Synergistic Sizing of AGV Battery Swapping Systems in Green Port Microgrids Considering Source-Load Coupling
グリーンポートマイクログリッドにおけるAGVバッテリ交換システムの協調的サイジング：源負荷結合を考慮して (AI 翻訳)
Haoyu Li, Zhimin Wang, Ershun Pan
🤖 gxceed AI 要約
日本語
本論文は、再生可能エネルギー高普及率の港湾マイクログリッドにおいて、AGVバッテリ交換システムの協調的サイジング手法を提案する。風力・太陽光の変動性とAGVの連続的負荷需要のミスマッチを解消するため、二重有限源閉ループマルコフモデルを開発し、供給依存サービス率を導入。シミュレーション統合NSGA-IIアルゴリズムで確率制約を評価し、上海洋山港の実データを用いた検証により、年間システムコスト約20%削減と95%サービスレベルを達成した。風力主体のシナリオでは再生可能エネルギー浸透率0.91を実現し、経済性と運用レジリエンスのバランスを示した。
English
This paper proposes a synergistic sizing framework for AGV battery swapping systems in green port microgrids with high renewable penetration. A dual-finite-source closed-loop Markov model captures the coupling between logistics demand and renewable energy supply, incorporating a supply-dependent service rate. A Simulation-Integrated NSGA-II algorithm solves the stochastic optimization with chance constraints. Case studies at Shanghai Yangshan Port show a 20% annual cost reduction and 95% service level, achieving 0.91 renewable penetration in wind-dominant scenarios.
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
日本では横浜港や神戸港などでカーボンニュートラルポート（CNP）構想が進んでおり、本手法はAGVの電化とマイクログリッド最適化を統合した協調設計として参考になる。特に風力・太陽光の変動をAGVバッテリ交換システムの運用に組み込む点は、日本港湾の再エネ導入拡大に貢献し得る。
In the global GX context
Global ports are key decarbonization nodes. This study demonstrates how source-load coupling can improve renewable integration and reduce costs in port microgrids, directly relevant to international green port initiatives. The methodology provides a template for other high-renewable logistic hubs.
👥 読者別の含意
🔬研究者:A novel dual-queue Markov model and simulation-integrated NSGA-II for coupled energy-logistics optimization.
🏢実務担当者:Demonstrates 20% cost savings and 95% service reliability for port AGV battery swapping system design.
🏛政策担当者:Provides quantitative evidence for renewable integration in port decarbonization policies.
📄 Abstract（原文）
The rapid decarbonization of maritime hubs necessitates the integration of high-penetration wind-solar-storage microgrids. However, the stochastic intermittency of renewable generation creates a fundamental conflict with the continuous, high-reliability energy demands of Automated Guided Vehicles (AGVs). Traditional sizing models often decouple energy supply from logistic demand, failing to capture how real-time power availability constrains charging throughput. To address this gap, this paper proposes a resilient synergistic sizing framework for AGV battery swapping systems that explicitly addresses “source-load coupling.” We develop a dual-finite-source closed-loop Markovian model to characterize the dynamic interaction between the logistic queue (AGV demand) and the energy queue (battery charging). Crucially, a supply-dependent service rate mechanism is introduced to quantify how renewable fluctuations impact charging service capacity. To solve this complex stochastic optimization problem, a Simulation-Integrated NSGA-II algorithm is designed, which embeds a time-sequential simulation kernel to rigorously evaluate chance constraints regarding service level reliability. Case studies based on real-world data from Shanghai Yangshan Port demonstrate the effectiveness of the proposed method. Results indicate that the synergistic configuration reduces the annualized system cost by approximately $20 \%$ compared to decoupled baselines while maintaining a $95 \%$ service level. Notably, in wind-dominant scenarios, the system achieves a renewable penetration rate of 0.91, effectively balancing economic efficiency with operational resilience.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/peed69047.2026.00057first seen 2026-05-15 20:19:20 · last seen 2026-06-16 05:10:47
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