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Risk-constrained planning of rural-area hydrogen-based microgrid considering multiscale and multi-energy storage systems

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  • Shao, Zhentong
  • Cao, Xiaoyu
  • Zhai, Qiaozhu
  • Guan, Xiaohong

Abstract

Recent advances in renewable hydrogen production and storage technologies have offered a promising path towards the carbon-neutral energy supply of rural communities. This paper presents a risk-constrained planning method for hydrogen-based multi-energy off-grid microgrids under economics and resilience considerations. A two-stage risk-constrained stochastic programming formulation is proposed, which is to optimize the energy resources configuration in the first stage, and conducts long-term economic dispatch as well as the on-emergency feasibility verification in the second stage. Sophisticated analytical models are developed to coordinate the operations of multi-timescale and multi-energy storage facilities (especially the short-term and seasonal hydrogen storage). Also, the risk constraints are imposed via sampling approximation strategy to control the risks of crucial components failures for resilience enhancement. Moreover, through the data-driven power flow linearization, our planning problem can be recasted as a mixed-integer linear program (MILP), and efficiently computed by developing a dual cutting-plane based enhanced decomposition algorithm. Numerical studies on a real-world rural energy system in Southwestern China validates the effectiveness of the proposed planning method. It has significantly reduced the levelized system costs through seasonal storage deployment and multi-energy synergy. Besides, our customized solution algorithm demonstrates a strong scalable capacity that support planning decisions under complex uncertainties.

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  • Shao, Zhentong & Cao, Xiaoyu & Zhai, Qiaozhu & Guan, Xiaohong, 2023. "Risk-constrained planning of rural-area hydrogen-based microgrid considering multiscale and multi-energy storage systems," Applied Energy, Elsevier, vol. 334(C).
    • Handle: RePEc:eee:appene:v:334:y:2023:i:c:s0306261923000466
    DOI: 10.1016/j.apenergy.2023.120682
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