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Characterization of the impact of PV and EV induced voltage variations on LED lamps in a low voltage installation
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0002-3587-7879
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0002-1819-8911
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0002-4004-0352
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0003-4074-9529
2020 (English)In: Electric power systems research, ISSN 0378-7796, E-ISSN 1873-2046, Vol. 185, article id 106352Article in journal (Refereed) Published
Abstract [en]

Photovoltaic (PV) systems, Electric vehicles (EV) and LED lamps have gained significant popularity in our current society. It is therefore common to find customer installations with all three operating together. PV and EV are known sources of voltage variations on the grid. The impact of these voltage variations on LED lamps situated in close proximity to PV or EV in a low voltage installation, in terms of overvoltage, undervoltage, and rapid voltage changes is systematically studied in a laboratory environment in this paper. Such variations can cause malfunctioning of the lamp based on its immunity and tolerance level or be disturbing to the end-user based on the intensity of variations and rate of recurrence of being subjected to such variations. In this work, the observed impacts on LED lamps are illustrated as 15 different cases. The scope of this work is to identify the possible impacts due to voltage variations induced by PV and EV systems on LED lamps and the potential problems that could happen long term due to recurrent subjection of such voltage variations.

Place, publisher, year, edition, pages
Elsevier, 2020. Vol. 185, article id 106352
Keywords [en]
Electric vehicle, LED lamps, Light emitting diodes, Photovoltaic systems, Harmonic analysis, Power quality, Voltage variations
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-78984DOI: 10.1016/j.epsr.2020.106352ISI: 000540159500007Scopus ID: 2-s2.0-85085199499OAI: oai:DiVA.org:ltu-78984DiVA, id: diva2:1432072
Note

Validerad;2020;Nivå 2;2020-05-26 (johcin)

Available from: 2020-05-26 Created: 2020-05-26 Last updated: 2023-09-05Bibliographically approved
In thesis
1. Time-varying Waveform Distortion in Low voltage network
Open this publication in new window or tab >>Time-varying Waveform Distortion in Low voltage network
2021 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The progressive advancement in new technologies has introduced new types of equipment into the grid. Some of these devices, which have gained significant popularity in the last few decades are photovoltaic (PV) systems and wind power systems from the generation side, and energy-efficient lighting i.e. LED lamps and energy-efficient transportation via electric vehicles from the consumption side. All these equipment essentially consist of different kinds of power electronic converters with their associated control systems. There is always feasibility of mutual interactions between these non-linear power electronic devices with the grid as well as with other grid-connected equipment placed electrically close to each other, where the control loops can face new system dynamics. Adverse interactions can cause interferences and in the worst-case lead to instability issues. A mapping of the potential interactions, in the form of emission is needed to understand interferences at the device level and system level. The overall aim of this work is to enhance the existing knowledge about the power quality aspects of the different non-linear power electronic devices that are being increasingly connected to the grid especially in low voltage networks. The conclusions derived from this study can be extended to a broader scale where there is the feasibility of multiple non-linear power electronic-based devices operating together at medium and high voltage levels.

The main contributions of the work are classified into three main parts: 

In the first part, an in-depth study of interharmonics in PV systems is carried out. Different sets of field measurements and measurements from controlled but realistic laboratory environments are investigated for interharmonic existence, persistence, and propagation. To ensure the genuinity of the observed interharmonics and to address the different challenges associated with their estimation, combinations of methods are applied and results compared. The possible reasons for their origin are systematically established through a comprehensive study. The potential system impacts which it could create in the grid and to other grid-connected equipment are investigated. The possibility for aggregation of interharmonics when multiple sources are connected to the same point of common coupling is explored via a statistical approach.

In the second part, initially harmonic interactions in wind parks, and between PV and LED lamps, are first discussed. The time-varying harmonic interaction phenomenon is studied in detail with the help of a mathematical model as well as with the help of analysis of field measurements at multiple locations of a wind park. The outcome of this study contributes to the yet challenging problem of harmonic contribution estimation in twofold. (a) A method is developed from long-term field measurements with which one could potentially identify which source of emission dominates in the analysis period, and (b) Limitations of the extended mathematical model are identified and inferences from field measurements are linked to further improve the mathematical model. Further, some specific cases of harmonic interactions between PV and LED lamps are illustrated. These examples could be a guidance for power electronic designers to increase individual device immunity subjected to harmonic interferences.

Additionally in the same part, the impact of PV induced voltage variations on different topologies of LED lamps are investigated. The considered voltage variations are distinguished as overvoltage, undervoltage, rapid voltage changes, and voltage steps due to fast-moving cloud transients, due to inverter operation itself, and due to voltage regulations caused by load tap changing operations of distribution transformers. Due to PV induced voltage variations, LED lamps are impacted in various ways. LED lamps are either potential victims of these voltage variations or LED lamps to act as sources of increased grid distortions. As potential victims, the studied LED lamps have shown changes in the light output, instability issues, and degradation in the driver efficiency. As potential sources of grid distortion, LED lamps have exhibited increased harmonic and interharmonic emissions. The difference in impact has been linked to the topology of the lamps.

In the third part, the application of a deep leaning based unsupervised machine learning method to extract waveform distortion patterns in big data for enhancing power quality knowledge is illustrated. Specifically, signal processing of interharmonics with precise frequency and amplitude estimation needs the processing of data of large volume for a higher resolution. Thus, the interharmonics analysis in long-term measurements evidences the need for an automatic tool to assist the experts. In this work, a deep learning method for the identification of spectral patterns of time-varying waveform distortion in photovoltaic installations is proposed. The PQ big data with information on harmonic and/or interharmonics in PV installations is handled by a deep autoencoder followed by feature clustering. Measurements of voltage and current from four distinct PV installations are used to illustrate the method. The proposed method accelerates the process of manual interpretation and is a starting point to determine how to proceed further with the data analysis.

Place, publisher, year, edition, pages
Skellefteå: Luleå University of Technology, 2021. p. 100
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
Keywords
Interharmonics, Harmonic interactions, Voltage variations, Deep learning
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
urn:nbn:se:ltu:diva-83416 (URN)978-91-7790-795-4 (ISBN)978-91-7790-796-1 (ISBN)
Public defence
2021-05-26, Hörsal A, Skellefteå samt zoom, Skellefteå, 16:30 (English)
Opponent
Supervisors
Funder
Swedish Energy Agency, 245 110
Available from: 2021-03-30 Created: 2021-03-30 Last updated: 2023-09-05Bibliographically approved

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Ravindran, VineethaSakar, SelcukRönnberg, SarahBollen, Math

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