Wind Farm-based Green Hydrogen: A Virtual Power Plant Case Study

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Abstract

Decarbonization of the energy sector requires further wind farms for electricity generation. Green hydrogen can assist in many aspects, such as overcoming the uncertainty of wind generation. In this study, the concept of a virtual power plant (VPP), including a wind farm, electrical energy storage, power-to-hydrogen, hydrogen-to-power, and gas network, is investigated to exploit the full potential of wind farms. The gas network will play the role of virtual green hydrogen storage for the wind farm operator (WFO). The WFO interacts with two main electricity markets, namely the day-ahead electricity market, to sell the major share of production, and the balancing electricity market, to handle the deviations. The simulation results show the effectiveness of the proposed model in decreasing the deviations of WFOs to deliver the required electrical power committed to the electricity market, thus increasing their profit. Moreover, sensitivity analyses performed on the conversion ratio of the power-to-hydrogen show that the profit of WFO will increase with improvement in this parameter.

Original languageEnglish
Title of host publication18th International Conference on the European Energy Market, EEM 2022
PublisherIEEE Computer Society
Number of pages7
ISBN (Electronic)9781665408967
DOIs
Publication statusPublished - 2022
MoE publication typeA4 Article in a conference publication
EventInternational Conference on the European Energy Market - Ljubljana, Slovenia
Duration: 13 Sep 202215 Sep 2022
Conference number: 18

Publication series

NameInternational Conference on the European Energy Market, EEM
Volume2022-September
ISSN (Print)2165-4077
ISSN (Electronic)2165-4093

Conference

ConferenceInternational Conference on the European Energy Market
Abbreviated titleeem
Country/TerritorySlovenia
CityLjubljana
Period13/09/202215/09/2022

Keywords

  • Electricity markets
  • gas network
  • green hydrogen
  • linepack
  • virtual power plant
  • wind farm

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