A low-carbon economic dispatch optimization model for power systems considering probabilistic carbon emission flow
確率的炭素排出フローを考慮した電力システムの低炭素経済ディスパッチ最適化モデル (AI 翻訳)
Xuanhao Tang, Pengkun Sun, Fengze Xie, Xueping Gu, Chao Yang
🤖 gxceed AI 要約
日本語
本論文は、確率的炭素排出フローと動的電力価格の結合メカニズムに基づく日前ディスパッチモデルを提案する。累積量法を用いて負荷側の炭素排出の確率的定量化を実現し、炭素と電力の価格結合メカニズムを導入する。総ディスパッチコスト最小化を目的とし、IEEE 30バスシステムでその精度と優位性を検証した。
English
This paper proposes a day-ahead dispatch model that couples probabilistic carbon emission flow with dynamic electricity pricing. Using the cumulant method, it probabilistically quantifies carbon emissions on the load side. A carbon-electricity price coupling mechanism is introduced, and the model is validated on the IEEE 30-bus system, demonstrating reduced dispatch costs and 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
本モデルは、日本における再生可能エネルギー導入拡大に伴う不確実性下での低炭素ディスパッチに示唆を与える。特に、炭素排出フローの確率的定量化は、日本の排出量取引制度やFIT制度下での運用最適化に貢献し得る。
In the global GX context
This work advances the integration of carbon emission flow with electricity pricing, relevant to global power systems with high renewable penetration and carbon pricing mechanisms such as EU ETS and RGGI. It offers a methodology for uncertainty-aware dispatch optimization that can inform decarbonization strategies worldwide.
👥 読者別の含意
🔬研究者:This paper provides a novel method for probabilistic carbon emission flow quantification in power dispatch, useful for further research on uncertainty-aware decarbonization.
🏢実務担当者:Utilities and grid operators can apply this model to optimize dispatch decisions under carbon pricing and renewable uncertainty, potentially reducing costs and emissions.
🏛政策担当者:Regulators designing carbon pricing mechanisms for power sectors may find the carbon-electricity coupling mechanism insightful for market design.
📄 Abstract（原文）
To address the impact of multi-source uncertainties on low-carbon economic dispatch of new power systems, this paper proposes a day-ahead optimal dispatch model for power systems based on a coupling mechanism between probabilistic carbon emission flow and dynamic electricity pricing. First, considering the stochastic fluctuations of renewable energy and load, a probabilistic carbon emission flow model is constructed using the cumulant method to achieve probabilistic quantification of carbon emission on the load side. Second, a carbon-electricity price coupling mechanism is proposed based on dynamic time-of-use prices including expected carbon potential. Finally, a low-carbon economic dispatch model aimed at minimizing total dispatching cost is established. The accuracy of the proposed probabilistic carbon emission flow model and the superiority of the dispatch strategy are validated based on the IEEE 30-bus system.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1049/icp.2026.1711first seen 2026-07-13 05:41:56
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