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Probabilistic reliability assessment of hydrogen storage in a solar-wind powered grid-independent microgrid
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DOI：10.1080/15567249.2025.2595132.png)
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Abstract
En 中文
The integration of energy storage has emerged as a highly promising solution to ensure the reliability of distributed renewable energy (DRE) sources in grid-independent microgrids (GI-MGs). The intermittent nature of DRE sources and their increased penetration in recent times accentuate the significance of reliability assessment studies. Among the various storage systems, hydrogen storage systems (HSS) offer a viable approach to address intermittency and meet the rising demand for sustainable energy. Existing reliability studies on HSS predominantly employ Monte Carlo Simulation (MCS), which, although robust, is computationally intensive, and its accuracy is strongly dependent on the number of iterations selected. To overcome these boundaries, this paper proposes an analytical probabilistic model, termed the Hydrogen State Model (HSM), which incorporates multiple states of hydrogen (SOH) levels and their associated probabilities. Unlike MCS, the accuracy of HSM results is independent of iteration size, ensuring both precision and efficiency. Reliability evaluation was performed for three hypothetical GI-MG cases, viz. SPV with HSS, Wind with HSS, and SPV - Wind with HSS, based in Jaisalmer, Rajasthan, India, under two reliability thresholds (0.5% and 1%). The results, when compared with MCS, confirm that the proposed HSM achieves nearly identical reliability indices (within 0.04% deviation) while reducing computational time by more than 90%. These findings establish HSM as a precise and computationally efficient alternative for reliability assessment of HSS in renewable-based microgrids.
Keywords:
Analytical HSM
DRE sources
hydrogen storage system
MCS
micro-grid
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