New Type Power System and the Integrated Energy

Power Coordination Strategy for Hybrid Energy Storage in AC/DC Microgrids Based on Virtual Impedance-Fuzzy Algorithm

  • ZHAO Yongxi ,
  • GAO Pengchao ,
  • FAN Hong
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  • a. College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
    b. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China

Received date: 2023-07-10

  Revised date: 2023-09-26

  Accepted date: 2023-10-19

  Online published: 2023-10-25

Abstract

A hybrid energy storage system consisting of batteries and supercapacitors can be integrated into the microgrid, to mitigate the power fluctuations on both sides of the source and load sides, which is a common issue in AC/DC hybrid microgrids. This paper proposes a power coordination strategy for hybrid energy storage in AC/DC microgrids based on virtual impedance and fuzzy algorithm optimization. First, the initial power allocation for hybrid energy storage is autonomously determined using composite virtual impedance. Then, a comprehensive analysis is conducted to assess the influence of composite virtual impedance parameters and filtering time constant on power distribution. Based on this, a power distribution adjustment method is proposed, and fuzzy control rules are derived. The fuzzy algorithm is used to adaptively optimize the output power of hybrid energy storage based on the state of charge and the power demond on the supercapacitor. Finally, the power in the AC/DC interlinking converter is adaptively adjusted to enhance the regulation ability of hybrid energy storage. The simulation results in MATLAB/Simulink experiments demonstrate that the proposed strategy can effectively suppress power fluctuations on both the source and load sides, eliminate DC bus voltage deviation, and prevent the issues such as over-charging and over-discharging of supercapacitors, thereby extending the service life of the equipment.

Cite this article

ZHAO Yongxi , GAO Pengchao , FAN Hong . Power Coordination Strategy for Hybrid Energy Storage in AC/DC Microgrids Based on Virtual Impedance-Fuzzy Algorithm[J]. Journal of Shanghai Jiaotong University, 2025 , 59(3) : 388 -399 . DOI: 10.16183/j.cnki.jsjtu.2023.308

References

[1] 黄远明, 张玉欣, 夏赞阳, 等. 考虑需求响应资源和储能容量价值的新型电力系统电源规划方法[J]. 上海交通大学学报, 2023, 57(4): 432-441.
  HUANG Yuanming, ZHANG Yuxin, XIA Zanyang, et al. Power system planning considering demand response resources and capacity value of energy storage[J]. Journal of Shanghai Jiao Tong University, 2023, 57(4): 432-441.
[2] 张宇涵, 杜贵平, 雷雁雄, 等. 直流微网混合储能系统控制策略现状及展望[J]. 电力系统保护与控制, 2021, 49(3): 177-187.
  ZHANG Yuhan, DU Guiping, LEI Yanxiong, et al. Current status and prospects of control strategy for a DC micro grid hybrid energy storage system[J]. Power System Protection and Control, 2021, 49(3): 177-187.
[3] KRISHAN O, SUHAG S. A novel control strategy for a hybrid energy storage system in a grid-independent hybrid renewable energy system[J]. International Transactions on Electrical Energy Systems, 2020, 30(4): e12262.
[4] 汤旻安, 刘锡麟. 基于二阶变滤波时间常数的微网混合储能功率分配策略[J]. 可再生能源, 2022, 40(4): 550-557.
  TANG Min’an, LIU Xilin. Hybrid energy storage power allocation strategy for microgrid based on second-order variable filter time constant[J]. Renewable Energy Resources, 2022, 40(4): 550-557.
[5] 陈景文, 周婧, 张文倩. 基于小波包-模糊算法的混合储能功率分配策略[J]. 智慧电力, 2023, 51(1): 61-68.
  CHEN Jingwen, ZHOU Jing, ZHANG Wenqian. Hybrid energy storage power allocation strategy based on wavelet packet-fuzzy algorithm[J]. Smart Power, 2023, 51(1): 61-68.
[6] CHEN X, ZHOU J Y, SHI M X, et al. A novel virtual resistor and capacitor droop control for HESS in medium-voltage DC system[J]. IEEE Transactions on Power Systems, 2019, 34(4): 2518-2527.
[7] 陈燕东, 谭文娟, 周小平, 等. 混合储能系统功率自主分频控制方法[J]. 湖南大学学报(自然科学版), 2019, 46(4): 65-73.
  CHEN Yandong, TAN Wenjuan, ZHOU Xiaoping, et al. An autonomous-frequency-split power control method for hybrid energy storage system[J]. Journal of Hunan University (Natural Sciences), 2019, 46(4): 65-73.
[8] 刘瑞明, 王生铁, 刘广忱, 等. 基于虚拟阻抗的孤岛交流微电网混合储能控制策略研究[J]. 电测与仪表, 2019, 56(14): 116-123.
  LIU Ruiming, WANG Shengtie, LIU Guangchen, et al. Research on control strategy of hybrid energy storage in islanded AC micro-grid based on virtual impedance[J]. Electrical Measurement & Instrumentation, 2019, 56(14): 116-123.
[9] 张勤进, 孙小童, 刘彦呈, 等. 蓄电池/超级电容混合储能系统协调控制策略[J]. 电源技术, 2020, 44(9): 1345-1347.
  ZHANG Qinjin, SUN Xiaotong, LIU Yancheng, et al. A coordinated control strategy for battery/supercapacitor hybrid energy storage system[J]. Chinese Journal of Power Sources, 2020, 44(9): 1345-1347.
[10] ZOLFAGHARI M, GHAREHPETIAN G B, SHAFIE-KHAH M, et al. Comprehensive review on the strategies for controlling the interconnection of AC and DC microgrids[J]. International Journal of Electrical Power & Energy Systems, 2022, 136: 107742.
[11] 杨捷, 金新民, 杨晓亮, 等. 交直流混合微网功率控制技术研究综述[J]. 电网技术, 2017, 41(1): 29-39.
  YANG Jie, JIN Xinmin, YANG Xiaoliang, et al. Overview on power control technologies in hybrid AC-DC microgrid[J]. Power System Technology, 2017, 41(1): 29-39.
[12] 涂春鸣, 邹凯星, 高家元, 等. 基于不对称正负反馈效应的PQ功率控制并网逆变器稳定性分析[J]. 电工技术学报, 2023, 38(2): 496-509.
  TU Chunming, ZOU Kaixing, GAO Jiayuan, et al. Stability analysis of PQ power control grid-connected inverter based on asymmetric positive and negative feedback effect[J]. Transactions of China Electrotechnical Society, 2023, 38(2): 496-509.
[13] 田浩, 黄文焘, 余墨多, 等. 交直流混合独立微网互联变换器自适应双向下垂控制策略[J]. 中国电机工程学报, 2022, 42(19): 7063-7074.
  TIAN Hao, HUANG Wentao, YU Moduo, et al. Adaptive bidirectional droop control strategy for the interlinking converter in the islanding hybrid AC/DC microgrids[J]. Proceedings of the CSEE, 2022, 42(19): 7063-7074.
[14] 崔俊昊, 田桂珍, 刘广忱, 等. 独立运行直流微电网混合储能系统功率分配控制策略研究[J]. 电网与清洁能源, 2023, 39(4): 129-136.
  CUI Junhao, TIAN Guizhen, LIU Guangchen, et al. A study on the power distribution control strategy of hybrid energy storage system in the isolated DC microgrid[J]. Power System and Clean Energy, 2023, 39(4): 129-136.
[15] 王瑞昌, 陈志华, 明新国. 基于改进模糊逻辑控制的并联式船舶动力系统能量管理[J]. 上海交通大学学报, 2021, 55(10): 1188-1196.
  WANG Ruichang, CHEN Zhihua, MING Xinguo. Energy management of parallel ship power system based on improved fuzzy logic control[J]. Journal of Shanghai Jiao Tong University, 2021, 55(10): 1188-1196.
[16] BHOSALE R, AGARWAL V. Fuzzy logic control of the ultracapacitor interface for enhanced transient response and voltage stability of a DC microgrid[J]. IEEE Transactions on Industry Applications, 2019, 55(1): 712-720.
[17] GAO X P, FU L J. SOC optimization based energy management strategy for hybrid energy storage system in vessel integrated power system[J]. IEEE Access, 2020, 8: 54611-54619.
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