Chan, Ka Wing
    Rodriguez, Jose
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 136
  • [27] Coordinated Design of Droop Control in MTDC Grid Based on Model Predictive Control
    Li, Guiyuan
    Du, Zhengchun
    Shen, Chen
    Yuan, Zheng
    Wu, Guihong
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (03) : 2816 - 2828
  • [28] Model predictive control for optimal power flow in grid-connected unbalanced microgrids
    Erazo-Caicedo, David
    Mojica-Nava, Eduardo
    Revelo-Fuelagan, Javier
    ELECTRIC POWER SYSTEMS RESEARCH, 2022, 209
  • [29] A Novel Voltage Stabilization and Power Sharing Control Method Based on Virtual Complex Impedance for an Off-Grid Microgrid
    Wai, Rong-Jong
    Zhang, Quan-Quan
    Wang, Yu
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2019, 34 (02) : 1863 - 1880
  • [30] Voltage stability enhancement via model predictive control of load
    Hiskens, IA
    Gong, B
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2006, 12 (01) : 117 - 124