Securing the Operation of Distribution Networks under High Renewable Energy Penetration: A Systematic Review
高再生可能エネルギー導入下の配電網運用の確保：系統的レビュー (AI 翻訳)
Dharmasiri T, Herath N, Ekanayake JB
🤖 gxceed AI 要約
日本語
本稿は、高再生可能エネルギー導入下における配電網の運用セキュリティ課題と緩和策を系統的にレビュー。AI駆動制御、GFM/GFLコンバータ、ネットワーク強化装置の3つの解決策を統合した予防的運用フレームワークを提案。最も顕著なギャップは、AI制御の現場検証不足とソフトオープンポイントの計画・運用研究の少なさ。
English
This systematic review examines operational security challenges and mitigation pathways for distribution networks under high renewable penetration. It categorizes challenges into voltage, protection, asset, and converter-interaction issues. Mitigation is synthesized into AI-driven control, grid-forming/ grid-following converters, and network reinforcement. An integrated preventive operating framework leveraging a predictive digital twin is proposed to guide distribution system operators.
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
日本では再エネ大量導入に伴い配電網の電圧維持や保護協調が課題となっており、本レビューの知見は系統運用者にとって重要。特に、デジタルツインを用いた統合管理フレームワークは日本のスマートグリッド政策と親和性が高い。
In the global GX context
Globally, distribution system operators face growing security threats from inverter-based resources. This review synthesizes international experience and proposes a digital-twin-based framework applicable to regions like the EU and US, where renewable penetration is accelerating. The identified gaps in field validation of AI and underrepresentation of soft open points are relevant for research direction.
👥 読者別の含意
🔬研究者:Identifies research gaps: AI control needs field validation, GFL/GFM deployment strategies at distribution level are scarce, and soft open points are understudied in coordinated operation.
🏢実務担当者:Distribution system operators can use the proposed preventive operating framework integrating AI, advanced converters, and reinforcement devices to enhance network security during energy transition.
🏛政策担当者:Policymakers should support demonstration projects for AI-driven grid control and facilitate deployment of grid-forming converters and soft open points to ensure reliable distribution networks.
📄 Abstract（原文）
The displacement of synchronous generators by inverter-based resources is eroding the operational security of distribution networks, threatening voltage, thermal, and protection limits as renewable penetration rises. This paper presents a systematic review of the operational security challenges and mitigation pathways for distribution networks under high renewable energy penetration, restricted to the normal and short-term abnormal operating states in which the network remains intact but its security margins are progressively eroded. Following a structured search and screening protocol, 107 peer-reviewed studies are analyzed. The challenges are organized into four categories: voltage security, protection and fault management, network and asset security, and converter and control interactions. The mitigation literature is synthesized across three solution strands: artificial-intelligence-driven control, the deployment of grid-following (GFL) and grid-forming (GFM) converters, and the placement and coordinated operation of network reinforcement devices. The review finds that AI-driven control has matured for voltage regulation but lacks field validation, that distribution-level GFL/GFM deployment strategies remain scarce, and that soft open points are markedly under-represented in both planning and coordinated-operation studies. Building on these findings, an integrated preventive operating framework that unites the three strands through a predictive digital twin is proposed to guide distribution system operators in securing network operation throughout the energy transition.
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.22541/authorea.15004835/v1first seen 2026-06-20 04:50:46 · last seen 2026-06-30 04:55:16
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。