IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i3p993-d737495.html
   My bibliography  Save this article

Determination of Dielectric Losses in a Power Transformer

Author

Listed:
  • Zbigniew Nadolny

    (Department of High Voltage and Electrotechnical Materials, Faculty of Environmental Engineering and Energy, Institute of Power Engineering, Poznan University of Technology, 60-965 Poznan, Poland)

Abstract

The article presents a method of determining dielectric losses that occur in insulating materials in a power transformer. These losses depend mainly on the electric field stress, pulsation, dielectric loss coefficient, and electrical permittivity of insulating materials. These losses were determined by integrating an expression describing unit losses. The determined dielectric losses were compared with the total losses of the transformer. It turned out that dielectric losses are a fraction of a percent of the total losses. The influence of the electrical permittivity of the insulating liquid and paper insulation on the value of dielectric losses was investigated. This influence was ambiguous, which is characteristic of stratified systems made of materials with different permittivity. An analysis of the influence of the dielectric loss coefficient tan(delta) on the value of dielectric losses in the transformer was carried out. The impact of this coefficient on the amount of dielectric losses turned out to be directly proportional.

Suggested Citation

  • Zbigniew Nadolny, 2022. "Determination of Dielectric Losses in a Power Transformer," Energies, MDPI, vol. 15(3), pages 1-14, January.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:993-:d:737495
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/3/993/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/3/993/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter Havran & Roman Cimbala & Juraj Kurimský & Bystrík Dolník & Iraida Kolcunová & Dušan Medveď & Jozef Király & Vladimír Kohan & Ľuboš Šárpataky, 2022. "Dielectric Properties of Electrical Insulating Liquids for High Voltage Electric Devices in a Time-Varying Electric Field," Energies, MDPI, vol. 15(1), pages 1-21, January.
    2. Andrea Bonfiglio & Massimo Brignone & Marco Invernizzi & Alessandro Labella & Daniele Mestriner & Renato Procopio, 2017. "A Simplified Microgrid Model for the Validation of Islanded Control Logics," Energies, MDPI, vol. 10(8), pages 1-28, August.
    3. Rui Gao & Hongxia Guo & Ruihong Zhang & Tian Mao & Qianyao Xu & Baorong Zhou & Ping Yang, 2019. "A Two-Stage Dispatch Mechanism for Virtual Power Plant Utilizing the CVaR Theory in the Electricity Spot Market," Energies, MDPI, vol. 12(17), pages 1-18, September.
    4. Ruohan Gong & Jiangjun Ruan & Jingzhou Chen & Yu Quan & Jian Wang & Cihan Duan, 2017. "Analysis and Experiment of Hot-Spot Temperature Rise of 110 kV Three-Phase Three-Limb Transformer," Energies, MDPI, vol. 10(8), pages 1-12, July.
    5. Milton Fonseca Junior & Ubiratan Holanda Bezerra & Jandecy Cabral Leite & Jorge Laureano Moya Rodríguez, 2017. "Maintenance Tools applied to Electric Generators to Improve Energy Efficiency and Power Quality of Thermoelectric Power Plants," Energies, MDPI, vol. 10(8), pages 1-21, July.
    6. Rahman A. Prasojo & Karunika Diwyacitta & Suwarno & Harry Gumilang, 2017. "Transformer Paper Expected Life Estimation Using ANFIS Based on Oil Characteristics and Dissolved Gases (Case Study: Indonesian Transformers)," Energies, MDPI, vol. 10(8), pages 1-18, August.
    7. Ana Constantin & Artur Löwen & Ferdinanda Ponci & Dirk Müller & Antonello Monti, 2017. "Design, Implementation and Demonstration of Embedded Agents for Energy Management in Non-Residential Buildings," Energies, MDPI, vol. 10(8), pages 1-20, July.
    8. Lucas Cuadra & Miguel Del Pino & José Carlos Nieto-Borge & Sancho Salcedo-Sanz, 2017. "Optimizing the Structure of Distribution Smart Grids with Renewable Generation against Abnormal Conditions: A Complex Networks Approach with Evolutionary Algorithms," Energies, MDPI, vol. 10(8), pages 1-31, July.
    9. Ting Lu & Weige Zhang & Xiaowei Ding, 2021. "Operation Strategy of Electricity Retailers Based on Energy Storage System to Improve Comprehensive Profitability in China’s Electricity Spot Market," Energies, MDPI, vol. 14(19), pages 1-25, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Przemyslaw Goscinski & Zbigniew Nadolny & Andrzej Tomczewski & Ryszard Nawrowski & Tomasz Boczar, 2023. "The Influence of Heat Transfer Coefficient α of Insulating Liquids on Power Transformer Cooling Systems," Energies, MDPI, vol. 16(6), pages 1-15, March.
    2. Zbigniew Nadolny, 2023. "Design and Optimization of Power Transformer Diagnostics," Energies, MDPI, vol. 16(18), pages 1-7, September.
    3. Krzysztof Walczak, 2023. "Localization of HV Insulation Defects Using a System of Associated Capacitive Sensors," Energies, MDPI, vol. 16(5), pages 1-15, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alessandro Labella & Filip Filipovic & Milutin Petronijevic & Andrea Bonfiglio & Renato Procopio, 2020. "An MPC Approach for Grid-Forming Inverters: Theory and Experiment," Energies, MDPI, vol. 13(9), pages 1-17, May.
    2. Nallapaneni Manoj Kumar & Aneesh A. Chand & Maria Malvoni & Kushal A. Prasad & Kabir A. Mamun & F.R. Islam & Shauhrat S. Chopra, 2020. "Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-42, November.
    3. Fauzan Hanif Jufri & Jun-Sung Kim & Jaesung Jung, 2017. "Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event," Energies, MDPI, vol. 10(11), pages 1-17, November.
    4. Haifeng Liang & Yue Dong & Yuxi Huang & Can Zheng & Peng Li, 2018. "Modeling of Multiple Master–Slave Control under Island Microgrid and Stability Analysis Based on Control Parameter Configuration," Energies, MDPI, vol. 11(9), pages 1-18, August.
    5. Janvier Sylvestre N’cho & Issouf Fofana, 2020. "Review of Fiber Optic Diagnostic Techniques for Power Transformers," Energies, MDPI, vol. 13(7), pages 1-24, April.
    6. Teresa Nogueira & José Carvalho & José Magano, 2022. "Eco-Friendly Ester Fluid for Power Transformers versus Mineral Oil: Design Considerations," Energies, MDPI, vol. 15(15), pages 1-18, July.
    7. Rediske, Graciele & Michels, Leandro & Siluk, Julio Cezar Mairesse & Rigo, Paula Donaduzzi & Rosa, Carmen Brum & Lima, Andrei Cunha, 2024. "A proposed set of indicators for evaluating the performance of the operation and maintenance of photovoltaic plants," Applied Energy, Elsevier, vol. 354(PA).
    8. Miloš Šárpataky & Juraj Kurimský & Michal Rajňák & Michal Krbal & Marek Adamčák, 2022. "Dielectric Performance of Natural- and Synthetic-Ester-Based Nanofluids with Fullerene Nanoparticles," Energies, MDPI, vol. 16(1), pages 1-15, December.
    9. Orlando Duran & Andrea Capaldo & Paulo Andrés Duran Acevedo, 2017. "Lean Maintenance Applied to Improve Maintenance Efficiency in Thermoelectric Power Plants," Energies, MDPI, vol. 10(10), pages 1-21, October.
    10. Sabarathinam Srinivasan & Suresh Kumarasamy & Zacharias E. Andreadakis & Pedro G. Lind, 2023. "Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey," Energies, MDPI, vol. 16(14), pages 1-56, July.
    11. Ethem Çanakoğlu & Esra Adıyeke, 2020. "Comparison of Electricity Spot Price Modelling and Risk Management Applications," Energies, MDPI, vol. 13(18), pages 1-22, September.
    12. Ravago, Majah-Leah V. & Jandoc, Karl Robert & Pormon, Miah Maye, 2023. "Reliability and forced outages: Survival analysis with recurrent events," Japan and the World Economy, Elsevier, vol. 68(C).
    13. Isaías V. de Bessa & Renan L. P. de Medeiros & Iury Bessa & Florindo A. C. Ayres Junior & Alessandra R. de Menezes & Gustavo M. Torres & João Edgar Chaves Filho, 2020. "Comparative Study of Control Strategies for Stabilization and Performance Improvement of DC Microgrids with a CPL Connected," Energies, MDPI, vol. 13(10), pages 1-29, May.
    14. Sidney Jose Meireles de Andrade & Plácido Rogério Pinheiro & Glauber Jean Alves Narciso & José Tarcisio Pimentel Neto & João Pedro da Silva Bandeira & Vinicius Sales de Andrade & Cayo Cid de França Mo, 2022. "Prioritising Maintenance Work Orders in a Thermal Power Plant: A Multicriteria Model Application," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    15. Abi Munajad & Cahyo Subroto & Suwarno, 2018. "Fourier Transform Infrared (FTIR) Spectroscopy Analysis of Transformer Paper in Mineral Oil-Paper Composite Insulation under Accelerated Thermal Aging," Energies, MDPI, vol. 11(2), pages 1-12, February.
    16. Salcedo-Sanz, S. & Cuadra, L., 2019. "Quasi scale-free geographically embedded networks over DLA-generated aggregates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1286-1305.
    17. Haonan Tian & Zhongbao Wei & Sriram Vaisambhayana & Madasamy Thevar & Anshuman Tripathi & Philip Kjær, 2019. "A Coupled, Semi-Numerical Model for Thermal Analysis of Medium Frequency Transformer," Energies, MDPI, vol. 12(2), pages 1-16, January.
    18. Zbigniew Nadolny & Grzegorz Dombek, 2018. "Electro-Insulating Nanofluids Based on Synthetic Ester and TiO 2 or C 60 Nanoparticles in Power Transformer," Energies, MDPI, vol. 11(8), pages 1-11, July.
    19. Gabriel Santos & Tiago Pinto & Zita Vale & Rui Carvalho & Brígida Teixeira & Carlos Ramos, 2021. "Upgrading BRICKS—The Context-Aware Semantic Rule-Based System for Intelligent Building Energy and Security Management," Energies, MDPI, vol. 14(15), pages 1-14, July.
    20. Dongxiao Niu & Si Li & Shuyu Dai, 2018. "Comprehensive Evaluation for Operating Efficiency of Electricity Retail Companies Based on the Improved TOPSIS Method and LSSVM Optimized by Modified Ant Colony Algorithm from the View of Sustainable ," Sustainability, MDPI, vol. 10(3), pages 1-26, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:993-:d:737495. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.