Low-Carbon Scheduling of Virtual Power Plants Considering Electricity-Carbon Coupling Effects and Demand Response
Zhaolin Chen, Jie Yu
🤖 gxceed AI 要約
日本語
本論文は、電気-炭素連成効果とデマンドレスポンスを考慮した仮想発電所（VPP）の低炭素スケジューリングモデルを提案。カーボンコストを時間帯別料金に組み込む連成係数を導入し、ラダー型炭素取引とデマンドレスポンスを統合。シミュレーションにより、負荷を低炭素時間帯にシフトし、蓄電池・EV・負荷の協調を改善、正味炭素排出量を削減することを実証。
English
This paper proposes a low-carbon scheduling model for virtual power plants (VPPs) that integrates electricity-carbon coupling and demand response. A coupling coefficient embeds carbon cost into time-of-use pricing, and a ladder carbon trading mechanism is combined with demand response. Simulation results show the model effectively shifts loads to low-carbon periods, improves coordination among storage, EVs, and loads, and reduces net carbon emissions.
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
日本でもVPPやデマンドレスポンスの活用が進む中、炭素価格と電力価格の連成を考慮したスケジューリング手法は、今後導入が予定されるカーボンプライシング制度や需要家側の低炭素行動を促進する可能性があり、SSBJ対応の観点からも示唆に富む。
In the global GX context
This paper contributes to global GX literature by presenting a practical operational model that links carbon pricing to power dispatch, relevant for integrating carbon markets with electricity markets. It offers insights for VPP operators and utilities in regions like the EU and US that are implementing carbon pricing and demand response programs.
👥 読者別の含意
🔬研究者:The electricity-carbon coupling coefficient and integrated ladder carbon trading model provide a novel method for VPP scheduling optimization under carbon constraints.
🏢実務担当者:VPP operators and utilities can apply this model to reduce carbon emissions and operational costs by shifting loads to low-carbon periods.
🏛政策担当者:The coupling mechanism illustrates how carbon pricing and demand response can be linked in power system operations, informing carbon market design.
📄 Abstract（原文）
In the context of dual-carbon goals and the new power system, virtual power plants (VPPs) enhance low-carbon operation and flexibility by aggregating distributed resources. However, existing research is mostly based on time-of-use (TOU) pricing or a single carbon constraint, neglecting the joint effect of electricity and carbon prices and the coupling between demand response and low-carbon operation. To address this gap, this paper proposes a demand response model with electricity-carbon coupling, where a coupling coefficient embeds carbon cost into the TOU framework. Then, an optimal VPP scheduling model integrating ladder carbon trading and demand response is constructed. The Simulation results show that the mechanism effectively shifts loads to low-carbon periods, improves coordination among energy storage, electric vehicles (EVs), and loads, reduces net carbon emissions, and enhances overall operational efficiency.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/epsic70071.2026.11590169first seen 2026-07-13 06:35:58
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