Low-Carbon Economic Dispatch of Wind-Solar-Hydrogen Multienergy Supply Systems in Energy and Reserve Markets
エネルギー・予備力市場における風力・太陽光・水素マルチエネルギー供給システムの低炭素経済的運用 (AI 翻訳)
Siyuan Liu, Rongrong Zhai, Li J, Yingxin Zhao, L X Liu
🤖 gxceed AI 要約
日本語
風力・太陽光・水素を統合したマルチエネルギー供給仮想発電所（WSH-MESVPP）に対し、エネルギー市場と予備力サービス市場の同時最適化を実現する低炭素経済的スケジューリング枠組みを提案。年間シミュレーションにより、経済性9.32%向上、CO2排出4.85%削減、再生可能エネルギー利用率4.9%向上を実証。予備力調達における重要設備の特定と改善策を提示。
English
This paper proposes a low-carbon economic scheduling framework for a wind-solar-hydrogen integrated multienergy supply virtual power plant (WSH-MESVPP) that participates in both energy and reserve markets. Case studies show a 9.32% improvement in economic performance, 4.85% reduction in carbon emissions, and 4.9% increase in renewable energy utilization. Key devices for reserve scheduling are identified and recommendations provided.
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
日本でも水素サプライチェーンやVPP実証が進む中、予備力市場を含めた統合最適化の知見は、今後の制度設計や事業者戦略に示唆を与える。とりわけ、調達コストと環境性の両立を定量的に示した点は、日本の電気事業者にとって関心が高い。
In the global GX context
As many regions integrate reserve markets with renewable energy growth, this paper provides a quantitative framework for joint optimization of energy and reserves in multienergy VPPs. The findings on hydrogen's role in flexible reserve provision and carbon reduction contribute to global discussions on low-carbon power market design.
👥 読者別の含意
🔬研究者:The joint optimization method and reserve trading model offer a novel approach for multienergy VPP scheduling that can be extended to other configurations.
🏢実務担当者:The equipment-level recommendations and quantified benefits (9.32% cost reduction, 4.85% carbon reduction) provide actionable insights for VPP operators and renewable integrators.
🏛政策担当者:The analysis of reserve market participation and carbon reduction trade-offs informs market design for integrating hydrogen storage and VPPs into ancillary service markets.
📄 Abstract（原文）
The increasing integration of renewable energy (RE) introduces significant uncertainty, necessitating additional reserve capacity to balance generation fluctuations. Virtual power plants (VPPs) aggregate distributed resources to optimize joint energy and reserve scheduling, enhancing participation in electricity markets for profit. Existing studies often focus on energy or reserve scheduling separately, neglecting the joint optimization of energy and reserve markets alongside comprehensive economic and environmental evaluations of reserve trading models. This study introduces a low-carbon economic scheduling framework for a wind-solar-hydrogen integrated multienergy supply virtual power plant (WSH-MESVPP), participating in both energy and reserve service markets. This study develops a model to evaluate diverse reserve trading patterns and provide equipment-level optimization strategies. In annual simulations, case studies demonstrate that the proposed method improves the WSH-MESVPP’s economic performance by 9.32%, reduces carbon emissions by 4.85%, and increases renewable energy utilization by 4.9%. By identifying critical devices for upward/downward reserve scheduling and offering actionable recommendations, this research advances the coordinated management of multienergy systems in low-carbon power markets.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1061/jleed9.eyeng-6623first seen 2026-06-27 04:51:20
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