An event-based resilient consensus algorithm for secure and low-carbon operation of cyber-physical smart grids
セキュアで低炭素なサイバーフィジカルスマートグリッド運用のためのイベント駆動型レジリエントコンセンサスアルゴリズム (AI 翻訳)
Bandar Y. Alfaifi, Ammar Alsinai, Hanan Ahmed, Romana Ashfaq, Azmat Ullah Khan Niazi
🤖 gxceed AI 要約
日本語
本論文では、サイバー攻撃（FDIやDoS）下でも低炭素運用を維持する分散型イベント駆動制御アーキテクチャを提案。排出権取引をコスト関数に組み込み、信頼ノード補正と確認応答シグナリングで状態推定と協調を保つ。IEEE 41バスシステムでのシミュレーションにより、攻撃下でも電力バランス、価格安定、排出報告の一貫性、炭素削減を確認。
English
This paper proposes a distributed event-based control architecture for secure and low-carbon smart grid operation under cyberattacks (FDI and DoS). It integrates carbon emission trading into local cost functions, uses trust-node correction and reliable acknowledgment for resilient consensus, and demonstrates on an IEEE 41-bus system that power balance, price stability, and carbon reduction are maintained even under stealthy intrusions.
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GX政策では、カーボンプライシングと電力系統の安定運用の連携が重要。本論文は、送電網レベルで排出権取引を直接組み込んだ分散制御を提案しており、日本の次世代スマートグリッドや地域エネルギー管理システムへの応用可能性を示唆する。
In the global GX context
This work is globally relevant as it bridges carbon pricing mechanisms with cyber-resilient grid control, a critical combination for the energy transition. It offers a novel algorithmic approach that could inform ISSB-aligned disclosures on operational decarbonization and risk management.
👥 読者別の含意
🔬研究者:Provides a distributed algorithm integrating carbon pricing and cyberattack resilience, useful for those working on smart grid optimization and low-carbon operations.
🏢実務担当者:The event-triggered consensus framework could be adapted by grid operators to maintain low-carbon dispatch under communication disruptions.
🏛政策担当者:Demonstrates how carbon pricing can be embedded in real-time grid operations, informing policy on carbon market design and grid security.
📄 Abstract（原文）
In this paper, a distributed event-based control architecture is proposed to improve the security and environmental performance of cyber-physical smart grids. The strategy concurrently responds to coordinated cyberattacks, such as false data injection (FDI) and denial-of-service (DoS), and incorporates carbon emission trading (CET) into the optimization of the energy dispatch. It constructs a novel event-based resilient consensus algorithm (ERCA), which incorporates attack detection and recovery schemes into a distributed decision-making framework. The algorithm employs a trust-node-based correction strategy and reliable acknowledgment signaling to maintain reliable state estimation and coordination under communication interruptions and data falsification. By incorporating carbon-pricing directly into the local cost functions, the framework enables generation units and responsive loads to achieve economically efficient and low-carbon operation without centralized supervision. Convergence of the proposed method is rigorously established under simultaneous FDI and DoS attacks. Simulation studies on an IEEE 41-bus system confirm that the framework maintains power balance, stabilizes electricity prices, ensures consistency in reported emissions, and reduces overall carbon output, even in the presence of stealthy and disruptive cyber intrusions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1038/s41598-026-55442-8first seen 2026-06-04 04:57:16
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