IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i22p5959-d445341.html
   My bibliography  Save this article

Real-Time Validation of Power Flow Control Method for Enhanced Operation of Microgrids

Author

Listed:
  • Hossein Abedini

    (Department of Management and Engineering, University of Padova, 36100 Vicenza, Italy
    Interdepartmental Centre Giorgio Levi Cases, University of Padova, 35131 Padova, Italy)

  • Tommaso Caldognetto

    (Department of Management and Engineering, University of Padova, 36100 Vicenza, Italy
    Interdepartmental Centre Giorgio Levi Cases, University of Padova, 35131 Padova, Italy)

  • Paolo Mattavelli

    (Department of Management and Engineering, University of Padova, 36100 Vicenza, Italy
    Interdepartmental Centre Giorgio Levi Cases, University of Padova, 35131 Padova, Italy)

  • Paolo Tenti

    (Interdepartmental Centre Giorgio Levi Cases, University of Padova, 35131 Padova, Italy
    Department of Information Engineering, University of Padova, 35131 Padova, Italy)

Abstract

This paper describes a control methodology for electronic power converters distributed in low-voltage microgrids and its implementation criteria in general microgrid structures. In addition, a real-time simulation setup is devised, implemented, and discussed to validate the control operation in a benchmark network. Considering these key aspects, it is shown that operational constraints regarding the power delivered by sources, flowing through network branches, and exchanged at the point of connection with the main grid can generally be fulfilled by the presented control approach. The control is performed considering a cost function aiming at optimizing various operation indexes, including distribution losses, current stresses on feeders, voltage deviations. The control system allows an enhanced operation of the microgrid, specifically, it allows dynamic and accurate power flow control enabling the provision of ancillary services to the upstream grid, like the demand–response, by exploiting the available infrastructure and the energy resources. Then, the validation of the approach is reported by using a real-time simulation setup with accurate models of the power electronic converters and related local controllers, of the grid infrastructure, of the power flow controller, and of the communication network used for data exchange. It is also shown that the implemented platform allows to fully reproduce, analyze, and finally validate all the relevant steady-state and dynamic behaviors related in the considered scenario.

Suggested Citation

  • Hossein Abedini & Tommaso Caldognetto & Paolo Mattavelli & Paolo Tenti, 2020. "Real-Time Validation of Power Flow Control Method for Enhanced Operation of Microgrids," Energies, MDPI, vol. 13(22), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:5959-:d:445341
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/22/5959/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/22/5959/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Adam Summers & Jay Johnson & Rachid Darbali-Zamora & Clifford Hansen & Jithendar Anandan & Chad Showalter, 2020. "A Comparison of DER Voltage Regulation Technologies Using Real-Time Simulations," Energies, MDPI, vol. 13(14), pages 1-26, July.
    2. Sang-Jin Oh & Cheol-Hee Yoo & Il-Yop Chung & Dong-Jun Won, 2013. "Hardware-in-the-Loop Simulation of Distributed Intelligent Energy Management System for Microgrids," Energies, MDPI, vol. 6(7), pages 1-21, July.
    3. Leonel Estrada & Nimrod Vázquez & Joaquín Vaquero & Ángel de Castro & Jaime Arau, 2020. "Real-Time Hardware in the Loop Simulation Methodology for Power Converters Using LabVIEW FPGA," Energies, MDPI, vol. 13(2), pages 1-19, January.
    4. Andrew Ly & Saeid Bashash, 2020. "Fast Transactive Control for Frequency Regulation in Smart Grids with Demand Response and Energy Storage," Energies, MDPI, vol. 13(18), pages 1-23, September.
    5. Hee-Jun Cha & Dong-Jun Won & Sang-Hyuk Kim & Il-Yop Chung & Byung-Moon Han, 2015. "Multi-Agent System-Based Microgrid Operation Strategy for Demand Response," Energies, MDPI, vol. 8(12), pages 1-15, December.
    6. Matthew Gough & Sérgio F. Santos & Mohammed Javadi & Rui Castro & João P. S. Catalão, 2020. "Prosumer Flexibility: A Comprehensive State-of-the-Art Review and Scientometric Analysis," Energies, MDPI, vol. 13(11), pages 1-32, May.
    7. Juan Montoya & Ron Brandl & Keerthi Vishwanath & Jay Johnson & Rachid Darbali-Zamora & Adam Summers & Jun Hashimoto & Hiroshi Kikusato & Taha Selim Ustun & Nayeem Ninad & Estefan Apablaza-Arancibia & , 2020. "Advanced Laboratory Testing Methods Using Real-Time Simulation and Hardware-in-the-Loop Techniques: A Survey of Smart Grid International Research Facility Network Activities," Energies, MDPI, vol. 13(12), pages 1-38, June.
    8. Vanderlei Aparecido Silva & Alexandre Rasi Aoki & Germano Lambert-Torres, 2020. "Optimal Day-Ahead Scheduling of Microgrids with Battery Energy Storage System," Energies, MDPI, vol. 13(19), pages 1-28, October.
    9. Tayab, Usman Bashir & Roslan, Mohd Azrik Bin & Hwai, Leong Jenn & Kashif, Muhammad, 2017. "A review of droop control techniques for microgrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 717-727.
    10. Manuel Barragán-Villarejo & Francisco de Paula García-López & Alejandro Marano-Marcolini & José María Maza-Ortega, 2020. "Power System Hardware in the Loop (PSHIL): A Holistic Testing Approach for Smart Grid Technologies," Energies, MDPI, vol. 13(15), pages 1-22, July.
    11. Fabio D’Agostino & Daniele Kaza & Michele Martelli & Giacomo-Piero Schiapparelli & Federico Silvestro & Carlo Soldano, 2020. "Development of a Multiphysics Real-Time Simulator for Model-Based Design of a DC Shipboard Microgrid," Energies, MDPI, vol. 13(14), pages 1-18, July.
    12. Francesco Simmini & Marco Agostini & Massimiliano Coppo & Tommaso Caldognetto & Andrea Cervi & Fabio Lain & Ruggero Carli & Roberto Turri & Paolo Tenti, 2020. "Leveraging Demand Flexibility by Exploiting Prosumer Response to Price Signals in Microgrids," Energies, MDPI, vol. 13(12), pages 1-19, June.
    13. Mahmoud Elkazaz & Mark Sumner & Seksak Pholboon & Richard Davies & David Thomas, 2020. "Performance Assessment of an Energy Management System for a Home Microgrid with PV Generation," Energies, MDPI, vol. 13(13), pages 1-23, July.
    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. Paolo Tenti & Tommaso Caldognetto, 2023. "Integration of Local and Central Control Empowers Cooperation among Prosumers and Distributors towards Safe, Efficient, and Cost-Effective Operation of Microgrids," Energies, MDPI, vol. 16(5), pages 1-23, February.
    2. Paolo Tenti & Tommaso Caldognetto, 2022. "Generalized Control of the Power Flow in Local Area Energy Networks," Energies, MDPI, vol. 15(4), pages 1-21, February.
    3. Andrea Lauri & Tommaso Caldognetto & Davide Biadene & Hossein Abedini & Paolo Mattavelli, 2023. "Per-Phase Power Controller for Smooth Islanded Transitions in Three-Phase Three-Wire Systems," Energies, MDPI, vol. 16(2), pages 1-12, January.
    4. Geovane L. Reis & Danilo I. Brandao & João H. Oliveira & Lucas S. Araujo & Braz J. Cardoso Filho, 2022. "Case Study of Single-Controllable Microgrid: A Practical Implementation," Energies, MDPI, vol. 15(17), pages 1-22, September.
    5. Augusto M. S. Alonso & Luis De Oro Arenas & Danilo I. Brandao & Elisabetta Tedeschi & Ricardo Q. Machado & Fernando P. Marafão, 2022. "Current-Based Coordination of Distributed Energy Resources in a Grid-Connected Low-Voltage Microgrid: An Experimental Validation of Adverse Operational Scenarios," Energies, MDPI, vol. 15(17), pages 1-26, September.
    6. Maria Carmela Di Piazza, 2021. "Energy Management Systems for Optimal Operation of Electrical Micro/Nanogrids," Energies, MDPI, vol. 14(24), pages 1-3, December.

    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. Francesco Simmini & Tommaso Caldognetto & Mattia Bruschetta & Enrico Mion & Ruggero Carli, 2021. "Model Predictive Control for Efficient Management of Energy Resources in Smart Buildings," Energies, MDPI, vol. 14(18), pages 1-19, September.
    2. Annette von Jouanne & Emmanuel Agamloh & Alex Yokochi, 2023. "Power Hardware-in-the-Loop (PHIL): A Review to Advance Smart Inverter-Based Grid-Edge Solutions," Energies, MDPI, vol. 16(2), pages 1-27, January.
    3. Paolo Tenti & Tommaso Caldognetto, 2022. "Generalized Control of the Power Flow in Local Area Energy Networks," Energies, MDPI, vol. 15(4), pages 1-21, February.
    4. Sisi Pan & Wei Jiang & Ming Li & Hua Geng & Jieyun Wang, 2022. "Evaluation of the Communication Delay in a Hybrid Real-Time Simulator for Weak Grids," Energies, MDPI, vol. 15(6), pages 1-16, March.
    5. Meysam Yousefzadeh & Shahin Hedayati Kia & Mohammad Hoseintabar Marzebali & Davood Arab Khaburi & Hubert Razik, 2022. "Power-Hardware-in-the-Loop for Stator Windings Asymmetry Fault Analysis in Direct-Drive PMSG-Based Wind Turbines," Energies, MDPI, vol. 15(19), pages 1-17, September.
    6. Iulia Stamatescu & Nicoleta Arghira & Ioana Făgărăşan & Grigore Stamatescu & Sergiu Stelian Iliescu & Vasile Calofir, 2017. "Decision Support System for a Low Voltage Renewable Energy System," Energies, MDPI, vol. 10(1), pages 1-15, January.
    7. Quynh T.T Tran & Eleonora Riva Sanseverino & Gaetano Zizzo & Maria Luisa Di Silvestre & Tung Lam Nguyen & Quoc-Tuan Tran, 2020. "Real-Time Minimization Power Losses by Driven Primary Regulation in Islanded Microgrids," Energies, MDPI, vol. 13(2), pages 1-17, January.
    8. Ruyun Cheng & Li Yao & Xinyang Yan & Bingda Zhang & Zhao Jin, 2021. "High Flexibility Hybrid Architecture Real-Time Simulation Platform Based on Field-Programmable Gate Array (FPGA)," Energies, MDPI, vol. 14(19), pages 1-16, September.
    9. Pedro Faria & Zita Vale, 2022. "Realistic Load Modeling for Efficient Consumption Management Using Real-Time Simulation and Power Hardware-in-the-Loop," Energies, MDPI, vol. 16(1), pages 1-15, December.
    10. Polleux, Louis & Guerassimoff, Gilles & Marmorat, Jean-Paul & Sandoval-Moreno, John & Schuhler, Thierry, 2022. "An overview of the challenges of solar power integration in isolated industrial microgrids with reliability constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    11. Woltmann, Stefan & Kittel, Julia, 2022. "Development and implementation of multi-agent systems for demand response aggregators in an industrial context," Applied Energy, Elsevier, vol. 314(C).
    12. Cheol-Hee Yoo & Il-Yop Chung & Hak-Ju Lee & Sung-Soo Hong, 2013. "Intelligent Control of Battery Energy Storage for Multi-Agent Based Microgrid Energy Management," Energies, MDPI, vol. 6(10), pages 1-24, September.
    13. Vitor Fernão Pires & Armando Pires & Armando Cordeiro, 2023. "DC Microgrids: Benefits, Architectures, Perspectives and Challenges," Energies, MDPI, vol. 16(3), pages 1-20, January.
    14. Rachid Darbali-Zamora & Jay Johnson & Adam Summers & C. Birk Jones & Clifford Hansen & Chad Showalter, 2021. "State Estimation-Based Distributed Energy Resource Optimization for Distribution Voltage Regulation in Telemetry-Sparse Environments Using a Real-Time Digital Twin," Energies, MDPI, vol. 14(3), pages 1-21, February.
    15. Suparak Srita & Sakda Somkun & Tanakorn Kaewchum & Wattanapong Rakwichian & Peter Zacharias & Uthen Kamnarn & Jutturit Thongpron & Damrong Amorndechaphon & Matheepot Phattanasak, 2022. "Modeling, Simulation and Development of Grid-Connected Voltage Source Converter with Selective Harmonic Mitigation: HiL and Experimental Validations," Energies, MDPI, vol. 15(7), pages 1-28, March.
    16. Mousavizade, Mirsaeed & Bai, Feifei & Garmabdari, Rasoul & Sanjari, Mohammad & Taghizadeh, Foad & Mahmoudian, Ali & Lu, Junwei, 2023. "Adaptive control of V2Gs in islanded microgrids incorporating EV owner expectations," Applied Energy, Elsevier, vol. 341(C).
    17. Fan, Dongming & Ren, Yi & Feng, Qiang & Liu, Yiliu & Wang, Zili & Lin, Jing, 2021. "Restoration of smart grids: Current status, challenges, and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    18. Hyun-Koo Kang & Il-Yop Chung & Seung-Il Moon, 2015. "Voltage Control Method Using Distributed Generators Based on a Multi-Agent System," Energies, MDPI, vol. 8(12), pages 1-17, December.
    19. Fahad Alismail & Mohamed A. Abdulgalil & Muhammad Khalid, 2021. "Optimal Coordinated Planning of Energy Storage and Tie-Lines to Boost Flexibility with High Wind Power Integration," Sustainability, MDPI, vol. 13(5), pages 1-17, February.
    20. Charbonnier, Flora & Morstyn, Thomas & McCulloch, Malcolm D., 2022. "Coordination of resources at the edge of the electricity grid: Systematic review and taxonomy," Applied Energy, Elsevier, vol. 318(C).

    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:13:y:2020:i:22:p:5959-:d:445341. 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.