An Adaptive Robust Square Root Unscented Kalman Filter for Forecasting Aided State Estimation in Power Systems

In this article, an adaptive robust square-root unscented Kalman filter (ARSQUKF) has been suggested for performing the forecasting aided state estimation (FASE) in power systems. Initially, square root unscented Kalman filter (SQUKF) has been implemented to perform power systems FASE. However, due...

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主要な著者:	Shubhrajyoti Kundu, Ark Dev, Mehebub Alam, Biman Kumar Saha Roy, Siddhartha Sankar Thakur, Sachin Sharma
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2025-01-01
シリーズ:	IEEE Access
主題:	ARSQUKF M-estimation normalized innovation asymmetry index bad data sudden load change
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11301710/
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