Research on collaborative planning and decentralized operation optimization of power system considering carbon pricing mechanism
炭素価格メカニズムを考慮した電力システムの協調計画と分散運用最適化に関する研究 (AI 翻訳)
Zhenchuan Du, Zhongwei Xiao, Hui Xiong, Wei Hu
🤖 gxceed AI 要約
日本語
本論文は、二重炭素目標のもと、炭素価格メカニズムが電力システムに与える影響を検討する。計画段階では非対称価格モデルを提案し、運用段階ではスタックルバーグゲームとADMMアルゴリズムを用いた分散最適化を実現する。IEEE 12ノードシステムでの検証により、炭素リーケージ抑制や排出枠配分効率向上の有効性を示した。
English
This paper addresses the impact of carbon pricing on power system planning and operation under China's dual carbon goals. It proposes an asymmetric pricing model for planning and a decentralized optimization using Stackelberg game and ADMM for operation. Case studies on IEEE 12-node system validate effectiveness in curbing carbon leakage and improving allowance allocation efficiency.
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GX文脈では、炭素価格メカニズム（排出量取引・炭素税）の電力系統計画への統合が注目されている。本論文は中国の事例だが、非対称価格や炭素リーケージ対策の枠組みは、日本の電源構成や地域間連系線計画にも示唆を与える。
In the global GX context
In the global GX context, this paper contributes to the literature on integrating carbon pricing with power system planning and operation. The novel asymmetric pricing model and decentralized trading mechanism offer insights for jurisdictions implementing carbon markets and grid decarbonization.
👥 読者別の含意
🔬研究者:Researchers in carbon pricing and power system optimization will find the integrated planning-operation framework and the use of game theory and ADMM valuable.
🏢実務担当者:Utility and grid operators can learn how to incorporate carbon pricing into system planning and enable peer-to-peer electricity and carbon trading.
🏛政策担当者:Policymakers can draw on the asymmetric pricing model to design carbon pricing mechanisms that mitigate carbon leakage while promoting efficient allowance allocation.
📄 Abstract（原文）
Driven by the "double carbon" goals, the carbon pricing mechanism, as a core policy tool guiding the low-carbon transformation of power systems, urgently requires systematic research on the impact of asymmetric pricing in the planning stage and the multi-agent collaborative optimization in the operation stage during its implementation. This paper establishes a collaborative optimization framework integrating bi-level planning of distribution networks and microgrids with decentralized operation of two-level carbon markets. First, for the planning stage, an asymmetric pricing model considering strong/weak compo-site carbon leakage effects is proposed, depicting leakage channels of cross-regional energy trading and industrial transfer through tie-line expansion planning and microgrid multi-site planning, and constructing mitigation mechanisms of free carbon emission allowances (CEA) and inter-regional carbon taxes. Second, in the operation stage, a CEA allocation framework for the primary carbon market based on Stackelberg game is designed, and a distributed optimization of peer-to-peer (P2P) trading of electricity and carbon in the secondary carbon market is realized by combining the dynamic penalty factor ADMM algorithm. Finally, case studies on the improved IEEE 12-node system and multi-regional power systems verify the effectiveness of the proposed model in inhibiting carbon leakage, improving allowance allocation efficiency, and ensuring privacy in decentralized trading. The research results provide an integrated planning-operation solution for the low-carbon transformation of power systems under the carbon pricing mechanism.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1049/icp.2026.1547first seen 2026-07-13 06:22:38
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