Journal
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Volume 46, Issue 37, Pages 19270-19284Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijhydene.2021.03.080
Keywords
Green hydrogen; Optimal power flow; Wind power; Electrolyzer; Power to hydrogen; Contingencies
Categories
Funding
- Science Foundation Ireland (SFI) under the SFI Strategic Partnership Programme Grant [SFI/15/SPP/E3125]
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Green hydrogen generated from renewable energy sources will significantly contribute to a successful energy transition and efficiently link various energy sectors. Investigating the impact of green hydrogen on generation scheduling and power system security, a security-constrained multi-period optimal power flow model is developed, considering the flexibility of power to hydrogen demand and demonstrating its role in cost reduction and reduction of renewable energy curtailment.
Green hydrogen, i.e. the hydrogen generated from renewable energy sources (RES) will significantly contribute to a successful energy transition. Besides, to facilitate the inte-gration and storage of RES, this promising energy carrier is well capable to efficiently link various energy sectors. By introduction of green hydrogen as a new flexibility source to power systems, it is necessary to investigate its possible impacts on the generation scheduling and power system security. In this paper, a security-constrained multi-period optimal power flow (SC-MPOPF) model is developed aiming to determine the optimal hourly dispatch of generators as well as power to hydrogen (P2H) units in the presence of large-scale renewable energy sources (RES). The proposed model characterizes the P2H demand flexibility in the proposed SC-MPOPF model, taking into account the electrolyzer behavior, reactive power support of P2H demands and hydrogen storage capability. The developed SC-MPOPF model is applied to IEEE 39-bus system and the obtained numerical results demonstrate the role of P2H flexibility on cost as well as RESs power curtailment reduction. (c) 2021 The Author(s). Published by Elsevier Ltd on behalf of Hydrogen Energy Publications LLC. This is an open access article under the CC BY license (http://creativecommons.org/ licenses/by/4.0/).
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