配電網投資コストを考慮した電力・炭素最適化経路の研究
Research on Electricity-Carbon Optimization Pathways Considering Distribution Network Investment Costs (原題)
Bo Miao, Wan-Shui Yu, Jing Li, Chao Liu, Cheng-Fu Wang, Ji-Chang Zhang, Bing-Yu Wang, Gui-Bin Zhao, Hao Yang
🤖 gxceed AI 要約
日本語
本論文は、配電網への高浸透分散型再エネと蓄電池の導入を前提に、設備計画と運用スケジューリングの断絶を解消する電炭素統合最適化モデルを提案する。建設コストを日次換算し、日内運用コストと炭素取引コストを統合して平均日次総コストを最小化する。ノード別の単位容量建設コストを導入し、最適立地・容量と低炭素運用戦略を同時に導出する。投資予算と空間制約下での初期投資・運用経済性・炭素削減のトレードオフを実証する。
English
This paper proposes a joint electricity-carbon planning-operation optimization model for distribution networks with high-penetration renewables and storage. It amortizes construction costs to a daily scale and integrates intra-day scheduling and carbon trading costs to minimize average daily total cost. Differentiated nodal investment costs enable optimal siting/sizing and low-carbon scheduling under budget and spatial constraints, demonstrating trade-offs between investment, operational economy, and carbon reduction.
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
日本では配電網の再エネ大量導入と蓄電池投資が喫緊の課題であり、本モデルは電力会社の設備計画・投資判断に示唆を与える。炭素取引コストを組み込む点は、GXリーグやカーボンプライシング議論とも接続しうる。
In the global GX context
Globally, this contributes to the growing literature on integrated planning-operation models for distribution networks under carbon constraints, relevant to TCFD/ISSB disclosure of transition capex and carbon pricing exposure. It offers a quantitative framework for utilities to align grid investment with decarbonization targets.
👥 読者別の含意
🔬研究者:配電網の計画・運用統合と炭素取引を組み合わせた最適化モデルの定式化とケース分析を参考にできる。
🏢実務担当者:配電事業者は再エネ・蓄電池の立地・容量投資と日次運用のトレードオフを定量評価する手法として活用できる。
🏛政策担当者:炭素取引と投資予算制約下での配電網低炭素化政策の設計に、モデルベースの意思決定支援を提供する。
📄 Abstract（原文）
Integration of high-penetration distributed renewable energy and energy storage systems into distribution networks (DNs) is considered an inevitable trend under carbon neutrality goals. Because a disconnect between capacity planning and operational scheduling is observed in conventional research, a joint electric-carbon planning-operation optimization model considering differentiated nodal investment costs is proposed. Temporal barriers between planning and operation are eliminated by equivalently amortizing construction costs of renewable energy sources to a daily scale, which is subsequently integrated with intra-day scheduling costs and carbon trading costs to minimize comprehensive average daily total costs. Physical and economic variations among nodes are quantified via introduction of differentiated unit capacity construction costs. Optimal siting and sizing schemes alongside intra-day low-carbon economic scheduling strategies are determined while respecting nodal capacity limits and total investment budgets. Effective trade-offs between initial investment, long-term operational economy, and carbon emission reduction are demonstrated through case simulations. Consequently, scientific decision support for lowcarbon transition and refined investment of modern DNs is provided under constraints of investment budgets and spatial resources.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1109/icpsasia70813.2026.11692247first seen 2026-09-26 05:05:41 · last seen 2026-09-29 05:14:27
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