Operation Optimization of Electric Vehicle Battery Swapping Stations via Virtual Power Plant and Carbon Trading
仮想発電所と炭素取引による電気自動車バッテリースワップステーションの運用最適化 (AI 翻訳)
Xieyu Hu, Y Huang, Yilin Huang, Yongjian Zhao, Zhouchun Huang, Yu Liang
🤖 gxceed AI 要約
日本語
本研究は、電気自動車のバッテリースワップステーション（BSS）の運用最適化において、仮想発電所（VPP）と炭素取引メカニズムを統合する手法を提案する。充放電スケジュールを動的に調整し、エネルギーコストと炭素排出の協調最適化を実現する。シミュレーション結果は、提案手法がBSSの経済性と環境便益を最大化し、持続可能な電力システムの発展に寄与することを示している。
English
This study proposes a collaborative optimization method integrating virtual power plants (VPPs) and carbon trading for electric vehicle battery swapping stations (BSSs). By dynamically adjusting charging and discharging schedules, the approach achieves coordinated optimization of energy costs and carbon emissions. Simulation results demonstrate significant reductions in overall carbon emissions while maximizing economic and environmental benefits, supporting sustainable power system development.
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
本論文は中国の研究であるが、VPPと炭素取引を組み合わせたBSS運用最適化の枠組みは、日本のEVインフラやカーボンプライシング政策にも応用可能な示唆を与える。日本のエネルギー企業や自治体がVPPやJ-クレジットを活用する際の参考となる。
In the global GX context
This Chinese study offers a transferable model for integrating virtual power plants and carbon trading into EV battery swapping station operations, relevant globally as countries expand EV infrastructure and carbon markets. The optimization framework can inform similar initiatives under the EU ETS or California's cap-and-trade program.
👥 読者別の含意
🔬研究者:Provides a novel optimization algorithm combining VPP and carbon trading for BSS operations, useful for further research in EV-grid integration and carbon market design.
🏢実務担当者:Offers a practical method for BSS operators to reduce costs and emissions by participating in VPP and carbon trading markets.
🏛政策担当者:Demonstrates how carbon pricing can incentivize efficient EV infrastructure operations, informing the design of carbon trading systems and EV policies.
📄 Abstract（原文）
Battery swapping stations (BSSs) serve as critical nodes for electric vehicle energy supply and power load regulation, representing important regulatory resources in modern power systems and making their operational optimization essential for reducing carbon emissions and improving energy efficiency. To address the lack of carbon emission management and low battery utilization efficiency in existing BSS operations, this study proposes a collaborative optimization method that integrates virtual power plants (VPPs) and carbon trading mechanisms. The proposed approach dynamically adjusts charging and discharging schedules to achieve coordinated optimization of energy costs and carbon emissions. A comprehensive BSS operational model considering VPP participation and carbon trading is established, comparing the performance between conventional operation modes and collaborative mechanisms, followed by optimization analysis of four strategic approaches. The simulation results demonstrate that the proposed method effectively promotes collaborative optimization of BSS in both VPP and carbon trading markets. Through flexible strategy combinations, the approach significantly reduces overall carbon emissions while maximizing both the economic and environmental benefits of BSS operations, providing important support for the sustainable development of modern power systems.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/en19102341first seen 2026-05-15 18:23:59
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