Economic Optimal Scheduling of Electricity-Hydrogen Coupled Virtual Power Plant Considering Stochastic Flexibility Evaluation

Faced with the problem of managing a large number of decentralized distributed energy resources (DERs), the electricity-hydrogen coupled virtual power plant (VPP) is introduced to aggregate DERs and meet the peak load demand. In this paper, the stochastic flexibility of DERs has been evaluated with...

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Bibliographic Details
Published in2023 5th International Conference on Power and Energy Technology (ICPET) pp. 1301 - 1306
Main Authors Sun, Qinfei, Li, Xianglong, Wang, Liyong, Wang, Hongbiao, Cao, Xin, Chen, Siqi, Zhang, Kuan
Format Conference Proceeding
LanguageEnglish
Published IEEE 27.07.2023
Subjects
Aggregates
Economics
Hydrogen
hydrogen energy market
Optimal scheduling
peak regulation market
Renewable energy sources
stochastic power flexibility
Stochastic processes
Uncertainty
Virtual power plant
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Summary:Faced with the problem of managing a large number of decentralized distributed energy resources (DERs), the electricity-hydrogen coupled virtual power plant (VPP) is introduced to aggregate DERs and meet the peak load demand. In this paper, the stochastic flexibility of DERs has been evaluated with a combined model and data-driven solution, fully considering the uncertainty of power generation and energy demand of DERs. Furthermore, an opportunity-constrained economic optimal scheduling model considering the benefits and risks is developed for the electricity-hydrogen coupled VPP to participate in the hydrogen energy market and peak regulation market simultaneously. Finally, the operating power of DERs under different confidence is analyzed. Comparative studies have validated the effectiveness and superiority of the proposed methodology on economic performance and renewable accommodation of the electricity-hydrogen coupled VPP.
DOI:10.1109/ICPET59380.2023.10367473