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Multi-Time Scale Optimal Dispatching of Virtual Power Plants under Carbon-Green Certificate Interconnected Trading

カーボン・グリーン証書相互取引下における仮想発電所の多時間スケール最適運用 (AI 翻訳)

Huang M, Zhu R, Li H, Yang X, Liu H, Xu J

Research Squareプレプリント2026-07-10#エネルギー転換Origin: CN経営インパクト: コスト削減対象セクター: power
DOI: 10.21203/rs.3.rs-10068021/v1
原典: https://doi.org/10.21203/rs.3.rs-10068021/v1

🤖 gxceed AI 要約

日本語

本論文は、カーボン・グリーン証書の相互取引メカニズムを導入し、二重計算やクロスサブシディのリスクを回避しつつ、日前と日内の二段階最適運用を実現する手法を提案。ロバスト最適化とモデル予測制御を用いて再生可能エネルギーの変動に対処し、低炭素かつ経済的な運用を達成。数値例では、繰り返し計算利益を45,449元削減し、排出量を1,014kg削減する効果を示した。

English

This paper proposes a multi-time-scale optimal dispatching method for virtual power plants (VPPs) under a carbon-green certificate interconnected trading mechanism. It addresses double-counting and cross-subsidization risks using two-layer robust optimization in day-ahead and distributed model predictive control in intra-day. Simulation results show significant cost savings (45,449 CNY reduction in repeated benefits) and emission reduction (1,014 kg CO2).

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

日本のカーボン市場やグリーン証書制度（J-クレジット、非化石証書）の発展にも示唆を与える。VPP実証プロジェクトにおいて、本手法の多時間スケール最適化は経済性と環境性の両立に貢献できる。

In the global GX context

This work provides a framework for integrating carbon and green certificate markets in VPP dispatch, relevant to international efforts on dual-carbon mechanisms. The optimization approach is applicable to regions like the EU with overlapping emission trading and renewable certificate systems.

👥 読者別の含意

🔬研究者:Studies the coupling of carbon and green certificate markets in VPP dispatch, offering a novel optimization framework that addresses cross-subsidization risks.

🏢実務担当者:VPP operators can adopt the proposed dispatch strategy to reduce operational costs and emissions while navigating market incentives.

🏛政策担当者:Highlights the risk of double-counting and cross-subsidization in carbon and certificate markets, suggesting mechanism design improvements to avoid greenwashing.

📄 Abstract（原文）

<title>Abstract</title> <p>As the "dual-carbon" market-oriented mechanisms continue to advance, they have incentivized the further penetration of renewable energy into virtual power plants (VPPs). However, risks of cross-subsidization and "greenwashing" have emerged in the linkage of market mechanisms. To achieve low-carbon and economic dispatching, a VPP multi-time-scale optimal dispatching method under carbon-green certificate interconnected trading is proposed.In the day-ahead dispatching stage, a carbon-green certificate interconnected trading mechanism (C-GITM) is established to avoid double-counting and cross-subsidization risks among market mechanisms. Meanwhile, to address the energy fluctuation issues caused by the large-scale integration of renewable energy triggered by market incentives, a two-layer robust optimal dispatching model with adjustable conservativeness is introduced and combined with market incentives to adapt to the risk preferences of different operating scenarios.In the intra-day dispatching stage, a distributed model predictive control method is employed to construct an intra-day rolling optimization and real-time adjustment optimal dispatching model, effectively mitigating the random fluctuations on both the supply and demand sides during the intra-day period.The simulation results show that after reducing the repeated-calculation benefits by 45,449 CNY and the additional adjustment expenses by 15,791 CNY, the actual carbon emissions of this strategy decrease by 1,014 kg. The proposed optimal dispatching strategy can achieve low-carbon and economic operation of VPPs while mitigating various uncertainties from sources and loads under fair market incentives.</p>

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