Sizing Hydrogen Energy Storage in Consideration of Demand Response in Highly Renewable Generation Power Systems

被引:25
|
作者
Ali, Mubbashir [1 ]
Ekstrom, Jussi [1 ]
Lehtonen, Matti [1 ]
机构
[1] Aalto Univ, Dept Elect Engn & Automat, Espoo 02150, Finland
关键词
energy storage; wind and solar energy; demand response; optimization; LARGE-SCALE WIND; LOCATIONS;
D O I
10.3390/en11051113
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
From an environment perspective, the increased penetration of wind and solar generation in power systems is remarkable. However, as the intermittent renewable generation briskly grows, electrical grids are experiencing significant discrepancies between supply and demand as a result of limited system flexibility. This paper investigates the optimal sizing and control of the hydrogen energy storage system for increased utilization of renewable generation. Using a Finnish case study, a mathematical model is presented to investigate the optimal storage capacity in a renewable power system. In addition, the impact of demand response for domestic storage space heating in terms of the optimal sizing of energy storage is discussed. Finally, sensitivity analyses are conducted to observe the impact of a small share of controllable baseload production as well as the oversizing of renewable generation in terms of required hydrogen storage size.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] Study on Power and Energy Demand for Sizing the Energy Storage Systems for Electrified Local Public Transport Buses
    Sinhuber, Philipp
    Rohlfs, Werner
    Sauer, Dirk Uwe
    2012 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2012, : 315 - 320
  • [32] Virtual Power Plant with Renewable Energy Sources and Energy Storage Systems for Sustainable Power Grid-Formation, Control Techniques and Demand Response
    Liu, Jiaqi
    Hu, Hongji
    Yu, Samson S.
    Trinh, Hieu
    ENERGIES, 2023, 16 (09)
  • [33] Stochastic energy management for a renewable energy based microgrid considering battery, hydrogen storage, and demand response
    Eghbali, Nazanin
    Hakimi, Seyed Mehdi
    Hasankhani, Arezoo
    Derakhshan, Ghasem
    Abdi, Babak
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2022, 30
  • [34] Highly reduced aqueous polyoxometalate solutions for on-demand hydrogen generation and energy storage
    Symes, Mark
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2019, 257
  • [35] A Multiscale Energy Systems Engineering Approach for Renewable Power Generation and Storage Optimization
    Demirhan, C. Doga
    Tso, William W.
    Powell, Joseph B.
    Heuberger, Clara F.
    Pistikopoulos, Efstratios N.
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2020, 59 (16) : 7706 - 7721
  • [36] Thermochemical Energy Storage for Power Generation on Demand
    Zhang, Huili
    Huys, Katja
    Baeyens, Jan
    Degreve, Jan
    Kong, Weibin
    Lv, Yongqin
    ENERGY TECHNOLOGY, 2016, 4 (02) : 341 - 352
  • [37] Prediction and assessment of demand response potential with coupon incentives in highly renewable power systems
    Hao Ming
    Bainan Xia
    Ki-Yeob Lee
    Adekunle Adepoju
    Srinivas Shakkottai
    Le Xie
    Protection and Control of Modern Power Systems, 2020, 5
  • [38] Prediction and assessment of demand response potential with coupon incentives in highly renewable power systems
    Ming, Hao
    Xia, Bainan
    Lee, Ki-Yeob
    Adepoju, Adekunle
    Shakkottai, Srinivas
    Xie, Le
    PROTECTION AND CONTROL OF MODERN POWER SYSTEMS, 2020, 5 (01)
  • [39] Flexible, reliable, and renewable power system resource expansion planning considering energy storage systems and demand response programs
    Hamidpour, Hamidreza
    Aghaei, Jamshid
    Pirouzi, Sasan
    Dehghan, Shahab
    Niknam, Taher
    IET RENEWABLE POWER GENERATION, 2019, 13 (11) : 1862 - 1872
  • [40] POWER STORAGE MODELING FOR RENEWABLE ENERGY SYSTEMS
    Betts, John M.
    Kumarage, Heshan
    2018 WINTER SIMULATION CONFERENCE (WSC), 2018, : 2399 - 2410