Sliding innovation filter for micorgrid application

Mohammad AlShabi; Khaled Obaideen; Amr El Nady; Andrew Gadsden; Talal Bonny

doi:10.1117/12.2664078

14 June 2023 Sliding innovation filter for micorgrid application

Mohammad AlShabi, Khaled Obaideen, Amr El Nady, Andrew Gadsden, Talal Bonny

Proceedings Volume 12547, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII; 125470B (2023) https://doi.org/10.1117/12.2664078
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Currently, microgrids are frequently used and various control algorithms have been applied to improve their performance in both grid-connected and islanded modes. However, research has shown that incorporating a filtering technique into the controller can lead to even better performance. As a result, a simple controller with a filter can perform just as well as a complex controller that operates alone. This study focuses on the performance of a microgrid using a new filter called the sliding innovation filter, which is known for its robustness and stability. The filter is an excellent option for estimating performance under various conditions, such as load and injected powers. To demonstrate the filter's advantages, modeling uncertainties are introduced into the system while the filter is estimating states. The filter's performance is evaluated using a MATLAB© simulation environment.

Conference Presentation

Citation Download Citation

Mohammad AlShabi, Khaled Obaideen, Amr El Nady, Andrew Gadsden, and Talal Bonny "Sliding innovation filter for micorgrid application", Proc. SPIE 12547, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXII, 125470B (14 June 2023); https://doi.org/10.1117/12.2664078

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