Considering Spatiotemporal Mutual Support in Island Microgrid Cluster Shared Electricity-Ammonia Energy Storage Double-Layer Optimal Scheduling
島嶼マイクログリッドクラスターにおける時空間相互支援を考慮した共有電力-アンモニア蓄エネルギー二重層最適スケジューリング (AI 翻訳)
Zhensong Zeng, Ye Yao, Dingfei Que, Shida Lai
🤖 gxceed AI 要約
日本語
本論文は、離島クラスターのエネルギー需給の時空間ミスマッチに対処するため、電力とアンモニアの共有蓄エネルギー運用モードを提案。二段階最適スケジューリングモデルを構築し、上位の蓄エネルギー事業者が価格設定、下位の島マイクログリッドが機器出力と売買戦略を最適化する。ケーススタディにより、再エネ利用率向上、二酸化炭素排出削減、ディーゼル依存低減と複数事業者の経済性を両立できることを実証した。
English
This paper proposes a shared electricity-ammonia energy storage operation mode for island microgrid clusters to address spatiotemporal energy mismatches. A bi-level optimal scheduling model is constructed where the upper-level storage operator sets prices and lower-level microgrids optimize equipment output and trading strategies. Case studies show improved renewable energy utilization, reduced carbon emissions, reduced diesel dependence, and balanced economic benefits for multiple stakeholders.
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
日本は多数の離島を抱え、ディーゼル依存からの脱却と再エネ導入が課題。本モデルはアンモニア蓄エネルギーを活用した時空間的なエネルギー融通により、島嶼部のエネルギー自給率向上と脱炭素化に示唆を与える。
In the global GX context
Island energy systems globally face renewable integration challenges. This model demonstrates how shared ammonia energy storage can enable spatiotemporal energy complementarity, reducing diesel use and emissions while maintaining economic viability, offering insights for remote and island communities.
👥 読者別の含意
🔬研究者:This paper provides a bi-level optimization framework for shared energy storage in island microgrids with ammonia as a long-duration storage vector.
🏢実務担当者:Microgrid operators can use the model to optimize storage sharing and pricing strategies, reducing costs and diesel dependency.
🏛政策担当者:Policymakers can reference the model to design incentives for shared energy storage and ammonia as a clean energy carrier for island decarbonization.
📄 Abstract（原文）
To address the coexistence of limited renewable energy accommodation and persistent diesel dependence caused by the spatiotemporal mismatch between energy supply and demand in remote island clusters, this paper proposes a shared electricity–ammonia energy storage operation mode for island microgrid clusters that considers energy spatiotemporal complementarity. A bi-level optimal scheduling model is constructed, with the shared energy storage operator at the upper level and island microgrid operators at the lower level. The upper level maximizes its own profit by setting electricity and ammonia energy transaction prices, while the lower level optimizes equipment output and energy purchase–sale strategies in response to price signals, thereby reducing overall operating costs. Through the bidirectional interaction between upper-level pricing decisions and lower-level energy trading responses, an operating outcome that balances the interests of both parties is ultimately achieved. Finally, the bi-level model is reformulated into a single-level mixed-integer linear programming model for solution. Case studies demonstrate that the proposed mode can fully exploit the long-duration storage advantages of ammonia energy, promote complementary energy transfer across both temporal and spatial dimensions within island clusters, and, while improving renewable energy utilization, reducing carbon emissions, and mitigating dependence on diesel generation, also account for the economic benefits of multiple stakeholders.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/epsic70071.2026.11590808first seen 2026-07-13 06:39:37
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。