Coordination Optimization Scheduling of Transmission and Distribution Networks Considering Demand Response Flexibility in Carbon-Electric Coupled Markets
炭素-電力結合市場における需要応答柔軟性を考慮した送配電ネットワークの協調最適化スケジューリング (AI 翻訳)
Lixia Wang, Haodong Zhao, Dawei Wang, Fang Dong, Tianming Feng, Rui Xiong
🤖 gxceed AI 要約
日本語
本論文は、炭素-電力結合市場環境下での高比率再生可能エネルギー統合の運用課題に対応するため、需要応答の柔軟性を考慮した送配電ネットワークの協調最適化スケジューリング手法を提案する。提案手法は、送電網側に炭素取引コストを導入し、配電網側で価格ベースおよびインセンティブベースの需要応答リソースを精緻にモデル化する。総運用コスト最小化を目的とした最適化モデルを確立し、炭素制約と運用制約を連携させることで、炭素-電力コストの協調最適化を実現する。ケーススタディにより、再生可能エネルギーの消費促進、炭素排出量と運用コストの削減が実証された。
English
This paper proposes a coordinated optimization scheduling method for transmission and distribution networks that considers demand response flexibility in a carbon-electric coupled market. It introduces carbon trading costs on the transmission side and models price-based and incentive-based demand response on the distribution side. The optimization model minimizes total operating costs while coordinating carbon and operational constraints, using a distributed solution architecture based on goal cascade analysis. Case studies show effective promotion of renewable energy consumption and reduction of carbon emissions and operating 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
本論文は、日本の電力システム改革（特に送配電分離）や、再生可能エネルギー大量導入下での需給調整市場と連動したカーボンプライシング施策（GX-ETSなど）に示唆を与える。SSBJや有報での気候変動リスク開示にも間接的に関連する。
In the global GX context
This paper contributes to global research on carbon-electricity coupled markets, particularly relevant for power systems with high renewable penetration. The coordination of transmission and distribution networks with demand response flexibility addresses challenges faced by many countries in integrating carbon pricing with electricity markets. The distributed solution approach also addresses data privacy concerns relevant to liberalized electricity markets.
👥 読者別の含意
🔬研究者:A distributed optimization methodology for coordinating transmission and distribution networks with carbon-electric coupling, offering insights for multi-level scheduling.
🏢実務担当者:Utility operators and grid managers can apply the proposed scheduling method to reduce operating costs and emissions while integrating demand response.
🏛政策担当者:Policymakers can consider the implications of combining carbon trading with demand response mechanisms for grid reliability and decarbonization.
📄 Abstract（原文）
In response to the operational challenges brought by the integration of high-proportion renewable energy under the carbon-electric coupling market environment, this paper proposes a coordinated optimization scheduling method for transmission and distribution networks that considers the flexibility of demand response. Traditional scheduling modes find it difficult to fully coordinate resources at the transmission and distribution levels, limiting improvements in system economy and low-carbon benefits. The proposed method introduces carbon trading costs on the transmission network side and finely models price-based and incentive-based demand response resources on the distribution network side. By establishing an optimization model aimed at minimizing total operating costs, and coordinating carbon constraints with operational constraints, it achieves carbon-electric cost synergistic optimization. To ensure information privacy and computational efficiency, a distributed solution architecture based on the goal cascade analysis method is designed. Case study results show that this method can effectively promote renewable energy consumption, reduce system carbon emissions and operating costs, and provide theoretical and technical support for multi-level coordinated scheduling in new types of power systems.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1145/3804601.3804806first seen 2026-07-18 06:56:07
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