Hydrogen storage and demand to increase wind power onto electricity distribution networks

被引:60
|
作者
Carr, Stephen [1 ]
Premier, Giuliano C. [1 ]
Guwy, Alan J. [1 ]
Dinsdale, Richard M. [1 ]
Maddy, Jon [1 ]
机构
[1] Univ South Wales, Fac Comp Sci & Engn, Sustainable Environm Res Ctr, Pontypridd CF37 1DL, M Glam, Wales
关键词
Optimal power flow; Wind power; Energy storage; Hydrogen economy; Modelling and simulation; ENERGY SYSTEM; FUEL-CELL; PENETRATION; GENERATION; VEHICLES; PLANTS;
D O I
10.1016/j.ijhydene.2014.04.145
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
An optimal power flow (OPF) methodology is developed to investigate the provision of a demand hydrogen as a means to maximise wind power generation in relation to a constrained electricity network. The use of excess wind energy to generate hydrogen for use as a transport fuel is investigated. Hydrogen demand is included in the objective function of the OPF, and a techno-economic analysis is presented. We conclude that using this method to generate hydrogen increases the utilisation of wind energy and allows for a hydrogen demand to be met at or near to the point of use. The OPF algorithm that has been developed optimises the amount of wind energy utilised, as well as minimising the amount of hydrogen demand not met. The cost at which the hydrogen is produced was found to be dependent on the operating methodology, component capital investment costs, level of hydrogen demand, and storage constraint. Copyright (C) 2014, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:10195 / 10207
页数:13
相关论文
共 50 条
  • [1] Energy storage for active network management on electricity distribution networks with wind power
    Carr, Stephen
    Premier, Giuliano C.
    Guwy, Alan J.
    Dinsdale, Richard M.
    Maddy, Jon
    IET RENEWABLE POWER GENERATION, 2014, 8 (03) : 249 - 259
  • [2] Optimal hydrogen storage sizing for wind power plants in day ahead electricity market
    Brunetto, C.
    Tina, G.
    IET RENEWABLE POWER GENERATION, 2007, 1 (04) : 220 - 226
  • [3] Indirect coordination of electricity demand for balancing wind power
    Gafurov, Tokhir
    Prodanovic, Milan
    IET RENEWABLE POWER GENERATION, 2014, 8 (08) : 858 - 866
  • [4] Wind power integration into electricity networks in Greece
    Kabouris, J
    Koronides, A
    Maissis, A
    MELECON 2000: INFORMATION TECHNOLOGY AND ELECTROTECHNOLOGY FOR THE MEDITERRANEAN COUNTRIES, VOLS 1-3, PROCEEDINGS, 2000, : 1157 - 1160
  • [5] Storage system for electricity obtained from wind power plants using underground hydrogen reservoir
    Lepszy, Sebastian
    Chmielniak, Tadeusz
    Mońka, Pawel
    Journal of Power Technologies, 2017, 97 (01): : 61 - 68
  • [6] Optimizing Storage Placement in Electricity Distribution Networks
    van den Akker, J. M.
    Leemhuis, S. L.
    Bloemhof, G. A.
    OPERATIONS RESEARCH PROCEEDINGS 2012, 2014, : 183 - 188
  • [7] FORMULATING A METEOROLOGICAL YEAR FOR MODELING SOLAR PV AND WIND TURBINE ELECTRICITY HARVEST AND HYDROGEN STORAGE TO MEET ELECTRICITY DEMAND IN A YEARLY CYCLE
    Alfulayyih, Yasir
    Li, Peiwen
    Gweshal, Ammar
    PROCEEDINGS OF ASME 2024 18TH INTERNATIONAL CONFERENCE ON ENERGY SUSTAINABILITY, ES2024, 2024,
  • [8] Impact of wind power on arbitrage revenue for electricity storage
    Dunbar, Anna
    Cradden, Lucy C.
    Wallace, Robin
    Harrison, Gareth P.
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2016, 10 (03) : 798 - 806
  • [9] Evaluating Hydrogen Storage Systems in Power Distribution Networks: A Comparative Study with Battery Storage
    Mirzaei, Mohammad Amin
    Majidi, Majid
    Parvania, Masood
    Current Sustainable/Renewable Energy Reports, 2024, 11 (04): : 136 - 144
  • [10] Designing electricity distribution networks: The impact of demand coincidence
    Gust, Gunther
    Schluter, Alexander
    Feuerriegel, Stefan
    Ubeda, Ignacio
    Lee, Jonathan T.
    Neumann, Dirk
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2024, 315 (01) : 271 - 288