A Real-World Case Study for Smoothing Wind Power Output Using Flywheel Energy Storage

被引:0
|
作者
El-Hamalawy, Abdallah F. [1 ]
Farag, Hany E. Z. [1 ]
Medal, Richard [2 ]
MacNeil, Cody
Ahmed, Elyas [3 ]
Sohm, Daniel [3 ]
El-Samahy, Ismael [3 ]
机构
[1] York Univ, EECS Dept, Toronto, ON, Canada
[2] NRSTOR Inc, Toronto, ON, Canada
[3] IESO, Toronto, ON, Canada
来源
2024 IEEE CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING, CCECE 2024 | 2024年
关键词
Renewable energy; Energy storage; Flywheel storage systems; and Wind power smoothing;
D O I
10.1109/CCECE59415.2024.10667098
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Flywheel systems are fast-acting energy storage solutions that could be effectively utilized to facilitate seamless adoptions for high penetration levels of variable power generation resources. This paper describes a real-world case study for the deployment of a 2 MW flywheel energy storage system to smooth the output power of a remotely located wind farm connected to the electricity grid of Ontario in Canada. Both the flywheel energy storage facility and the wind power plant are monitored and operated by the Independent Electricity System Operator (IESO) in Ontario. Also, the paper introduces a novel and practical Energy Management Controller (EMC) that has been implemented in the field to achieve the desired renewable smoothing. The performance of the implemented EMC has been investigated via changing three main input parameters: i) storage to wind ratio, ii) smoothing time, and iii) storage duration. To that end, seven case studies are conducted with different EMC input parameters to analyze the impacts of these parameters on the smoothing performance of the flywheel energy storage system.
引用
收藏
页码:507 / 511
页数:5
相关论文
共 50 条
  • [1] Control of a Flywheel Energy Storage System for Power Smoothing in Wind Power Plants
    Diaz-Gonzalez, Francisco
    Bianchi, Fernando D.
    Sumper, Andreas
    Gomis-Bellmunt, Oriol
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2014, 29 (01) : 204 - 214
  • [2] Value Propositions of Energy Storage Options for Wind Power Output Smoothing
    Salgado-Contreras, Jorge
    Sharma, Rahul
    Ranatunga, Shantha
    Moroz, Stephanie
    Thomas, Sebastian
    2015 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2015,
  • [3] A Smoothing Method for Wind Power Fluctuation Using Hybrid Energy Storage
    Kim, Taekwon
    Moon, Hyeon-jin
    Kwon, Do-hoon
    Moon, Seung-ill
    2015 IEEE POWER AND ENERGY CONFERENCE AT ILLINOIS (PECI), 2015,
  • [4] A review on wind power smoothing using high-power energy storage systems
    Barra, P. H. A.
    de Carvalho, W. C.
    Menezes, T. S.
    Fernandes, R. A. S.
    Coury, D. V.
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 137
  • [5] Smoothing the Power Output of Photovoltaic Plant using a Battery Energy Storage System Control
    Kolcun, Michal
    Vojtek, Martin
    Mikita, Miroslav
    Conka, Zsolt
    PROCEEDINGS OF THE 8TH INTERNATIONAL SCIENTIFIC SYMPOSIUM ON ELECTRICAL POWER ENGINEERING (ELEKTROENERGETIKA 2015), 2015, : 605 - 608
  • [6] STATCOM with Energy Storage for Smoothing Intermittent Wind Farm Power
    Baran, Mesut E.
    Telekel, Sercan
    Huang, Alex
    Bhattacharya, Subhashish
    Anderson, Loren
    Atcitty, Stanley
    2008 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-11, 2008, : 4037 - +
  • [7] Active power smoothing control of direct-driven permanent magnet synchronous wind power generation system with flywheel energy storage unit
    Xiong, Qian
    Liao, Yong
    Yao, Jun
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2013, 33 (05): : 97 - 105
  • [8] Wind Turbines with Energy Storage for Power Smoothing and FRT Enhancement
    Xu, Guoyi
    Xu, Lie
    Morrow, D. J.
    2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2011,
  • [9] A review of output power smoothing methods for wind energy conversion systems
    Howlader, Abdul Motin
    Urasaki, Naomitsu
    Yona, Atsushi
    Senjyu, Tomonobu
    Saber, Ahmed Yousuf
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 26 : 135 - 146
  • [10] Federated Learning for Anomaly Detection: A Case of Real-World Energy Storage Deployment
    Wang, Xu
    Chen, Yuanzhu
    Dobre, Octavia A.
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), 2022, : 4312 - 4317