Research on Capacity Allocation and Optimal Scheduling Method of Virtual Power Plant Considering Independent Energy Storage
独立エネルギー貯蔵を考慮した仮想発電所の容量配分と最適スケジューリング方法に関する研究 (AI 翻訳)
Liyong Sun, Zhe Du, Yangyang Ge, Qingsong Zhao, Libin Zhang, Liang Wang
🤖 gxceed AI 要約
日本語
本研究は、仮想発電所（VPP）の経済性と柔軟性を向上させるため、水素貯蔵システムを従来のバッテリーに代替する手法を提案。アルカリ電解槽の広範囲電力適応モデルやモデル予測制御（MPC）に基づく2段階最適化により、システム全体の運用コストを約35.15%削減、再生可能エネルギー消費率を88.41%に向上させた。また、余熱利用や酸素販売で更なる収益向上を実現している。
English
This paper proposes a Virtual Power Plant (VPP) with hydrogen storage replacing batteries, using an alkaline electrolyzer wide power adaptation model (5%-130%) and MPC-based two-stage dispatch. Results show 35.15% lifecycle cost reduction, 88.41% renewable energy consumption rate, and 28.45% revenue increase under a 2-h rolling cycle, with improved computational efficiency.
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
日本の水素社会実現や再生可能エネルギー導入拡大において、VPPによる需給調整は重要課題。本手法は水素貯蔵とMPCを組み合わせることで、従来の蓄電池に比べコスト・環境負荷を低減し、系統安定化に寄与する可能性がある。
In the global GX context
This research contributes to global efforts on integrating hydrogen storage into VPPs for flexible grid operation. It demonstrates significant cost savings and renewable energy consumption improvements, which are critical for achieving high-renewable grids worldwide.
👥 読者別の含意
🔬研究者:Provides a novel capacity allocation and MPC-based dispatch method for VPPs with hydrogen storage, including wide power adaptation of electrolyzers.
🏢実務担当者:Offers a practical design and scheduling framework for VPPs incorporating hydrogen energy systems, potentially applicable to real-world pilot projects.
📄 Abstract（原文）
To enhance the economic efficiency and flexibility of Virtual Power Plants (VPPs) and address the limitations of traditional battery storage in terms of lifespan, cost, and environmental impact, this paper proposes a capacity configuration and optimized dispatch method for VPPs that incorporates independent energy storage. Initially, a hydrogen energy system centered around hydrogen production electrolysis, hydrogen fuel cells, and hydrogen storage tanks is constructed to replace traditional batteries. An alkaline electrolyzer wide power adaptation model is introduced, expanding its operational power range to 5%–130%, significantly enhancing the electrolyzer's ability to handle fluctuations in renewable energy output. Subsequently, the waste heat generated by the operation of the hydrogen energy system is utilized for combined heat and power supply to the load, and the by‐product oxygen from the electrolyzer is sold as an industrial product, further reducing the system's operational costs. On this basis, combined with the Model Predictive Control (MPC) method, a two‐stage optimized dispatch strategy for day‐ahead declaration and intraday rolling correction is designed. Through dynamic aggregation of distributed energy storage resources and real‐time feedback correction, full renewable energy consumption and economic optimization are achieved. Simulation results show that the proposed method significantly improves the economic efficiency and renewable energy consumption capability of the VPP, with a reduction in lifecycle operational costs by approximately 35.15%, an increase in renewable energy consumption rate to 88.41%, and a 28.45% increase in revenue under a 2‐h rolling cycle for the optimized dispatch strategy, with a notable improvement in computational efficiency.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1002/eng2.70497first seen 2026-05-15 20:39:47
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