Optimized Operation Method for Microgrid Electricity-Hydrogen Hybrid Energy Storage Considering Electrolyzer Arrays and Energy Management Strategy
電解槽アレイとエネルギー管理戦略を考慮したマイクログリッド電気-水素ハイブリッドエネルギー貯蔵の最適運用法 (AI 翻訳)
He Wang, Yuyan Wang, Jing Bian, Huanan Yu
🤖 gxceed AI 要約
日本語
本論文は、電解槽アレイとエネルギー管理戦略を考慮したマイクログリッド電気-水素ハイブリッド貯蔵システムの最適運用法を提案する。時系列分解で季節特性を把握し、電解槽回転戦略やカスケード水素タンクモデルを導入。二層最適化モデルによりシステムコスト最小化と水素貯蔵コスト低減を実現し、再エネ出力抑制率10.93%減、水素生産量5.7%増を達成する。
English
This paper proposes an optimized operation method for microgrid electricity-hydrogen hybrid energy storage considering electrolyzer arrays and energy management strategy. It uses time series decomposition for seasonal characteristics, introduces a rotation strategy for electrolyzer arrays and a cascaded hydrogen storage tank model. A two-layer optimization model minimizes total system cost and levelized cost of hydrogen storage. Results show curtailment rate reduction by 10.93% and green hydrogen production increase by 5.7%.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
本論文の手法は、日本の再エネ大量導入時の出力抑制対策や水素サプライチェーン構築に参考となる。特に、電解槽の運用最適化は、福島などでの水素実証事業にも応用可能。
In the global GX context
This paper's optimization approach for electricity-hydrogen hybrid storage is relevant globally for integrating high shares of renewables. It offers a practical method for reducing curtailment and boosting green hydrogen production, applicable to regions like the EU's hydrogen strategy and Japan's hydrogen society goals.
👥 読者別の含意
🔬研究者:GX researchers can leverage the two-layer optimization model for hybrid storage systems in renewable integration studies.
🏢実務担当者:Corporate energy managers can apply the electrolyzer array rotation strategy and EMS to reduce curtailment and improve hydrogen production efficiency.
🏛政策担当者:Policymakers can use the findings to design incentives for hybrid storage systems that enhance renewable energy consumption.
📄 Abstract（原文）
: Addressing the challenges of peak shaving and curtailment caused by integrating a large amount of renewable energy into the grid, this paper proposes an optimized operation method for microgrid electricity-hydrogen hybrid energy storage (EH-HES), which considers electrolyzer arrays and an energy management strategy (EMS). Firstly, the time span of the energy-rich season and the energy-poor season is determined through time series decomposition, and a hydrogen energy storage (HES) operation mode based on seasonal typical scenarios is proposed. Secondly, the key equipment for EH-HES is modeled, including the hybrid electrolyzer arrays model that considers rotation strategy and the cascaded hydrogen storage tank (HST) model, which accounts for both long-term and short-term storage. Next, an EMS for EH-HES is proposed, taking into account the operating conditions of the electrolyzer arrays. The transition between the three operating states of the electrolyzer arrays is managed through rapid charging and discharging of the battery (BT), optimizing the interaction between electrical energy storage (EES) and HES. Finally, a two-layer optimized operation model for EH-HES is constructed. The upper layer model aims to minimize the total annual system cost by optimizing energy storage capacity, while the lower layer model focuses on minimizing the levelized cost of hydrogen energy storage (LCHS) through optimized operation. Simulation results indicate that the proposed method can decrease the system power curtailment rate by 10.93%, boost green hydrogen production by 5.7%, and effectively enhance renewable energy consumption.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.32604/ee.2026.076766first seen 2026-05-15 20:18:17
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