Frequency of islanded microgrid based on μ-H∞ robust control

被引:0
|
作者
Wu L.-Z. [1 ,2 ]
Ding A.-B. [1 ]
Chen W. [1 ,3 ]
Hao X.-H. [1 ,3 ]
机构
[1] College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou
[2] Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Lanzhou
[3] National Experimental Teaching Center of Electrical and Control Engineering, Lanzhou University of Technology, Lanzhou
关键词
Frequency control; Microgrid; Time-delay system; Uncertainty; Μ-H[!sub]∞[!/sub] robust control;
D O I
10.15938/j.emc.2021.11.012
中图分类号
学科分类号
摘要
Aiming at the frequency fluctuation in the isolated AC microgrid caused by the output power uncertainty of wind and photovoltaic power generation and the random fluctuation of load, the microgrid frequency μ-H∞ robust control strategy was proposed. The adopted μ-H∞ is based on the traditional H∞ robust control method to solve external disturbances, the influence of system structure uncertainty on the frequency stability of isolated microgrid system is considered. The state space model of frequency control with time delay and uncertainty was established. Based on the robust control theory, the H∞ controller design method and μ combined with D-K iterative method μ-H∞ frequency robust controller can stabilize the frequency fluctuation caused by parameter perturbation and structural uncertainty, and reduce the impact of communication delay on microgrid system. Finally, through MATLAB/Simulink simulation software and dSPACE hardware in the loop simulation platform, it is verified that the proposed control method has good dynamic performance and strong robustness under the conditions of system parameter perturbation, communication delay and structure uncertainty. © 2021, Harbin University of Science and Technology Publication. All right reserved.
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页码:105 / 113
页数:8
相关论文
共 25 条
  • [1] ZHOU Zhichao, WANG Chengshan, JIAO Bingqi, Et al., Optimal control of wind/biomass/diesel/battery stand-alone microgrid system, Proceedings of the CSEE, 35, 14, (2015)
  • [2] DE AZEVEDO R, CINTUGLU M H, MA T, Et al., Multiagent-based optimal microgrid control using fully distributed diffusion strategy[J], IEEE Transactions on Smart Grid, 8, 4, (2017)
  • [3] GUERRERO J M, VASQUEZ J C, MATAS J, Et al., Hierarchical control of droop-controlled AC and DC microgrids-a general approach toward standardization[J], IEEE Transactions on Industrial Electronics, 58, 1, (2011)
  • [4] YANG Xinfa, SU Jian, LU Zhipeng, Et al., Overview on micro-grid technology, Proceedings of the CSEE, 34, 1, (2014)
  • [5] LI Peng, LIAN Panjie, CHEN Weian, Et al., Decentralized coordinated control method of multiple bidirectional converters in AC/DC hybrid microgrid, Automation of Electric Power Systems, 42, 22, (2018)
  • [6] ZHANG Zhanqiang, DOU Chunxia, YUE Dong, Et al., Event-triggered voltage distributed cooperative control with communication delay, Proceedings of the CSEE, 40, 17, (2020)
  • [7] GU W, LIU W, WU Z, Et al., Cooperative control to enhance the frequency stability of islanded microgrids with DFIG-SMES, Energies, 6, 8, (2013)
  • [8] WU Zhongqiang, ZHAO Xibo, WANG Xinyi, Et al., Frequency H<sub>2</sub>/H<sub>∞</sub> optimal control for isolated wind-diesel hybrid micrigrid, Electric Machines and Control, 21, 9, (2017)
  • [9] ETEMADI A H, DAVISON E J, IRAVANI R., A decentralized robust control strategy for multi-DER microgrids-Part I: fundamental concepts[J], IEEE Transactions on Power Delivery, 27, 4, (2012)
  • [10] YI H, YOUNG P M, JAIN A, Et al., Robust control for microgrid frequency deviation reduction with attached storage system[J], IEEE Transactions on Smart Grid, 6, 2, (2015)