Performance tradeoffs of dynamically controlled grid-connected inverters in low inertia power systems

被引:0
|
作者
Jiang, Yan [1 ]
Pates, Richard [2 ]
Mallada, Enrique [1 ]
机构
[1] Johns Hopkins Univ, Dept Elect & Comp Engn, Baltimore, MD 21218 USA
[2] Lund Univ, Dept Automat Control, Lund, Sweden
关键词
SYNCHRONIZATION; NETWORKS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Implementing frequency response using grid-connected inverters is one of the popular proposed alternatives to mitigate the dynamic degradation experienced in low inertia power systems. However, such solution faces several challenges as inverters do not intrinsically possess the natural response to power fluctuations that synchronous generators have. Thus, to synthetically generate this response, inverters need to take frequency measurements, which are usually noisy, and subsequently make changes in the output power, which are therefore delayed. This paper explores the system-wide performance tradeoffs that arise when measurement noise, delayed actions, and power disturbances are considered in the design of dynamic controllers for grid-connected inverters. Using a recently proposed dynamic droop (iDroop) control for grid-connected inverters that is inspired by classical first order lead-lag compensation, we show that the sets of parameters that result in highest noise attenuation, power disturbance mitigation, and delay robustness do not necessarily have a common intersection. In particular, lead compensation is desired in systems where power disturbances are the predominant source of degradation, while lag compensation is a better alternative when the system is dominated by delays or frequency noise. Our analysis further shows that iDroop can outperform the standard droop alternative in both joint noise and disturbance mitigation, and delay robustness.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] Distributed Power System Virtual Inertia Implemented by Grid-Connected Power Converters
    Fang, Jingyang
    Li, Hongchang
    Tang, Yi
    Blaabjerg, Frede
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2018, 33 (10) : 8488 - 8499
  • [32] Unified control strategy of multiple grid-connected inverters for grid-connected/parallel operation
    Kan, Jiarong
    Xie, Shaojun
    Guo, Liang
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2013, 33 (06): : 87 - 93
  • [33] Optimized Direct Power Control for Single Phase Grid-connected Inverters
    Djema, Mohamed Amine
    Boudour, Mohamed
    PROCEEDINGS OF 2019 ALGERIAN LARGE ELECTRICAL NETWORK CONFERENCE (CAGRE), 2019, : 121 - 126
  • [34] Power Loss Analysis for Single Phase Grid-Connected PV Inverters
    Nge, Chee Lim
    Midtgard, Ole-Morten
    Norum, Lars
    Saetre, Tor Oskar
    INTELEC 09 - 31ST INTERNATIONAL TELECOMMUNICATIONS ENERGY CONFERENCE, 2009, : 493 - +
  • [35] Delta Power Control Strategy for Multistring Grid-Connected PV Inverters
    Sangwongwanich, Ariya
    Yang, Yongheng
    Blaabjerg, Frede
    Sera, Dezso
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2017, 53 (04) : 3862 - 3870
  • [36] Research on Self-synchronization Strategy of Grid-connected Inverters in Weak Power Grid
    Zheng, Xuemei
    Song, Jiachen
    Li, Haoyu
    IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2020, : 3785 - 3790
  • [37] Adaptive Damping Control Scheme for Wind Grid-Connected Power Systems With Virtual Inertia Control
    Wang, Tong
    Jin, Mingxin
    Li, Yongda
    Wang, Jiaming
    Wang, Zengping
    Huang, Shilou
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2022, 37 (05) : 3902 - 3912
  • [38] Power Control of Grid-Connected Photovoltaic Systems
    Zanasi, Roberto
    Cuoghi, Stefania
    2011 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2011,
  • [39] Low Current Ripple Parameter-Free MPCC of Grid-Connected Inverters for PV Systems
    Yin, Zhilong
    Xu, Guoze
    Yu, Feng
    Wang, Zhiguo
    Xue, Shuilian
    APPLIED SCIENCES-BASEL, 2023, 13 (15):
  • [40] Rapid Power Control and MPPT Method of Voltage Controlled Grid-connected Inverters In Very Weak Grids
    Guo, Zixuan
    Zhang, Xing
    Li, Ming
    Wang, Jilei
    Han, Feng
    Fu, Xinxin
    Chen, Shaolong
    PROCEEDINGS OF THE 2021 IEEE 16TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2021), 2021, : 1557 - 1563