A Source-Load-Storage Alternating Coordinated Low-Carbon Economic Dispatch Method with Response-Gap Negative-Feedback Dual Incentives
応答ギャップ負帰還二重インセンティブを備えたソース・ロード・ストレージ交互協調低炭素経済ディスパッチ手法 (AI 翻訳)
Zelin Huo, Zhenhua Li, Junfeng Deng, Hongda Dou
🤖 gxceed AI 要約
日本語
高比率再生可能エネルギー統合下での電力系統運用において、熱電・風力・太陽光・CCS・段階的炭素取引を統合した二層交互協調ディスパッチ手法を提案。需要応答と蓄電をインセンティブで調整し、応答ギャップに基づく負帰還で閉ループ協調を実現。ケーススタディでは運用コスト2.89%削減、純炭素排出20.4%削減、再エネ受入率21.5ポイント向上。
English
Proposes a two-layer alternating coordinated dispatch method integrating thermal, wind, solar, CCS, and tiered carbon trading for high-renewable power systems. Uses response-gap negative-feedback dual incentives to coordinate demand response and storage, forming a closed-loop. Case study shows 2.89% cost reduction, 20.4% net carbon emission cut, and ~21.5 percentage point increase in renewable accommodation.
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
日本の電力系統では再生可能エネルギー導入拡大に伴う需給調整力の確保が課題であり、本手法のCCSと炭素取引を組み合わせた低炭素ディスパッチは、今後の系統運用やカーボンプライシング設計に示唆を与える。
In the global GX context
As grids integrate more renewables, this dispatch method offers a practical approach to balancing cost, emissions, and renewable accommodation, relevant to global efforts on carbon pricing and CCS integration in power systems.
👥 読者別の含意
🔬研究者:Provides a novel closed-loop coordination mechanism for low-carbon dispatch that could be extended to other energy systems.
🏢実務担当者:Offers a concrete method for grid operators to reduce costs and emissions while increasing renewable integration.
🏛政策担当者:Highlights the effectiveness of tiered carbon trading and CCS in achieving emission reductions in power dispatch.
📄 Abstract（原文）
High-penetration renewable energy integration intensifies net-load fluctuations, renewable energy curtailment, and carbon-emission control challenges in power system dispatch. To improve low-carbon operation and source-load-storage coordination, this study proposes a two-layer alternating coordinated dispatch method with response-gap negative-feedback dual incentives. The dispatch-side layer jointly optimizes thermal generation, wind and photovoltaic power, carbon capture and storage, and ladder-type carbon trading, while the load-storage layer coordinates demand response and energy storage through peak-shaving and renewable-accommodation incentives. Unlike static incentives or dynamic schemes driven only by demand indices, the proposed mechanism updates incentive prices according to the deviation between dispatch-side expected response and load-storage-side realized response. The reconstructed net load is then fed back to the dispatch side, forming a closed-loop alternating coordination process. A typical-day case study shows that, compared with Scenario 1, the proposed method reduces the dispatch-side operating cost by 2.89% and net carbon emissions by 20.4%, while increasing the overall renewable energy accommodation rate by approximately 21.5 percentage points. Sensitivity and uncertainty tests further indicate that the main economic, emission-reduction, and renewable-accommodation benefits remain robust under different lower-layer preference weights and moderate demand-response uncertainty.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/en19163760first seen 2026-08-12 04:51:07
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