Hierarchical Time-Series Assessment and Control for Transient Stability Enhancement in Islanded Microgrids

被引:7
作者
Shen, Yang [1 ]
Peng, Yelun [1 ]
Shuai, Zhikang [1 ]
Zhou, Quan [1 ]
Zhu, Lipeng [1 ]
Shen, Z. John [2 ]
Shahidehpour, Mohammad [3 ]
机构
[1] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Peoples R China
[2] Simon Fraser Univ, Sch Mechatron Syst Engn, Surrey, BC V3T 0A3, Canada
[3] Illinois Inst Technol, Elect & Comp Engn Dept, Chicago, IL 60616 USA
基金
中国国家自然科学基金;
关键词
Power system stability; Microgrids; Transient analysis; Stability criteria; Logic gates; Renewable energy sources; Heuristic algorithms; Islanded microgrids; grid-forming converters; gated recurrent unit neural network; renewable energy integration; transient stability assessment; emergency control; POWER; DRIVEN; SCHEME; FREQUENCY; FRAMEWORK;
D O I
10.1109/TSG.2023.3237965
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
The grid-forming converters would integrate battery energy storage systems (BESSs) in islanded microgrids for smoothing out the uncertain fluctuations of renewable energy resources. However, gird-forming converters would pose transient instability risks under large disturbances, which could require fast and accurate stability assessment methods in such challenging and uncertain cases. In this work, a hierarchical time-series assessment and control (HTSAC) framework is proposed for assessing the transient stability of grid-forming converters in islanded microgrids. The proposed HTSAC framework offers a gated recurrent unit (GRU) neural network alternative for an intuitive and accurate trajectory prediction in early post-fault stages. Subsequently, an emergency ride-through control (ERC) strategy is proposed which leverages the proposed neural network approach for enhancing the prediction results in real-time assessments of microgrid transient stability. The initial input horizon of GRU is optimized to avoid intense trial-and-error design burdens incurred in conventional data-driven assessment methods. Simulation and experimental results are presented to validate the effectiveness of the proposed HTSAC on an islanded microgrid in south China. The results also point out that the GRU of the prediction layer with a quantile loss function would ensure a timely ERC in the proposed HTSAC approach to renewable energy-based converter operations.
引用
收藏
页码:3362 / 3374
页数:13
相关论文
共 35 条
  • [11] Real-time transient stability assessment in power system based on improved SVM
    Hu, Wei
    Lu, Zongxiang
    Wu, Shuang
    Zhang, Weiling
    Dong, Yu
    Yu, Rui
    Liu, Baisi
    [J]. JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2019, 7 (01) : 26 - 37
  • [12] Grid-Synchronization Stability Analysis and Loop Shaping for PLL-Based Power Converters With Different Reactive Power Control
    Huang, Linbin
    Xin, Huanhai
    Li, Zhiyi
    Ju, Ping
    Yuan, Hui
    Lan, Zhou
    Wang, Zhen
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2020, 11 (01) : 501 - 516
  • [13] A Neural Lyapunov Approach to Transient Stability Assessment of Power Electronics-Interfaced Networked Microgrids
    Huang, Tong
    Gao, Sicun
    Xie, Le
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2022, 13 (01) : 106 - 118
  • [14] Comparative Implementation of High Performance Computing for Power System Dynamic Simulations
    Jin, Shuangshuang
    Huang, Zhenyu
    Diao, Ruisheng
    Wu, Di
    Chen, Yousu
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (03) : 1387 - 1395
  • [15] Nonlinear Lyapunov Stability Analysis of Seven Models of a DC/AC Droop Controlled Inverter Connected to an Infinite Bus
    Kabalan, Mahmoud
    Singh, Pritpal
    Niebur, Dagmar
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2019, 10 (01) : 772 - 781
  • [16] Anti-Jitter and Refined Power System Transient Stability Assessment Based on Long-Short Term Memory Network
    Li, Baoqin
    Wu, Junyong
    Hao, Liangliang
    Shao, Meiyang
    Zhang, Ruoyu
    Zhao, Wei
    [J]. IEEE ACCESS, 2020, 8 : 35231 - 35244
  • [17] A Hierarchical Data-Driven Method for Event-Based Load Shedding Against Fault-Induced Delayed Voltage Recovery in Power Systems
    Li, Qiaoqiao
    Xu, Yan
    Ren, Chao
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (01) : 699 - 709
  • [18] An Intelligent Transient Stability Assessment Framework With Continual Learning Ability
    Li, Xin
    Yang, Zeguo
    Guo, Panfeng
    Cheng, Jiangzhou
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (12) : 8131 - 8141
  • [19] A Novel Approach to Solve Power Flow for Islanded Microgrids Using Modified Newton Raphson With Droop Control of DG
    Mumtaz, Faisal
    Syed, M. H.
    Al Hosani, Mohamed
    Zeineldin, H. H.
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2016, 7 (02) : 493 - 503
  • [20] Adaptive Nonlinear Model Reduction for Fast Power System Simulation
    Osipov, Denis
    Sun, Kai
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (06) : 6746 - 6754