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地域マルチエネルギーシステムにおけるV2G対応PEVの多目的スケジューリング：時間変動運用プロファイルを用いた収益性と炭素排出のバランス

Multi-Objective Scheduling of V2G-Enabled PEVs in Local Multi-Energy Systems: Balancing Profitability and Carbon Emissions Using Time-Varying Operational Profiles (原題)

Yan Hou, Shuling Yang

Distributed Generation & Alternative Energy Journal📚 査読済 / ジャーナル2026-08-05#エネルギー転換経営インパクト: コスト削減対象セクター: power
DOI: 10.13052/dgaej2156-3306.4144
原典: https://doi.org/10.13052/dgaej2156-3306.4144

🤖 gxceed AI 要約

日本語

本研究は、V2G/G2V技術を備えたプラグイン電気自動車（PEV）を地域マルチエネルギーシステム（LMES）に統合する多目的最適化フレームワークを提案する。経済的利益の最大化とCO2排出の最小化を同時に図り、時間変動する電力価格と再生可能エネルギー出力を考慮する。シミュレーションの結果、V2G導入により事業者利益は約22,000ドルに増加し、CO2排出は約3,500kgに削減された。住宅・商業・産業ユーザーの柔軟性パターンの違いも明らかにされ、効率的なスケジューリングが可能となる。

English

This study proposes a multi-objective optimization framework integrating V2G/G2V-enabled plug-in electric vehicles (PEVs) into local multi-energy systems (LMESs), maximizing economic profit while minimizing CO2 emissions under time-varying electricity prices and renewable generation. Simulation results show V2G increases operator profit to about $22,000 and reduces CO2 emissions to about 3,500 kg. Differentiated flexibility patterns for residential, commercial, and industrial users enable more effective scheduling.

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、再生可能エネルギーの導入拡大に伴い、V2G技術を活用した需給調整が注目されている。本研究成果は、地域エネルギー管理やEVの系統統合に関する政策立案や実証実験に示唆を与える。特に、SSBJ開示やカーボンニュートラル目標に向けた企業のエネルギー戦略に有用な知見を提供する。

In the global GX context

Globally, this research contributes to the growing literature on V2G integration and multi-energy system optimization, relevant for grid decarbonization and energy transition. The findings support the business case for V2G by quantifying economic and environmental co-benefits, which is valuable for utilities, aggregators, and policymakers designing incentives for EV grid services.

👥 読者別の含意

🔬研究者:Provides a multi-objective optimization framework for V2G scheduling that balances profit and carbon, with insights on user flexibility patterns.

🏢実務担当者:Offers quantitative evidence on the economic and environmental benefits of V2G, useful for energy managers and EV fleet operators.

🏛政策担当者:Demonstrates the potential of V2G to reduce emissions and increase profitability, informing policies that incentivize EV grid integration.

📄 Abstract（原文）

Plug-in electric vehicles (EVs) introduce both benefits and challenges to effective energy regulation when considered in contemporary power systems. To incorporate PEVs with V2G and G2V technology into LMESs, the authors of this study propose an in-depth MOO framework, which maximizes economic profitability and minimizes CO2 emissions through simulations of a system with gas carriers, electricity, heating, cooling, and other renewable energy sources (RES), including photovoltaics, CHP units, and thermal storage. The model relies on time-varying operational inputs, including varying electricity prices and variable RES generation profiles. Findings indicate that PEV integration progressively improves both economic and environmental performance across the examined scenarios. Compared with the No-PEV case, G2V operation increases operator profit from about 12000$ to about 18000$ while reducing CO2 emissions from about 6000 kg to about 4800 kg. When V2G is enabled, operator profit rises further to about 22000$ and total CO2 emissions decline to about 3500 kg. The Pareto frontier further confirms a clear trade-off between environmental and economic objectives, spanning approximately 1800-3500 kg CO2 and 12000$–22000$ across the sampled solutions. The study of PEV behavior in clusters further shows differentiated flexibility patterns for residential, commercial, and industrial users, enabling more effective scheduling of G2V and V2G interactions and better utilization of the grid. By promoting the use of V2G and scalable optimization strategies in multi-carrier energy systems, this work provides a solid foundation for sustainable energy management.

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