Virtual power plant in China's electricity-carbon-green certificate markets: A system dynamics analysis of inter-provincial trading
中国の電力・炭素・グリーン証書市場における仮想発電所：省間取引のシステムダイナミクス分析 (AI 翻訳)
Bowen Tang, Xiao Liu, Haiyang Jiang, Yi Xu
🤖 gxceed AI 要約
日本語
本研究は、中国の省間取引における仮想発電所（VPP）の役割を、システムダイナミクスモデルを用いて分析。高需要地域と再エネ豊富地域の2つのVPPを想定し、5つの取引シナリオをシミュレーション。省間取引により炭素排出量やグリーン証書価格に格差が生じ、収益最大化と排出削減のトレードオフが明らかになった。
English
This study uses a system dynamics model to analyze the participation of Virtual Power Plants (VPPs) in China's inter-provincial electricity-carbon-green certificate markets. Two provincial VPPs (high-demand vs. renewable-rich) are simulated under five trading scenarios. Results show price disparities enabling arbitrage, heterogeneous revenue structures, and divergent sustainability impacts: one VPP reduces emissions by 53% while the other faces a 42% increase due to coal backup.
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
中国の炭素市場とグリーン証書市場の連携は、日本のGX政策においても参考になる。特に、省間取引のメカニズム設計やVPPの活用は、日本国内の地域間電力融通やカーボンプライシングに示唆を与える。
In the global GX context
This paper provides a system dynamics simulation of VPPs in China's coordinated electricity-carbon-green certificate markets, highlighting inter-provincial trading dynamics. It contributes to the global understanding of VPPs as a tool for integrating distributed energy resources and carbon markets, with implications for similar multi-market mechanisms elsewhere.
👥 読者別の含意
🔬研究者:System dynamics modelers and carbon market scholars can learn from the detailed scenario analysis and the trade-off between revenue and emissions.
🏢実務担当者:VPP operators and energy traders can gain insights into arbitrage opportunities in multi-market settings, especially across provinces.
🏛政策担当者:Chinese policymakers can use the findings to design province-specific trading policies that align economic incentives with emission reduction targets.
📄 Abstract（原文）
China's new power system faces dual challenges: inefficient aggregation of distributed energy and underdeveloped inter-provincial trading mechanisms. Virtual power plant (VPP), leveraging its resource integration and flexible scheduling capabilities, could mitigate these issues. This study employs a system dynamics model to simulate VPP participation in coordinated electricity-carbon-green certificate markets, designing five trading scenarios for two provincial VPPs (VPP1: high-demand; VPP2: renewable-rich). Results show: (1) inter-provincial price disparities—carbon emissions and green certificate trading prices vary by 7%–30% and 3%–49%, respectively, enabling VPPs to exploit arbitrage opportunities; (2) heterogeneous revenue structures—inter-provincial carbon-green certificate trading enhances VPP1's carbon emissions trading market revenue more than its tradable green certificate market revenue, whereas VPP2 exhibits the opposite trend; (3) revenue optimization—inter-provincial electricity trading increases total income for VPP1 and VPP2 by 14.1% and 28.1%, respectively, with electricity sales remaining the primary revenue stream; and (4) divergent sustainability impacts—VPP1 reduces carbon emissions by 53% (138.7t), whereas VPP2 faces a 42% (3.5t) increase due to coal-based backup generation. In addition, VPP2 avoided the expiration of 149 500 green certificates. This study highlights the necessity of province-specific trading policies, maximizing the advantages of the VPP to align economic incentives with emission reduction goals.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1063/5.0306442first seen 2026-05-05 22:52:32
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