A significant reduction in the costs of battery energy storage systems by use of smart parking lots in the power fluctuation smoothing process of the wind farms

被引:35
|
作者
Jannati, M. [1 ]
Hosseinian, S. H. [1 ]
Vahidi, B. [1 ]
Li, Guo-jie. [2 ]
机构
[1] Amirkabir Univ Technol, Dept Elect Engn, Tehran 1591634311, Iran
[2] Shanghai Jiao Tong Univ, Dept Elect Engn, Minist Educ, Key Lab Control Power Transmiss & Convers, Shanghai 200030, Peoples R China
关键词
Renewable energy; Smart parking lots; Wind power fluctuation mitigation;
D O I
10.1016/j.renene.2015.09.054
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Wind farm power fluctuations resulted from the wind random nature bring a significant challenge to the wind turbine generators operating in the maximum power point tracking. Furthermore, the smoothing process of a large wind farm in which the Battery Energy Storage System (BESS) is used, needs a considerable initial investment cost. Utilizing Smart Parking Lots (SPLs) can be considered as an applicable solution. In this paper, assuming conventional parking lots in Tehran converted to an SPL set in a near future and thus establishing an enormous charging/discharging capacity, the smoothing process is performed on a 51 MW wind farm. For this purpose, a coordinated control system based on two control algorithms is proposed. The first proposed algorithm chooses eligible SPLs for charging/discharging activity before receiving a new sample of the wind farm output power. Afterwards, the second proposed algorithm determines qualified vehicles in selected SPLs. The main aim is to minimize the number of SPLs (vehicles) taking part in the process. According to the simulation results, the required BESS capacity in the power smoothing process of a typical wind farm decreases considerably when the proposed approach is applied. Thus, the investment cost of BESS is reduced significantly. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 14
页数:14
相关论文
共 50 条
  • [21] A Power Smoothing Approach Based on Battery Energy Storage System for Power Fluctuations of Wind Power Generation
    Cong, Yuan
    Meng, Xiaofang
    Wang, Lidi
    Wang, Yingnan
    PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS AND COMPUTER AIDED EDUCATION (ICISCAE 2018), 2018, : 331 - 334
  • [22] Sizing battery energy storage for wind farms based on wind power forecast uncertainty in the bulk power system
    Hou, Tingting
    Cui, Yanzhao
    Li, Yujia
    Zhang, Wei
    Zhou, Xiaobing
    2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2016, : 1548 - 1552
  • [23] Smoothing control of wind power fluctuations with battery energy storage system of electric vehicles
    Wang, Mingshen
    Ge, Le
    Dong, Chaoyu
    Xiao, Qian
    An, Haiyun
    Mu, Yunfei
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2021, 31 (10):
  • [24] Control of wind power smoothing with battery energy storage system and thermostatically controlled loads
    Zhuo, Wenhao
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 6565 - 6570
  • [25] On the Use of Energy Storage Technologies for Regulation Services in Electric Power Systems with Significant Penetration of Wind Energy
    Yang, Bo
    Makarov, Yuri
    Desteese, John
    Viswanathan, Vilayanur
    Nyeng, Preben
    McManus, Bart
    Pease, John
    2008 5TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ELECTRICITY MARKET, VOLS 1 AND 2, 2008, : 469 - +
  • [26] Fuzzy Empirical Mode Decomposition for Smoothing Wind Power with Battery Energy Storage System
    Yang, Xiyun
    Yue, Hong
    Ren, Jie
    IFAC PAPERSONLINE, 2017, 50 (01): : 8769 - 8774
  • [27] A Control Method for Smoothing Wind Power Fluctuation with Multiple Energy Storage Unit Output Levels
    Chang F.
    Li Y.
    Peng Y.
    Zhou N.
    Gao Y.
    Zhang X.
    Gaodianya Jishu/High Voltage Engineering, 2024, 50 (01): : 182 - 194
  • [28] Hourly demand response and battery energy storage for imbalance reduction of smart distribution company embedded with electric vehicles and wind farms
    Ghasemi, Ahmad
    Mortazavi, Seyed Saeidollah
    Mashhour, Elaheh
    RENEWABLE ENERGY, 2016, 85 : 124 - 136
  • [29] 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
  • [30] Power fluctuation smoothing and loss reduction in grid integrated with thermal-wind-solar-storage units
    Hemmati, Reza
    Ghiasi, Seyyed Mohammad Sadegh
    Entezariharsini, Azam
    ENERGY, 2018, 152 : 759 - 769