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ELSPEC G5DFR PMU, Digital Fault Recorder, Phasor Measurement Unit, and Power Quality Insights using Real-Field Data - IEEE ACCESS

ELSPEC G5DFR PMU, Digital Fault Recorder, Phasor Measurement Unit, and Power Quality Insights using Real-Field Data - IEEE ACCESS

ELSPEC G5DFR PMU is a Multi-Functional Recorder with Digital Fault Recorder, Phasor Measurement Unit, and Power Quality Analyzer, that records at 1024 samples cycle for both voltage and current. The G5PMU has a TVE of just 0.1% and is IEC/IEEE 60255-118-1 and IEEE C37.118-2011 Certified. The ELSPEC G5 DFR PMU features the patented PQZIP algorithm for continuous waveform recording. By leveraging this technology found in G5DFR PMU, G4430, G4500, and PureBB, AI and Machine Learning methods for power quality insights were developed and published in IEEE ACCESS Journal Paper using Real-Field Data from the Australian Power Network.

The authors would like to thank Supreme Technology & Energy Solutions Australia Pty Ltd., the distributors for ELSPEC Ltd. products, who provided the power quality field data recorded with ELSPEC G5PMU Phasor Measurement Unit, G5DFR Multi-Functional Digital Fault Recorder, G4430 Blackbox, G4500 Blackbox, and Pure BlackBox (Pure-BB) Power Quality Analyzers with PQSCADA Sapphire Power Management Software Enterprise Edition used in this research.

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Join Us at the ELSPEC User Group Meeting 2024 in Dallas, Texas

We are excited to announce that we will be attending and presenting at the ELSPEC User Group Meeting 2024. One of the main keynote speakers is Manoj Angus, the Founder & CEO of SmartGRID Technologies & Power Quality Solutions, and CTO of Supreme Technology & Energy Solutions Australia. We have been an ELSPEC distributor in Australia for over 15 years and are excited to share our insights and expertise on Elspec products and solutions with people from across the globe.

See the full program on ELSPEC's official website here.

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Abstract

Widespread deployments of optimally placed real-time power quality (PQ) monitoring tools such as distribution level micro-phasor measurement units (D-PMUs or µPMU), digital fault recorders, and
PQ analyzers are expected to play a critical role in improving the stability and reliability of the smart grid. In this paper, an improved PQ disturbance (PQD) classification method using discrete wavelet transform (DWT) with a cubic multi-class support vector machine (CMSVM) classifier is proposed, which incorporates a decade’s worth of high-quality continuous waveform PQ data from the Australian power network. This research also introduces misclassification cost (MC) and cost-sensitive classification theory into the area of PQD classifiers to build improved and more robust network models for the future.
The method is evaluated using four case studies of synthetic and real-world PQD field data combinations and five application case studies using optimally placed µPMUs. The results indicate similar classification performance for standard PQDs than previous literature, alongside improved MC for complex PQD classes. Comparative analysis with previous literature highlights the importance of using high-quality real PQD field data to improve the fidelity of classifiers to provide better PQ insights as more complex components are added to the distribution network.

Acknowledgements

The authors gratefully acknowledge Supreme Technology & Energy Solutions Australia Pty Ltd, the distributors for ELSPEC Ltd products in Australia, who provided the power quality field data recorded with ELSPEC G5PMU Phasor Measurement Unit, G5DFR Multi-Functional Digital Fault Recorder, G4430 Blackbox, G4500 Blackbox, and Pure BlackBox (Pure-BB) Power Quality Analyzers with PQSCADA Sapphire Power Management Software Enterprise Edition used in this research.

Specifications & Downloads

To download this IEEE ACCESS Research Paper click Request More Information at the top of this page.

To learn more about ELSPEC Products used in this research such as the G5DFR, G5PMU, G4430, G4500, and PureBB, see the Specifications and Downloads Below.