未来の自己修復グリッドを作る(Creating the self-healing grid of the future)

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2024-01-23 サンディア国立研究所(SNL)

◆サンディア国立研究所のエンジニア、マイケル・ロップ氏と彼のチームは、自己修復可能な電力グリッドの概念を具現化するための革新的なアルゴリズムのライブラリを開発。小さなロボットではなく、先進的なアルゴリズムをグリッド・リレーに組み込み、ハリケーンや災害時にも停電を最小限に抑え、自動的に電力を復旧できるシステムを構築。
◆将来の電力グリッドでは、再生可能エネルギー供給が増加し、マイクログリッドが形成され、自己修復可能な機能を持つ。このプロジェクトは、高価で信頼性の低い通信を必要とせず、各デバイスの計測値だけで自己修復を実現し、コストを削減することを目指している。

<関連情報>

自己修復型電力システムとマイクログリッドにおける意図しないループ形成の検出と防止 Detection and Prevention of Unintentional Formation of Loops in Self-Healing Power Systems and Microgrids

Michael E. Ropp; Matthew J. Reno; Milan Biswal
IEEE Transactions on Power Delivery  Published:15 March 2023
DOI:https://doi.org/10.1109/TPWRD.2023.3254300

Abstract

Self-healing or self-assembling power systems that rely on local measurements for decision making can provide significant resilience benefits, but they also must include safeguards that prevent the system from self-assembling into an undesirable configuration. One potential undesirable configuration would be the formation of closed loops for which the system was not designed, a situation that can arise any time that two intentional-island systems can be connected in more than one place, e.g., if tie-line breakers are included in the self-assembling system. This paper discusses the unintentional loop formation problem in self-assembling systems and presents a method for mitigating it. This method involves calculating the correlation or the mean absolute error (MAE) between the two local frequency measurements made on either side of a line relay. The correlation and MAE between these frequencies changes significantly between the loop and non-loop cases, and this difference can be used for loop detection. This article presents and explains the method in detail, presents evidence that the method’s underlying assumptions are valid, and demonstrates in PSCAD two implementations of the method. The paper concludes with a discussion of the strengths and weaknesses of the proposed method.

 

 

 

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