Differential Electricity Pricing and Load Management Strategies for Virtual Power Plant Considering the Synergistic Effect of Green Certificate Trading and Carbon Trading
グリーン証書取引と炭素取引の相乗効果を考慮した仮想発電所の差別化電力価格設定と負荷管理戦略 (AI 翻訳)
Xiaoou Liu
🤖 gxceed AI 要約
日本語
本論文は、中国北部の暖房地域におけるCHPユニットの熱電制約を解決するため、電動ヒートポンプ、炭素回収システム、共有蓄電を組み込んだ仮想発電所（VPP）フレームワークを提案。VPPと産業ユーザ間のリーダー・フォロワーゲームモデルを構築し、グリーン証書取引と炭素排出権取引の相乗効果を考慮した差別化電力価格戦略を最適化。天津の事例分析では、VPP利益が110%以上向上、炭素排出量13.9%削減、ユーザーコスト4.56%低減を実証。
English
This paper proposes a virtual power plant (VPP) framework with electric heat pump, carbon capture, and shared storage to overcome CHP heat-power coupling in northern China. A leader-follower game optimizes differential pricing considering green certificate and carbon trading synergy. A Tianjin case study shows over 110% VPP profit increase, 13.9% carbon reduction, and 4.56% lower user costs.
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
中国の事例だが、炭素取引とグリーン証書取引の連携は日本のGX-ETSや非化石証書市場にも応用可能。VPPと需要家の価格設計は、日本におけるカーボンプライシングと再エネ促進策の統合に示唆を与える。
In the global GX context
This study demonstrates how combining carbon and green certificate markets can boost VPP profitability and decarbonization. It offers a model for countries like Japan that are introducing carbon pricing and renewable energy certificate systems, showing potential for integrated market design and demand-side flexibility.
👥 読者別の含意
🔬研究者:A novel optimization framework combining carbon and green certificate trading with VPP operations, applicable to similar integrated market designs.
🏢実務担当者:Demonstrates how differential pricing and flexible equipment can enhance VPP profitability while reducing emissions, useful for corporate sustainability teams designing demand-side management.
🏛政策担当者:Provides evidence for the synergistic benefits of linking carbon and green certificate markets, informing the design of integrated climate policy frameworks.
📄 Abstract（原文）
Under the carbon neutrality goals, this paper addresses the critical challenge of enhancing operational flexibility and low‐carbon performance in northern China’s heating regions, where the power generation determined by heat for combined heat and power (CHP) unit restricts renewable energy consumption. To tackle this, a novel virtual power plant (VPP) framework is proposed by incorporating electric heat pump (EHP), carbon capture system, and shared energy storage. A leader‐follower game model is also built between the VPP and multiple industrial users. The upper‐level model optimizes VPP profit by designing differential electricity pricing strategies considering the synergistic effect of green certificate trading (GCT) and carbon emission trading (CET), solved using a self‐adaptive immune genetic algorithm (SIGA). The lower‐level model minimizes user costs through production process‐based load management, solved via a dual ascent and alternating direction multiplier method. Example analysis from Tianjin, China, demonstrates that the proposed strategy increases VPP profit by over 110% compared to a baseline scenario, reduces carbon emissions by 13.9%, enhances the capacity of renewable energy utilization, and lowers total user costs by 4.56%. These results verify that the synergistic GCT‐CET mechanism, combined with flexible equipment configuration and differentiated pricing, effectively coordinates low‐carbon transition, economic efficiency, and renewable energy consumption. It can provide a viable pathway for VPP operation in northern heating regions.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1155/er/4304140first seen 2026-05-05 22:48:24
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。