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Unlock the aggregated flexibility of electricity-hydrogen integrated virtual power plant for peak-regulation

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  • Chen, Siqi
  • Zhang, Kuan
  • Liu, Nian
  • Xie, Yawen

Abstract

This paper proposes an aggregated flexibility estimation method considering the distributed electricity-hydrogen (H2) interactions for virtual power plants (VPPs) to enhance the economic benefits from the peak-regulation market (PRM) while facilitating the accommodation of renewable generation. Firstly, various distributed energy resources (DERs) such as electric vehicles (EVs), air conditioning systems (ACs), and electricity-H2 coupled hydrogen refueling stations (HRSs) are modeled as virtual storage (VS) with characterized charging/discharging response parameters. Besides, the temporal coupling power profile of VS can be abstracted as a polytope from the geometric perspective, and the aggregated high-dimensional flexibility region of VPP is formulated by the Minkowski sum for these polytopes. Furthermore, a day-ahead peak-regulation optimal scheduling model considering the conditional value at risk (CVaR) is developed for the electricity-H2 integrated VPP participating the PRM, and the dimensionality of the aggregated polytope is reduced by the inscribed hyperbox approximation to provide a compact and concise scheduling region. Comparative studies have validated the aggregated power range and net income can be improved by 13.05% and 15.11% with the mechanism of electricity and hydrogen integrations.

Suggested Citation

  • Chen, Siqi & Zhang, Kuan & Liu, Nian & Xie, Yawen, 2024. "Unlock the aggregated flexibility of electricity-hydrogen integrated virtual power plant for peak-regulation," Applied Energy, Elsevier, vol. 360(C).
    • Handle: RePEc:eee:appene:v:360:y:2024:i:c:s0306261924001302
    DOI: 10.1016/j.apenergy.2024.122747
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    References listed on IDEAS

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    1. Liu, Xin & Li, Yang & Wang, Li & Tang, Junbo & Qiu, Haifeng & Berizzi, Alberto & Valentin, Ilea & Gao, Ciwei, 2024. "Dynamic aggregation strategy for a virtual power plant to improve flexible regulation ability," Energy, Elsevier, vol. 297(C).

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