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

Zhentong Shao, Xiaoyu Cao, Qiaozhu Zhai, Xiaohong Guan

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

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.

Original languageEnglish
Article number120682
JournalApplied Energy
Volume334
DOIs
StatePublished - 15 Mar 2023

Keywords

  • Data-driven linear power flow
  • Hydrogen-based multi-energy microgrid
  • Risk-constrained stochastic program
  • Rural-area off-grid community
  • Seasonal hydrogen storage

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