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Cited by 31Power Quality and HarmonicsAdvanced Electrical Measurement TechniquesMultilevel Inverters and Converters

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Design of a Measuring System for Electricity Quality Monitoring within the SMART Street Lighting Test Polygon: Pilot Study on Adaptive Current Control Strategy for Three-Phase Shunt Active Power Filters

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Martinek, Radek, Bilik, Petr, Baros, Jan, Brablik, Jindrich, Kahankova, Radana, Jaros, Rene, Danys, Lukas, Rzidky, Jaroslav, Wen, He·2020·Sensors
DOI 10.3390/s20061718PMC PMC7146521
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Abstract

This study focuses on the design of a measuring system for monitoring the power quality within the SMART street lighting test polygon at university campuses with relation to testing an adaptive current control strategy for three-phase shunt active power filters. Unlike conventional street lighting, SMART elements are powered 24/7. Due to the electronic character of the power part of such mass appliances, there are increased problems with the power quality of the electric energy. Compared to the current concept of street lighting, there is a significant increase in the content of higher current harmonic components, which cause several problems in the distribution system. The test polygon contains 16 luminaires made by various manufacturers and mounted with various SMART components. Using the polygon control and monitoring system, dynamic load scenarios were selected. These scenarios tested the possibilities of different adaptive current control strategies for three-phase shunt active power filters to improve the power quality of electricity. This study focuses on three adaptive algorithms that respond to dynamic changes of current harmonics level in real-time. The possibility of active filter control was tested using FPGA, mainly due to the low latency of the filter control part.

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Figures

Figure 1 Schematic diagram of current estimation methods.
Figure 1 Schematic diagram of current estimation methods.CC BY · PubMed Central
Figure 2 Clarke transformation coordinates.
Figure 2 Clarke transformation coordinates.CC BY · PubMed Central
Figure 3 Block diagram of the notch adaptive filter.
Figure 3 Block diagram of the notch adaptive filter.CC BY · PubMed Central
Figure 4 Block diagram of the system for compensation of higher harmonic components using Shunt Active Power Filter (SAPF).
Figure 4 Block diagram of the system for compensation of higher harmonic components using Shunt Active Power Filter (SAPF).CC BY · PubMed Central
Figure 5 SMART car park plan.
Figure 5 SMART car park plan.CC BY · PubMed Central
Figure 6 A simplified idea diagram of the SMART car park components deployed.
Figure 6 A simplified idea diagram of the SMART car park components deployed.CC BY · PubMed Central
Figure 7 Photographs of the testing polygon.
Figure 7 Photographs of the testing polygon.CC BY · PubMed Central
Figure 8 Measurement system wiring diagram.
Figure 8 Measurement system wiring diagram.CC BY · PubMed Central
Figure 9 Power quality (PQ) system components: (a) NI cDAQ 9185 4-slot chassis, (b) NI-9205 data acquisition module, (c) voltage converter, and (d) current converter
Figure 9 Power quality (PQ) system components: (a) NI cDAQ 9185 4-slot chassis, (b) NI-9205 data acquisition module, (c) voltage converter, and (d) current converterCC BY · PubMed Central
Figure 10 Front panel of control application of testing polygon.
Figure 10 Front panel of control application of testing polygon.CC BY · PubMed Central
Figure 11 Diagram of possible MQTT network.
Figure 11 Diagram of possible MQTT network.CC BY · PubMed Central
Figure 12 Algorithm for experiment execution.
Figure 12 Algorithm for experiment execution.CC BY · PubMed Central
Figure 13 Simplified schematic diagram of the conducted experiment with simulated inverter.
Figure 13 Simplified schematic diagram of the conducted experiment with simulated inverter.CC BY · PubMed Central
Figure 14 Idle run of test polygon; current waveforms after applying the least mean squares (LMS) algorithm.
Figure 14 Idle run of test polygon; current waveforms after applying the least mean squares (LMS) algorithm.CC BY · PubMed Central
Figure 15 Idle run of test polygon; current waveforms after applying the recursive least squares (RLS) algorithm.
Figure 15 Idle run of test polygon; current waveforms after applying the recursive least squares (RLS) algorithm.CC BY · PubMed Central
Figure 16 Switched on test polygon; current waveforms after applying the LMS algorithm.
Figure 16 Switched on test polygon; current waveforms after applying the LMS algorithm.CC BY · PubMed Central
Figure 17 Switched on test polygon; current waveforms after applying the RLS algorithm.
Figure 17 Switched on test polygon; current waveforms after applying the RLS algorithm.CC BY · PubMed Central
Figure 18 Comparison of various types of luminaries.
Figure 18 Comparison of various types of luminaries.CC BY · PubMed Central
Figure 19 Diagram of optimization experiment of LMS algorithm setting.
Figure 19 Diagram of optimization experiment of LMS algorithm setting.CC BY · PubMed Central
Figure 20 Schematic diagram of realized laboratory experiment with AE-Techron 7224 amplifiers used as inverters.
Figure 20 Schematic diagram of realized laboratory experiment with AE-Techron 7224 amplifiers used as inverters.CC BY · PubMed Central
Figure 21 Realized laboratory experiment with AE-Techron 7224 amplifiers used as inverters.
Figure 21 Realized laboratory experiment with AE-Techron 7224 amplifiers used as inverters.CC BY · PubMed Central
Figure 22 Diagram of the conducted experiment.
Figure 22 Diagram of the conducted experiment.CC BY · PubMed Central
Figure 23 Current waveform envelopes of the test polygon. (a) L1—phase 1, (b) L2—phase 2, and (c) L3—phase 3.
Figure 23 Current waveform envelopes of the test polygon. (a) L1—phase 1, (b) L2—phase 2, and (c) L3—phase 3.CC BY · PubMed Central
Figure 24 Total Harmonic Distortion (THD) values at intervals of 200 ms.
Figure 24 Total Harmonic Distortion (THD) values at intervals of 200 ms.CC BY · PubMed Central
Figure 25 Signal-to-Noise Ratio (SNR) values at intervals of 200 ms.
Figure 25 Signal-to-Noise Ratio (SNR) values at intervals of 200 ms.CC BY · PubMed Central
Figure 26 Idle run of test polygon; current waveforms before filtration.
Figure 26 Idle run of test polygon; current waveforms before filtration.CC BY · PubMed Central
Figure 27 Idle run of test polygon; current spectra before and after application of the adaptive LMS and RLS algorithms.
Figure 27 Idle run of test polygon; current spectra before and after application of the adaptive LMS and RLS algorithms.CC BY · PubMed Central
Figure 28 Switched on test polygon; current waveforms before filtration.
Figure 28 Switched on test polygon; current waveforms before filtration.CC BY · PubMed Central
Figure 29 Switched on test polygon; current spectra before and after application of the adaptive LMS and RLS algorithms.
Figure 29 Switched on test polygon; current spectra before and after application of the adaptive LMS and RLS algorithms.CC BY · PubMed Central
Figure 30 Current waveforms of individual phases before filtration.
Figure 30 Current waveforms of individual phases before filtration.CC BY · PubMed Central
Figure 31 Field Programmable Gate Array (FPGA) Experiment; current spectra before and after application of the adaptive LMS Notch algorithm.
Figure 31 Field Programmable Gate Array (FPGA) Experiment; current spectra before and after application of the adaptive LMS Notch algorithm.CC BY · PubMed Central
Figure 32 An example of the filtration for all phases for the value μ=0.001, the resulting THDs for the depicted currents correspond to the highlighted column in Table 4. The waveforms of the currents show that the adaptation time is between 40 ms and 50 ms.
Figure 32 An example of the filtration for all phases for the value μ=0.001, the resulting THDs for the depicted currents correspond to the highlighted column in Table 4. The waveforms of the currents show that the adaptation time is between 40 ms and 50 ms.CC BY · PubMed Central

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Metadata

Authors
Martinek, R., Bilik, P., Baros, J., Brablik, J., Kahankova, R., Jaros, R., Danys, L., Rzidky, J., & Wen, H.
Affiliations
  • Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB–Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic
  • VSB - Technical University of Ostrava (CZ)
  • Hunan University (CN)
ORCID
Venue
Sensors
Publisher
MDPI AG
Published
2020-03-19
Volume
20
Issue
6
Pages
1718
ISSN
1424-8220 (ISSN-L)
DOI
10.3390/s20061718
PMC
PMC7146521
OpenAlex
W3011108253
Cited by
31
References
1
Citations by year
2025: 1 · 2024: 2 · 2023: 13 · 2022: 4 · 2021: 5 · 2020: 6
FWCI
2.40
Type
journal article
Language
en
Open access
Licence
Locations
  • Sensors (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • DSpace VŠB-TUO (VŠB-TUO) (submittedVersion, cc-by)
Funders
  • Ministry of Education of the Czech Republic (Project No. SP2020/156, Project No. SP2020/151)
  • European Regional Development Fund in the Research Centre of Advanced Mechatronic Systems project (Project No. CZ.02.1.01/0.0/0.0/16_019/0000867)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Power Quality and Harmonics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Electrical Measurement Techniques
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Multilevel Inverters and Converters
Keywords
power quality, smart street lighting, adaptive current control, current harmonics, FPGA control, university campus lighting

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CoChat. (2026). Citation check: Design of a Measuring System for Electricity Quality Monitoring within the SMART Street Lighting Test Polygon: Pilot Study on Adaptive Current Control Strategy for Three-Phase Shunt Active Power Filters. https://app.cochat.ai/papers/10.3390/s20061718
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Martinek, R., Bilik, P., Baros, J., Brablik, J., Kahankova, R., Jaros, R., Danys, L., Rzidky, J., & Wen, H. (2020). Design of a Measuring System for Electricity Quality Monitoring within the SMART Street Lighting Test Polygon: Pilot Study on Adaptive Current Control Strategy for Three-Phase Shunt Active Power Filters. Sensors. https://doi.org/10.3390/s20061718