Low-Carbon Optimal Scheduling of an Integrated Energy System with Wind-PV Uncertainty, Demand Response, and Ladder-Type Negative Carbon Trading
風力・PV不確実性、デマンドレスポンス、ラダー型ネガティブカーボン取引を考慮した統合エネルギーシステムの低炭素最適スケジューリング (AI 翻訳)
Zitong Feng
🤖 gxceed AI 要約
日本語
中国のダブルカーボン目標下で、風力・太陽光の不確実性、デマンドレスポンス、ラダー型ネガティブカーボン取引を統合した統合エネルギーシステムの最適運用モデルを提案。確率距離に基づくシナリオ削減法で不確実性を表現し、運用コスト・炭素排出・再生可能エネルギー利用を協調させる。ケーススタディで炭素排出削減と経済性向上を確認し、炭素価格の感度分析でモデルの有効性を示した。
English
This paper proposes an optimal dispatch model for integrated energy systems under China's dual-carbon targets, integrating wind-PV uncertainty, demand response, and a ladder-type negative carbon trading mechanism. A scenario reduction method based on probability distance handles renewable uncertainty, while demand response improves load flexibility. Case studies show reduced carbon emissions, enhanced economic performance, and increased renewable accommodation, with sensitivity analysis confirming model validity.
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、カーボンプライシングや再エネ導入拡大の政策議論に示唆を与える。特に、ネガティブカーボン取引の設計は、日本の排出量取引制度やカーボンクレジット制度の参考になり得る。
In the global GX context
This paper contributes to global GX scholarship by demonstrating a modeling approach that integrates carbon trading with renewable uncertainty and demand response in energy systems. It offers insights for regions implementing carbon pricing mechanisms and renewable integration, relevant to global energy transition policy.
👥 読者別の含意
🔬研究者:Provides a novel optimization model combining carbon trading, renewable uncertainty, and demand response for integrated energy systems.
🏢実務担当者:Offers a framework for energy system operators to reduce carbon emissions and costs while increasing renewable use.
🏛政策担当者:Highlights the effectiveness of ladder-type carbon trading in promoting low-carbon dispatch, informing carbon pricing policy design.
📄 Abstract（原文）
To achieve optimal low-carbon operation of integrated energy systems under China’s dual-carbon targets, this paper offers an optimal dispatch model incorporating wind-photovoltaic uncertainty, demand response, and ladder-type negative carbon trading mechanism. A fast forward scenario reduction method based on the probability distance is proposed for describing the uncertainty of renewable output and demand response is introduced to improve the flexibility of the load side. The adverse carbon trading mechanism is integrated for promoting renewable energy use and emission reduction. Based on that, the model is to coordinate the operating cost, carbon emissions and renewable energy use. The results of the case study indicate that the proposed approach can reduce the carbon emissions, enhance the economic performance and encourage the renewable energy accommodation. The sensitivity analysis of carbon trading prices further confirms the validity and adaptability of the model, which provides assistance for low-carbon dispatch of integrated energy systems.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/sesg69629.2026.11634419first seen 2026-08-14 05:24:23
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