Field Test of Wind Power Output Fluctuation Control Using an Energy Storage System on Jeju Island

被引:1
作者
Chae, Sang Heon [1 ]
Kang, Chul Uoong [2 ]
Kim, Eel-Hwan [3 ]
机构
[1] Jeju Natl Univ, Elect Energy Res Ctr, Jejudaehakno 102, Jeju Si 63243, South Korea
[2] Jeju Natl Univ, Dept Mechatron Engn, Jejudaehakno 102, Jeju Si 63243, South Korea
[3] Jeju Natl Univ, Dept Elect Engn, Jejudaehakno 102, Jeju Si 63243, South Korea
关键词
energy storage system; fluctuation control; renewable energy; small power system; wind power generation;
D O I
10.3390/en13215760
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
At present, renewable energy installations are expanding to solve both environmental problems and expensive energy fuel import prices in isolated areas. However, in a small-scale power system, rapid output fluctuations of renewable energy may cause power quality problems such as voltage and frequency fluctuations in the power system. To solve this problem, the local government of Jeju Island in South Korea implemented a megawatt (MW)-class pilot project to stabilize the output power of wind turbines using an energy storage system (ESS). In this project, a 0.5 MWh lithium-ion battery was connected to a 3 MW wind turbine via 1 MW power conversion system (PCS). In this paper, the field test results were divided into four categories as follows. First, the performance of stabilizing the output of the wind turbine using ESS was confirmed. Second, the control performance of the ESS was confirmed when the wind turbine suddenly stopped due to an accident. Third, it was confirmed that the ESS discharged energy into the power system after the stabilization of the wind turbine output. Fourth, the reasons for the failure of the ESS to control output stabilization of the wind turbine were analyzed through MATLAB simulation.
引用
收藏
页数:16
相关论文
共 24 条
  • [1] Chang Mark., 2019, Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials
  • [2] Chang Y., 2015, P 2015 AS PAC EN EQ
  • [3] Power smoothing in large wind farms using optimal control of rotating kinetic energy reserves
    De Rijcke, Simon
    Driesen, Johan
    Meyers, Johan
    [J]. WIND ENERGY, 2015, 18 (10) : 1777 - 1791
  • [4] Esmaili A., 2011, P 2011 IEEE EN CONV
  • [5] Gholami M., 2017, KURD J APPL RES, V2, P356, DOI [10.24017/science.2017.3.59, DOI 10.24017/SCIENCE.2017.3.59]
  • [6] Wind direction fluctuation analysis for wind turbines
    Guo, Peng
    Chen, Si
    Chu, Jingchun
    Infield, David
    [J]. RENEWABLE ENERGY, 2020, 162 : 1026 - 1035
  • [7] Generic dynamic wind turbine models for power system stability analysis: A comprehensive review
    Honrubia-Escribano, A.
    Gomez-Lazaro, E.
    Fortmann, J.
    Sorensen, P.
    Martin-Martinez, S.
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 81 : 1939 - 1952
  • [8] Jeju Special Self-Governing Province Local Government Carbon, 2012, FREE ISL JEJ 2030
  • [9] Kim J.H., 2009, P 2009 IEEE 6 INT PO
  • [10] Koshimizu G., 2005, P ESA 2005 ANN M C E