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農村配電網における農業・PV・蓄電池システムの多目的グラフ分割に基づく二段階計画

Multi-objective graph partitioning-based two-stage planning of agriculture-PV-storage systems in rural distribution networks (原題)

Xu R, Zhao C, Wang Y

Research Squareプレプリント2026-09-21#再生可能エネルギーOrigin: CN経営インパクト: コスト削減対象セクター: power
DOI: 10.21203/rs.3.rs-10611679/v1
原典: https://doi.org/10.21203/rs.3.rs-10611679/v1

🤖 gxceed AI 要約

日本語

高浸透PVの農村配電網を対象に、多目的グラフ分割でVPP化し、K-meansクラスタリングと容量・運用協調最適化を組み合わせた二段階計画手法を提案。中国北部の事例で正味現在価値が87.7%向上、PV自家消費率90.2%、電圧違反69.4%削減を達成し、区画化・立地・容量・運用の協調が経済性と再エネ受容性を高めることを示した。

English

This paper proposes a two-stage planning method for agriculture-PV-storage resources in rural distribution networks with high PV penetration, using multi-objective graph partitioning to form VPPs and K-means plus capacity-operation co-optimization. A North China case study shows an 87.7% NPV increase, 90.2% PV self-consumption, and 69.4% fewer voltage violations, demonstrating that coordinated partitioning, siting, sizing, and operation improve economics and 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

日本では農村部の再エネ導入と配電網制約、VPP・アグリゲーションの実装が政策課題であり、地域資源の協調計画手法は参考になる。ただしSSBJ・有報・TCFDなど開示制度との直接接続はなく、実務では系統運用・再エネ調達の検討材料として位置づけられる。

In the global GX context

Globally, this contributes to the energy-transition and grid-integration literature relevant to rural decarbonization and distributed PV accommodation, but it does not directly engage TCFD/ISSB/CSRD disclosure frameworks. It is most useful for practitioners and policymakers working on VPP design, grid planning, and renewable integration rather than corporate climate disclosure.

👥 読者別の含意

🔬研究者:配電網計画・VPP形成・再エネ統合の最適化手法に関心のある研究者に有用。

🏢実務担当者:農村部や分散型PVを持つ事業者が、系統制約下でのPV・蓄電池の容量と運用を検討する際の参考になる。

🏛政策担当者:農村配電網の再エネ受容と電圧品質改善に向けた計画・アグリゲーション政策の設計に示唆を与える。

📄 Abstract（原文）

<title>Abstract</title> <p>This paper proposes a two-stage cooperative planning method for agriculture-photovoltaic-storage resources in rural distribution networks with high-penetration distributed photovoltaics (PV). In the first stage, the distribution network is partitioned into virtual power plants (VPPs) by a multi-objective graph partitioning model that jointly considers electrical distance, load similarity, geographical compactness, and voltage security. In the second stage, load devices inside each VPP are clustered by multi-feature K-means, and a capacity-operation co-optimization model is established to maximize life-cycle net present value while improving voltage quality and local PV consumption. After weighted normalization and standard linearization of the discrete planning decisions, the resulting optimization subproblems are solved by a branch-and-bound procedure. A case study on a rural distribution network in North China shows that the proposed scheme increases net present value by 87.7% and 20.2% compared with unpartitioned allocation and partitioned uniform allocation, respectively. It also raises the PV self-consumption rate to 90.2%, reduces the network loss rate to 4.1%, lowers voltage deviation by 51.0%, and decreases annual voltage-limit violations by 69.4%. The results demonstrate that coordinated partitioning, siting, sizing, and operation can improve economic performance, renewable-energy accommodation, and operational robustness.</p>

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