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

Qinghan Wang, Yanbo Wang*, Zhe Chen

*Kontaktforfatter

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

7 Citationer (Scopus)
43 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.

OriginalsprogEngelsk
TidsskriftEnergy Reports
Vol/bind8
Udgave nummer13
Sider (fra-til)1320-1327
Antal sider8
ISSN2352-4847
DOI
StatusUdgivet - nov. 2022
BegivenhedProgram Chair of the 5th International Conference on Electrical Engineering and Green Energy - Berlin, Tyskland
Varighed: 8 jun. 202211 jun. 2022
http://www.ceege.org/committee.html

Konference

KonferenceProgram Chair of the 5th International Conference on Electrical Engineering and Green Energy
Land/OmrådeTyskland
ByBerlin
Periode08/06/202211/06/2022
Internetadresse

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