An Energy Management Strategy for a Wind Power Plant Based on Energy Storage and Wind Power Prediction

被引:4
|
作者
Yagcitekin, B. [1 ]
Guler, O. [2 ]
Cali, Ue. [3 ]
机构
[1] Yildiz Tech Univ, Dept Elect Engn, TR-34349 Istanbul, Turkey
[2] Istanbul Tech Univ, Energy Inst, TR-80626 Istanbul, Turkey
[3] EnBW Erneuerbare Energien GmbH, Stuttgart, Germany
关键词
energy management; energy storage; wind power; wind power prediction; reliability;
D O I
10.1080/15567249.2011.601702
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
Wind energy is the most common and fastest-growing application of renewable energy in power systems. Wind power generation is an intermittent and unpredictable energy, therefore power system operators have to face some difficulties such as stability, reliability, power quality, etc. Wind forecast and energy storage techniques are used for system reliability, stability, and increasing the penetration level of wind energy. The aim of this study to find a new usable solution to reduce the energy balance funding and increase the system reliability. According to the results of the proposed system, system reliability has obtained 83% and the wind penetration level has increased by 9%. Additionally, balance cost is reduced for the mentioned system.
引用
收藏
页码:152 / 161
页数:10
相关论文
共 50 条
  • [1] Wind power plant with energy storage
    Klos, Mariusz
    Paska, Jozef
    [J]. PRZEGLAD ELEKTROTECHNICZNY, 2008, 84 (02): : 58 - 62
  • [2] Energy Storage System for Wind Power Plant
    Bhattacharjee, Subhadeep
    Acharya, Shantanu
    [J]. 2012 2ND INTERNATIONAL CONFERENCE ON POWER, CONTROL AND EMBEDDED SYSTEMS (ICPCES 2012), 2012,
  • [3] A Wind Power Plant with Thermal Energy Storage for Improving the Utilization of Wind Energy
    Liu, Chang
    Cheng, Mao-Song
    Zhao, Bing-Chen
    Dai, Zhi-Min
    [J]. ENERGIES, 2017, 10 (12)
  • [4] Deep reinforcement learning based energy storage management strategy considering prediction intervals of wind power
    Liu, Fang
    Liu, Qianyi
    Tao, Qing
    Huang, Yucong
    Li, Danyun
    Sidorov, Denis
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2023, 145
  • [5] Forecasting based energy management of flywheel energy storage system connected to a wind power plant
    Aasim
    Singh, S. N.
    Mohapatra, Abheejeet
    [J]. JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2020, 12 (06)
  • [6] Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind Power
    Tan, Zhongfu
    Tan, Qingkun
    Wang, Yuwei
    [J]. JOURNAL OF ENGINEERING, 2018, 2018
  • [7] Wind power plant energy prediction simulator
    Hradílek, Zdeněk
    Šumbera, Tomáš
    [J]. Acta Technica CSAV (Ceskoslovensk Akademie Ved), 2012, 57 (03): : 307 - 326
  • [8] A Fuzzy Control Strategy Combined With Wind Power Prediction and Energy Storage SOE for Smoothing Wind Power Output
    Liu Y.
    Wang W.
    Wang X.
    Peng C.
    [J]. Dianwang Jishu/Power System Technology, 2019, 43 (07): : 2535 - 2543
  • [9] Energy Management Coordination Control Strategy for Wind Power Hybrid Energy Storage System Based on EEMD
    Fu J.
    Chen J.
    Teng Y.
    Deng H.
    Sun Z.
    [J]. Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2019, 34 (10): : 2038 - 2046
  • [10] Energy storage capacity optimization of wind-energy storage hybrid power plant based on dynamic control strategy
    Yi, Tao
    Ye, Handong
    Li, Qingxiu
    Zhang, Changmei
    Ren, Weijia
    Tao, Zhiming
    [J]. JOURNAL OF ENERGY STORAGE, 2022, 55