SVM-Based Synchronized Fault Detection for 100% Renewable Microgrids

Chakraborty, Soham; Chen, Yue; Zamzam, Ahmed; Wang, Jing

doi:10.1109/IECON55916.2024.10905850

SVM-Based Synchronized Fault Detection for 100% Renewable Microgrids

Conference · 10 March 2025

DOI:https://doi.org/10.1109/IECON55916.2024.10905850· OSTI ID:2558969

Chakraborty, Soham; Chen, Yue; Zamzam, Ahmed; Wang, Jing

Traditional protection schemes face significant challenges when applied to microgrids with high penetrations of renewables with inverter-based resources (IBRs). The proliferation of advanced sensing and communication technologies has generated copious data, offering an opportunity to overcome these limitations using data-driven machine learning approaches. This work proposes a novel approach based on a support vector machine (SVM) for detecting faults within a 100% renewable microgrid. The approach encompasses a systematic offline training stage for the development of a linear SVM-based fault detection algorithm. This process covers offline data collection from the microgrid under study, the extraction of features such as positive- and negative-sequence components and the total harmonic distortion of the voltage and current measurements of the relays, and the design of the linear SVM-based classifier. During the online implementation, however, different classifiers can exhibit asynchronicity in detecting the fault inception at different subcycle-to-cycle period-level delays. To circumvent this asynchronicity issue, a separate algorithm is developed for each relay to estimate the fault inception time as close to the real fault time. The performance of the proposed SVM-based synchronized fault detection method is evaluated using online time-domain simulation studies on a microgrid test system. The results corroborate the reliability of the fault detection scheme when tested under various fault cases (fault types, locations, and impedances) and non-fault cases during both grid-tied and islanded operation modes.

🛈

OSTI does not have a digital full text copy available. For more information, please see document availability, search WorldCat, or search Google Scholar.

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE National Renewable Energy Laboratory (NREL), Laboratory Directed Research and Development (LDRD) Program

DOE Contract Number:: AC36-08GO28308;

OSTI ID:: 2558969

Report Number(s):: NREL/CP-5D00-94333; MainId:96115; UUID:7c9e61dd-3c0b-4edf-968b-c4a799b351c4; MainAdminId:76644

Conference Information:: Presented at IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, 3-6 November 2024, Chicago, Illinois; NREL/CP-5D00-87961

Country of Publication:: United States

Language:: English

References (25)

Communication-less protection scheme for AC microgrids using hybrid tripping characteristic Chakraborty, Soham; Das, Sarasij Electric Power Systems Research, Vol. 187 https://doi.org/10.1016/j.epsr.2020.106453	journal	October 2020
Fault isolation in distributed generation connected distribution networks Dewadasa, M.; Ghosh, A.; Ledwich, G. IET Generation, Transmission & Distribution, Vol. 5, Issue 10 https://doi.org/10.1049/iet-gtd.2010.0735	journal	October 2011
Detection and classification of micro‐grid faults based on HHT and machine learning techniques Mishra, Manohar; Rout, Pravat Kumar IET Generation, Transmission & Distribution, Vol. 12, Issue 2 https://doi.org/10.1049/iet-gtd.2017.0502	journal	December 2017
Adaptive protection combined with machine learning for microgrids Lin, Hengwei; Sun, Kai; Tan, Zheng‐Hua IET Generation, Transmission & Distribution, Vol. 13, Issue 6 https://doi.org/10.1049/iet-gtd.2018.6230	journal	March 2019
Banshee distribution network benchmark and prototyping platform for hardware‐in‐the‐loop integration of microgrid and device controllers Salcedo, Reynaldo; Corbett, Edward; Smith, Christopher The Journal of Engineering, Vol. 2019, Issue 8 https://doi.org/10.1049/joe.2018.5174	journal	April 2019
Fault classification and location identification in a smart DN using ANN and AMI with real‐time data Usman, Muhammad Usama; Ospina, Juan; Faruque, Md. Omar The Journal of Engineering, Vol. 2020, Issue 1 https://doi.org/10.1049/joe.2019.0896	journal	December 2019
Zonal Machine Learning-Based Protection for Distribution Systems Poudel, Binod P.; Bidram, Ali; Reno, Matthew J. IEEE Access, Vol. 10 https://doi.org/10.1109/ACCESS.2022.3184865	journal	January 2022
A Kalman Filter-Based Protection Strategy for Microgrids Mumtaz, Faisal; Imran, Kashif; Bukhari, Syed Basit Ali IEEE Access, Vol. 10 https://doi.org/10.1109/ACCESS.2022.3190078	journal	January 2022
AC Microgrid Protection Schemes: A Comprehensive Review Hamanah, Waleed M.; Hossain, Md Ismail; Shafiullah, Md IEEE Access, Vol. 11 https://doi.org/10.1109/ACCESS.2023.3298306	journal	January 2023
Hierarchical Data-Driven Protection for Microgrids with 100% Renewables Zamzam, Ahmed S.; Wang, Jing 2023 IEEE Energy Conversion Congress and Exposition (ECCE) https://doi.org/10.1109/ECCE53617.2023.10362519	conference	October 2023
A reliable fault detection and classification scheme based on wavelet transform and ensemble of SVM for microgrid protection Manohar, Murli; Koley, Ebha; Ghosh, Subhojit 2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT) https://doi.org/10.1109/ICATCCT.2017.8389101	conference	December 2017
SVM based protection scheme for microgrid Manohar, Murli; Koley, Ebha 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT) https://doi.org/10.1109/ICICICT1.2017.8342601	conference	July 2017
Implementation of Support-Vector-Machine-Based Relay Coordination Scheme for Distribution System With Renewables Vijayachandran, Vinod V.; Shenoy, U. Jayachandra IEEE Journal of Emerging and Selected Topics in Industrial Electronics, Vol. 2, Issue 3 https://doi.org/10.1109/JESTIE.2020.3014875	journal	July 2021
Microgrid Protection Hooshyar, Ali; Iravani, Reza Proceedings of the IEEE, Vol. 105, Issue 7 https://doi.org/10.1109/JPROC.2017.2669342	journal	July 2017
Data-Mining Model Based Intelligent Differential Microgrid Protection Scheme Kar, Susmita; Samantaray, S. R.; Zadeh, M. Dadash IEEE Systems Journal, Vol. 11, Issue 2 https://doi.org/10.1109/JSYST.2014.2380432	journal	June 2017
Simulation of 100% Inverter-Based Resource Grids With Positive Sequence Modeling Ramasubramanian, Deepak; Pourbeik, Pouyan; Farantatos, Evangelos IEEE Electrification Magazine, Vol. 9, Issue 2 https://doi.org/10.1109/MELE.2021.3070938	journal	June 2021
Microgrid Protection Against Internal Faults: Challenges in Islanded and Interconnected Operation Lagos, Dimitris; Papaspiliotopoulos, Vasileios; Korres, George IEEE Power and Energy Magazine, Vol. 19, Issue 3 https://doi.org/10.1109/MPE.2021.3057950	journal	May 2021
Circuit Topology Estimation in an Adaptive Protection System Poudel, Binod; Garcia, Daniel Ruiz; Bidram, Ali 2020 52nd North American Power Symposium (NAPS) https://doi.org/10.1109/NAPS50074.2021.9449636	conference	April 2021
Decentralized Microgrid Protection Through Relative Fault Direction Classification Chen, Yue; Zamzam, Ahmed; Chakraborty, Soham 2024 IEEE Power & Energy Society General Meeting (PESGM) https://doi.org/10.1109/PESGM51994.2024.10688841	conference	July 2024
Fault analysis in solar PV arrays under: Low irradiance conditions and reverse connections Zhao, Ye; Lehman, Brad; de Palma, Jean-Francois 2011 37th IEEE Photovoltaic Specialists Conference https://doi.org/10.1109/PVSC.2011.6186346	conference	June 2011
Microgrid Protection Using Communication-Assisted Digital Relays Sortomme, Eric; Venkata, S. S.; Mitra, Joydeep IEEE Transactions on Power Delivery, Vol. 25, Issue 4 https://doi.org/10.1109/TPWRD.2009.2035810	journal	October 2010
A Protection Strategy and Microprocessor-Based Relay for Low-Voltage Microgrids Zamani, M. Amin; Sidhu, Tarlochan S.; Yazdani, Amirnaser IEEE Transactions on Power Delivery, Vol. 26, Issue 3 https://doi.org/10.1109/TPWRD.2011.2120628	journal	July 2011
A Combined Wavelet and Data-Mining Based Intelligent Protection Scheme for Microgrid Mishra, Debi Prasad; Samantaray, Subhransu Ranjan; Joos, Geza IEEE Transactions on Smart Grid, Vol. 7, Issue 5 https://doi.org/10.1109/TSG.2015.2487501	journal	September 2016
Understanding Fault Characteristics of Inverter-Based Distributed Energy Resources Keller, J.; Kroposki, B. https://doi.org/10.2172/971441	report	January 2010
Machine Learning Based Protection Scheme for Low Voltage AC Microgrids Uzair, Muhammad; Eskandari, Mohsen; Li, Li Energies, Vol. 15, Issue 24 https://doi.org/10.3390/en15249397	journal	December 2022

Similar Records

SVM-Based Synchronized Fault Detection for 100% Renewable Microgrids: Preprint

Conference · 2024 · OSTI ID:2477180

Support Vector Machine (SVM)-Based Synchronized Fault Detection for 100% Renewable Microgrids

Conference · 2025 · OSTI ID:2500367

Decentralized Microgrid Protection Through Relative Fault Direction Classification: Preprint

Conference · 2024 · OSTI ID:2447822

Related Subjects

100% microgrid
fault isolation
grid-following inverters
grid-forming inverters
power system protection
POWER TRANSMISSION AND DISTRIBUTION

SVM-Based Synchronized Fault Detection for 100% Renewable Microgrids

Citation Formats

References (25)

Similar Records

Related Subjects