IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i19p6171-d644628.html
   My bibliography  Save this article

Development of a Smart Meter for Power Quality-Based Tariff Implementation in a Smart Grid

Author

Listed:
  • Mayurkumar Rajkumar Balwani

    (Department of Electrical and Electronics Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli 620015, India)

  • Karthik Thirumala

    (Department of Electrical and Electronics Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli 620015, India)

  • Vivek Mohan

    (Department of Electrical and Electronics Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli 620015, India)

  • Siqi Bu

    (Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong)

  • Mini Shaji Thomas

    (Department of Electrical and Electronics Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli 620015, India)

Abstract

Regarding the modern power smart grid, distribution consumers and prosumers are highly concerned about power quality (PQ). In fact, they would prefer to pay higher prices for a reliable and good quality power supply. Unfortunately, utility operators still aim for reliability alone, ignoring the quality of supply voltage and current. There are no clear guidelines for monitoring, penalizing, or implementing PQ-based tariff schemes in LV distribution systems. In addition, the implementation of a PQ-based tariff requires a real-time measuring mechanism at the user end, which is very expensive and difficult to understand for a domestic consumer. This paper presents a novel, low-cost, efficient, and user-friendly smart PQ meter to overcome these issues and limitations. It is essentially a PQ analyzer with energy metering functionality, which implements a novel PQ-based tariff scheme that penalizes consumers violating the PQ limits and provides incentives for a good PQ profile. It measures as many as 28 parameters and keeps track of the PQ for both the consumer and the grid in real-time. This paper demonstrates the specifications, design, and testing of the meter and proves the validity of the concept by practical implementation. The meter is practical, feasible, and economical for implementing PQ-based tariff schemes in LV distribution systems or smart grids.

Suggested Citation

  • Mayurkumar Rajkumar Balwani & Karthik Thirumala & Vivek Mohan & Siqi Bu & Mini Shaji Thomas, 2021. "Development of a Smart Meter for Power Quality-Based Tariff Implementation in a Smart Grid," Energies, MDPI, vol. 14(19), pages 1-21, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6171-:d:644628
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/19/6171/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/19/6171/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. da Silva, Roberto Perillo Barbosa & Quadros, Rodolfo & Shaker, Hamid Reza & da Silva, Luiz Carlos Pereira, 2020. "Effects of mixed electronic loads on the electrical energy systems considering different loading conditions with focus on power quality and billing issues," Applied Energy, Elsevier, vol. 277(C).
    2. Lee, Dasom & Hess, David J., 2021. "Data privacy and residential smart meters: Comparative analysis and harmonization potential," Utilities Policy, Elsevier, vol. 70(C).
    3. Eduardo Viciana & Alfredo Alcayde & Francisco G. Montoya & Raul Baños & Francisco M. Arrabal-Campos & Antonio Zapata-Sierra & Francisco Manzano-Agugliaro, 2018. "OpenZmeter: An Efficient Low-Cost Energy Smart Meter and Power Quality Analyzer," Sustainability, MDPI, vol. 10(11), pages 1-13, November.
    4. Buchmann, Marius, 2017. "Governance of data and information management in smart distribution grids: Increase efficiency by balancing coordination and competition," Utilities Policy, Elsevier, vol. 44(C), pages 63-72.
    5. Ahmad, Ali & Kashif, Syed Abdul Rahman & Saqib, Muhammad Asghar & Ashraf, Arslan & Shami, Umar Tabrez, 2019. "Tariff for reactive energy consumption in household appliances," Energy, Elsevier, vol. 186(C).
    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. Athanasiadis, C.L. & Papadopoulos, T.A. & Kryonidis, G.C. & Doukas, D.I., 2024. "A review of distribution network applications based on smart meter data analytics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    2. Giovanni Artale & Nicola Panzavecchia & Valentina Cosentino & Antonio Cataliotti & Manel Ben-Romdhane & Amel Benazza-Ben Yahia & Valeria Boscaino & Noureddine Ben Othman & Vito Ditta & Michele Fiorino, 2023. "CZT-Based Harmonic Analysis in Smart Grid Using Low-Cost Electronic Measurement Boards," Energies, MDPI, vol. 16(10), pages 1-25, May.

    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. Budhavarapu, Jayaprakash & Thirumala, Karthik & Mohan, Vivek & Bu, Siqi & Sahoo, Manoranjan, 2022. "Tariff structure for regulation of reactive power and harmonics in prosumer-enabled low voltage distribution networks," Energy Economics, Elsevier, vol. 114(C).
    2. Silva, Walquiria N. & Bandória, Luís H.T. & Dias, Bruno H. & de Almeida, Madson C. & de Oliveira, Leonardo W., 2023. "Generating realistic load profiles in smart grids: An approach based on nonlinear independent component estimation (NICE) and convolutional layers," Applied Energy, Elsevier, vol. 351(C).
    3. Jun-Ho Huh & Jong Hyuk Park, 2020. "Decrepit Building Monitoring Solution for Zero Energy Building Management Using PLC and Android Application," Sustainability, MDPI, vol. 12(5), pages 1-26, March.
    4. Marcel Antal & Vlad Mihailescu & Tudor Cioara & Ionut Anghel, 2022. "Blockchain-Based Distributed Federated Learning in Smart Grid," Mathematics, MDPI, vol. 10(23), pages 1-19, November.
    5. Heilmann, Erik, 2023. "The impact of transparency policies on local flexibility markets in electric distribution networks," Utilities Policy, Elsevier, vol. 83(C).
    6. Lee, Dasom & Hess, David J. & Heldeweg, Michiel A., 2022. "Safety and privacy regulations for unmanned aerial vehicles: A multiple comparative analysis," Technology in Society, Elsevier, vol. 71(C).
    7. José Varela-Aldás & Steven Silva & Guillermo Palacios-Navarro, 2022. "IoT-Based Alternating Current Electrical Parameters Monitoring System," Energies, MDPI, vol. 15(18), pages 1-23, September.
    8. Guido Cavraro & Tommaso Caldognetto & Ruggero Carli & Paolo Tenti, 2019. "A Master/Slave Approach to Power Flow and Overvoltage Control in Low-Voltage Microgrids," Energies, MDPI, vol. 12(14), pages 1-22, July.
    9. Ryu, Do-Hyeon & Kim, Kwang-Jae, 2024. "The influence of information privacy concerns and perceived electricity usage habits on the usage intention of advanced metering infrastructure," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    10. Anthony J. Christe & Sergey Negrashov & Philip M. Johnson, 2020. "Design, Implementation, and Evaluation of Open Power Quality," Energies, MDPI, vol. 13(15), pages 1-25, August.
    11. Erik Heilmann, 2021. "The impact of transparency policies on local flexibility markets in electrical distribution networks: A case study with artificial neural network forecasts," MAGKS Papers on Economics 202141, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    12. da Silva, Roberto Perillo Barbosa & Quadros, Rodolfo & Shaker, Hamid Reza & da Silva, Luiz Carlos Pereira, 2020. "Effects of mixed electronic loads on the electrical energy systems considering different loading conditions with focus on power quality and billing issues," Applied Energy, Elsevier, vol. 277(C).
    13. Lee, Dasom & Hess, David J., 2021. "Data privacy and residential smart meters: Comparative analysis and harmonization potential," Utilities Policy, Elsevier, vol. 70(C).
    14. Gerard, Helena & Rivero Puente, Enrique Israel & Six, Daan, 2018. "Coordination between transmission and distribution system operators in the electricity sector: A conceptual framework," Utilities Policy, Elsevier, vol. 50(C), pages 40-48.
    15. Xie, Xiangmin & Chen, Daolian, 2022. "Data-driven dynamic harmonic model for modern household appliances," Applied Energy, Elsevier, vol. 312(C).
    16. Reif, Valerie & Meeus, Leonardo, 2022. "Smart metering interoperability issues and solutions: Taking inspiration from other ecosystems and sectors," Utilities Policy, Elsevier, vol. 76(C).
    17. Khorasany, Mohsen & Shokri Gazafroudi, Amin & Razzaghi, Reza & Morstyn, Thomas & Shafie-khah, Miadreza, 2022. "A framework for participation of prosumers in peer-to-peer energy trading and flexibility markets," Applied Energy, Elsevier, vol. 314(C).
    18. Hari Prasad Devarapalli & Venkata Samba Sesha Siva Sarma Dhanikonda & Sitarama Brahmam Gunturi, 2021. "Demand-Side Management for Improvement of the Power Quality in Smart Homes Using Non-Intrusive Identification of Appliance Usage Patterns with the True Power Factor," Energies, MDPI, vol. 14(16), pages 1-19, August.
    19. Sayed, Mohammad Ali & Ghafouri, Mohsen & Atallah, Ribal & Debbabi, Mourad & Assi, Chadi, 2024. "Grid Chaos: An uncertainty-conscious robust dynamic EV load-altering attack strategy on power grid stability," Applied Energy, Elsevier, vol. 363(C).
    20. Dasom Lee & David J. Hess, 2022. "Public concerns and connected and automated vehicles: safety, privacy, and data security," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.

    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:14:y:2021:i:19:p:6171-:d:644628. 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.