日前市場と炭素取引市場における仮想発電所運用の最適化
Optimizing Virtual Power Plant Operation in a Day-Ahead Market and Carbon Trading Market (原題)
Nhung Nguyen-Hong, Anh Vu-Tuan, Tung Vu-Quang
🤖 gxceed AI 要約
日本語
本論文は、CCSとP2G技術を統合した仮想発電所（VPP）が、日前電力市場と炭素取引市場の両方に参加する際の最適運用モデルを提案する。混合整数線形計画法を用いて、CO2販売収入も考慮した収益性と排出削減の両立を図る。ケーススタディにより、炭素市場制約下での運用利益向上とCO2削減効果を実証した。
English
This paper proposes an optimization framework for a Virtual Power Plant (VPP) integrating CCS and P2G technologies, participating in both day-ahead electricity and carbon trading markets. Using mixed-integer linear programming, it maximizes profitability while reducing CO2 emissions, considering revenue from selling high-purity CO2. Case studies demonstrate improved operating profit and emission reductions under carbon market constraints.
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、GX推進法や排出量取引制度の本格稼働を見据え、VPPやCCSを活用した電力システムの低炭素化が注目されている。本研究成果は、炭素価格シグナルを活用した運用最適化の具体策を示し、今後の制度設計や企業の電力調達戦略に示唆を与える。
In the global GX context
Globally, this research aligns with the growing integration of carbon pricing mechanisms and power system optimization. It provides a practical model for VPP operators to navigate carbon markets, contributing to the literature on low-carbon energy transitions and offering insights for jurisdictions implementing carbon trading alongside electricity markets.
👥 読者別の含意
🔬研究者:Provides a rigorous MILP framework for VPP operation with CCS/P2G and carbon trading, useful for extending to other market designs or technologies.
🏢実務担当者:Offers a decision-support tool for VPP operators to optimize revenue and emissions under carbon pricing, potentially applicable to real-world trading strategies.
🏛政策担当者:Demonstrates how carbon trading can incentivize CCS integration in VPPs, informing policy design for market coupling and emission reduction targets.
📄 Abstract（原文）
Reducing greenhouse gas emissions has become a central objective in modern power system operation, particularly under the increasing pressure of carbon pricing and trading mechanisms. This paper develops an optimization framework for a Virtual Power Plant (VPP) that integrates Carbon Capture and Storage (CCS) and Power-to-Gas (P2G) technologies while coordinating participation in both the day-ahead electricity market and the carbon trading market. The proposed model explicitly considers the production of a concentrated, high-purity CO2 stream from the CCS process, which can be supplied to CO2-consuming industries as an additional revenue source. The scheduling problem is formulated as a mixed-integer linear program and solved using CPLEX in Python. Case study results demonstrate that the coordinated strategy improves operating profitability while achieving meaningful CO2 emission reduction under carbon market constraints. The results highlight the potential of integrating CCS and carbon trading within VPP operation to support low-carbon power system transitions.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/icgea69553.2026.11642920first seen 2026-08-21 04:51:34 · last seen 2026-09-21 04:56:31
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