Day-ahead Economic Optimization Scheduling Model for Electricity-hydrogen Collaboration Market

Qinghan Wang, Yanbo Wang*, Zhe Chen

*Corresponding author for this work

Research output: Contribution to journalConference article in JournalResearchpeer-review

6 Citations (Scopus)
33 Downloads (Pure)

Abstract

This paper presents a day-ahead economic optimization scheduling model for Regional Electricity–Hydrogen Integrated Energy System (REHIES) with high penetration of renewable energies. The electricity–hydrogen coupling devices are modelled with energy storage units and Insensitive Electrical Load (ISEL). The proposed objective function is able to capture the maximum benefits for REHIES in terms of economic benefits and can be summarized as a Quadratic Programming (QP) problem. The simulation verification is performed by MATLAB/CPLEX solver. The simulation results show that the proposed optimization model adapts the market requirement by contributing flexible collaboration between electricity and hydrogen. Also, the translational properties of ISEL can implement higher economic profits and more effective utilization of renewable energy.

Original languageEnglish
JournalEnergy Reports
Volume8
Issue number13
Pages (from-to)1320-1327
Number of pages8
ISSN2352-4847
DOIs
Publication statusPublished - Nov 2022
EventProgram Chair of the 5th International Conference on Electrical Engineering and Green Energy - Berlin, Germany
Duration: 8 Jun 202211 Jun 2022
http://www.ceege.org/committee.html

Conference

ConferenceProgram Chair of the 5th International Conference on Electrical Engineering and Green Energy
Country/TerritoryGermany
CityBerlin
Period08/06/202211/06/2022
Internet address

Keywords

  • Economic Optimization
  • electro-hydrogen collaboration
  • industrial energy market
  • insensitive electrical load (ISEL)
  • regional electro-hydrogen integrated energy system

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