HYBRID WLS-KF APPROACH FOR REAL-TIME STATE ESTIMATION IN AUTOMATED DISTRIBUTION GRIDS
Aim/Background: The increasing complexity of modern distribution networks, particularly with the integration of Distributed Energy Resources (DERs), presents significant challenges to traditional state estimation techniques. These networks require accurate and real-time monitoring to optimize operat...
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| Format: | Article |
| Language: | English |
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Eldaghayes Publisher
2025-01-01
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| Series: | Journal of Engineering Research and Reviews |
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| Online Access: | http://www.ejmanager.com/fulltextpdf.php?mno=244657 |
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| author | Abdulrafiu Yusuf Olalekan Ogunbiyi Lambe Mutalub Adesina Bashiru Olalekan Ariyo |
| author_facet | Abdulrafiu Yusuf Olalekan Ogunbiyi Lambe Mutalub Adesina Bashiru Olalekan Ariyo |
| author_sort | Abdulrafiu Yusuf |
| collection | DOAJ |
| description | Aim/Background:
The increasing complexity of modern distribution networks, particularly with the integration of Distributed Energy Resources (DERs), presents significant challenges to traditional state estimation techniques. These networks require accurate and real-time monitoring to optimize operations, improve fault detection, and enhance overall system reliability. This research aims to develop a hybrid state estimation model that combines Weighted Least Squares (WLS) and Kalman Filter (KF) techniques to improve state estimation accuracy, robustness, and reliability in automated distribution systems. The primary objective is to create a method that can address the challenges posed by DERs and dynamic load conditions in distribution grids.
Methods:
The methodology includes the integration of real-time data from Supervisory Control and Data Acquisition (SCADA) systems, smart meters, and Phasor Measurement Units (PMUs), followed by the application of WLS, KF, and a hybrid approach to estimate voltage magnitudes and phase angles. The performance of each method was evaluated in terms of estimation accuracy, computational efficiency, and robustness against bad data.
Results:
The results revealed that the hybrid model outperformed both the WLS and KF methods, improving estimation accuracy by 15% compared to WLS and 7% compared to KF, particularly in systems with high DER penetration and fluctuating load. Additionally, the hybrid model demonstrated superior bad data detection and filtering.
Conclusion:
This study provides utility providers and policymakers with a more accurate and reliable method for real-time monitoring and fault detection in distribution networks. Future research should focus on reducing computational complexity and incorporating machine learning techniques to further enhance state estimation accuracy. [J Eng Res Rev 2025; 2(2.000): 92-104] |
| format | Article |
| id | doaj-art-c2bdab57948f44c8a8d762110d76b0fc |
| institution | Kabale University |
| issn | 3041-4822 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Eldaghayes Publisher |
| record_format | Article |
| series | Journal of Engineering Research and Reviews |
| spelling | doaj-art-c2bdab57948f44c8a8d762110d76b0fc2025-08-20T11:16:39ZengEldaghayes PublisherJournal of Engineering Research and Reviews3041-48222025-01-01229210410.5455/JERR.20250225075131244657HYBRID WLS-KF APPROACH FOR REAL-TIME STATE ESTIMATION IN AUTOMATED DISTRIBUTION GRIDSAbdulrafiu Yusuf0Olalekan Ogunbiyi1Lambe Mutalub Adesina2Bashiru Olalekan Ariyo3Department of Electrical and Computer Engineering, Kwara State University, Malete.Department of Electrical and Computer Engineering, Kwara State University, Malete.Department of Electrical and Computer Engineering, Kwara State University,Kwara State University, Malete.Electrical and Electronics Engineering Department, Faculty of Engineering and Technology, University of Ilorin.Aim/Background: The increasing complexity of modern distribution networks, particularly with the integration of Distributed Energy Resources (DERs), presents significant challenges to traditional state estimation techniques. These networks require accurate and real-time monitoring to optimize operations, improve fault detection, and enhance overall system reliability. This research aims to develop a hybrid state estimation model that combines Weighted Least Squares (WLS) and Kalman Filter (KF) techniques to improve state estimation accuracy, robustness, and reliability in automated distribution systems. The primary objective is to create a method that can address the challenges posed by DERs and dynamic load conditions in distribution grids. Methods: The methodology includes the integration of real-time data from Supervisory Control and Data Acquisition (SCADA) systems, smart meters, and Phasor Measurement Units (PMUs), followed by the application of WLS, KF, and a hybrid approach to estimate voltage magnitudes and phase angles. The performance of each method was evaluated in terms of estimation accuracy, computational efficiency, and robustness against bad data. Results: The results revealed that the hybrid model outperformed both the WLS and KF methods, improving estimation accuracy by 15% compared to WLS and 7% compared to KF, particularly in systems with high DER penetration and fluctuating load. Additionally, the hybrid model demonstrated superior bad data detection and filtering. Conclusion: This study provides utility providers and policymakers with a more accurate and reliable method for real-time monitoring and fault detection in distribution networks. Future research should focus on reducing computational complexity and incorporating machine learning techniques to further enhance state estimation accuracy. [J Eng Res Rev 2025; 2(2.000): 92-104]http://www.ejmanager.com/fulltextpdf.php?mno=244657scada; state estimation; distribution networks; phasor measurement units (pmus); hybrid state estimation; bad data detection |
| spellingShingle | Abdulrafiu Yusuf Olalekan Ogunbiyi Lambe Mutalub Adesina Bashiru Olalekan Ariyo HYBRID WLS-KF APPROACH FOR REAL-TIME STATE ESTIMATION IN AUTOMATED DISTRIBUTION GRIDS Journal of Engineering Research and Reviews scada; state estimation; distribution networks; phasor measurement units (pmus); hybrid state estimation; bad data detection |
| title | HYBRID WLS-KF APPROACH FOR REAL-TIME STATE ESTIMATION IN AUTOMATED DISTRIBUTION GRIDS |
| title_full | HYBRID WLS-KF APPROACH FOR REAL-TIME STATE ESTIMATION IN AUTOMATED DISTRIBUTION GRIDS |
| title_fullStr | HYBRID WLS-KF APPROACH FOR REAL-TIME STATE ESTIMATION IN AUTOMATED DISTRIBUTION GRIDS |
| title_full_unstemmed | HYBRID WLS-KF APPROACH FOR REAL-TIME STATE ESTIMATION IN AUTOMATED DISTRIBUTION GRIDS |
| title_short | HYBRID WLS-KF APPROACH FOR REAL-TIME STATE ESTIMATION IN AUTOMATED DISTRIBUTION GRIDS |
| title_sort | hybrid wls kf approach for real time state estimation in automated distribution grids |
| topic | scada; state estimation; distribution networks; phasor measurement units (pmus); hybrid state estimation; bad data detection |
| url | http://www.ejmanager.com/fulltextpdf.php?mno=244657 |
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