IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i7p2561-d784881.html
   My bibliography  Save this article

Hardware-in-the-Loop Validation of an Energy Management System for LV Distribution Networks with Renewable Energy Sources

Author

Listed:
  • Paweł Kelm

    (Institute of Electrical Power Engineering, Lodz University of Technology, 20 Stefanowskiego Street, 90-537 Lodz, Poland)

  • Irena Wasiak

    (Institute of Electrical Power Engineering, Lodz University of Technology, 20 Stefanowskiego Street, 90-537 Lodz, Poland)

  • Rozmysław Mieński

    (Institute of Electrical Power Engineering, Lodz University of Technology, 20 Stefanowskiego Street, 90-537 Lodz, Poland)

  • Andrzej Wędzik

    (Institute of Electrical Power Engineering, Lodz University of Technology, 20 Stefanowskiego Street, 90-537 Lodz, Poland)

  • Michał Szypowski

    (Institute of Electrical Power Engineering, Lodz University of Technology, 20 Stefanowskiego Street, 90-537 Lodz, Poland)

  • Ryszard Pawełek

    (Institute of Electrical Power Engineering, Lodz University of Technology, 20 Stefanowskiego Street, 90-537 Lodz, Poland)

  • Krzysztof Szaniawski

    (Apator S.A., Wolowa 2c, 93-569 Lodz, Poland)

Abstract

This paper presents the use of real-time digital simulator (RTDS) and hardware-in-the-loop (HIL) methods for the validation of an energy management system designed for real low-voltage (LV) distribution networks with a high penetration of renewable energy sources. The system is used to address voltage violations and current overloading issues and allows the network operator to maintain safe and controllable network operations. The applied control strategy and the system software were verified by means of simulations. In this paper, the next stage of system validation using the HIL method is presented. A testbed was designed and developed to test the operation of prototype controllers of the system in flexible and reproducible conditions before installing them in the network. The presented testing platform not only includes the LV network simulator with the power amplifiers needed for closed-loop setup but also additional elements of a real network to which the system is dedicated, i.e., the advanced metering infrastructure, photovoltaic source, and energy storage inverters and load devices. Furthermore, the real cellular network of the distribution network operator is used in the communication between the controllers. In addition, the article contains discussions on communication issues, including limitations related to selected protocols. Finally, examples of the experimental validation of the controller prototypes are presented.

Suggested Citation

  • Paweł Kelm & Irena Wasiak & Rozmysław Mieński & Andrzej Wędzik & Michał Szypowski & Ryszard Pawełek & Krzysztof Szaniawski, 2022. "Hardware-in-the-Loop Validation of an Energy Management System for LV Distribution Networks with Renewable Energy Sources," Energies, MDPI, vol. 15(7), pages 1-18, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2561-:d:784881
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/7/2561/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/7/2561/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bartłomiej Mroczek & Paweł Pijarski, 2021. "DSO Strategies Proposal for the LV Grid of the Future," Energies, MDPI, vol. 14(19), pages 1-19, October.
    2. Yue Zhang & Anurag Srivastava, 2021. "Voltage Control Strategy for Energy Storage System in Sustainable Distribution System Operation," Energies, MDPI, vol. 14(4), pages 1-12, February.
    3. Stavros Karagiannopoulos & Athanasios Vasilakis & Panos Kotsampopoulos & Nikos Hatziargyriou & Petros Aristidou & Gabriela Hug, 2021. "Experimental Verification of Self-Adapting Data-Driven Controllers in Active Distribution Grids," Energies, MDPI, vol. 14(10), pages 1-15, May.
    4. Kharrazi, A. & Sreeram, V. & Mishra, Y., 2020. "Assessment techniques of the impact of grid-tied rooftop photovoltaic generation on the power quality of low voltage distribution network - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    5. Matthias Pilz & Omar Ellabban & Luluwah Al-Fagih, 2019. "On Optimal Battery Sizing for Households Participating in Demand-Side Management Schemes," Energies, MDPI, vol. 12(18), pages 1-12, September.
    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. 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.
    2. Bartłomiej Mroczek & Paweł Pijarski, 2022. "Machine Learning in Operating of Low Voltage Future Grid," Energies, MDPI, vol. 15(15), pages 1-30, July.

    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. Ji-Won Lee & Mun-Kyeom Kim & Hyung-Joon Kim, 2021. "A Multi-Agent Based Optimization Model for Microgrid Operation with Hybrid Method Using Game Theory Strategy," Energies, MDPI, vol. 14(3), pages 1-21, January.
    2. Muhannad Alaraj & Anirudh Dube & Ibrahim Alsaidan & Mohammad Rizwan & Majid Jamil, 2021. "Design and Development of a Proficient Converter for Solar Photovoltaic Based Sustainable Power Generating System," Sustainability, MDPI, vol. 13(4), pages 1-24, February.
    3. Mulleriyawage, U.G.K. & Shen, W.X., 2021. "Impact of demand side management on optimal sizing of residential battery energy storage system," Renewable Energy, Elsevier, vol. 172(C), pages 1250-1266.
    4. Sheha, Moataz & Mohammadi, Kasra & Powell, Kody, 2021. "Techno-economic analysis of the impact of dynamic electricity prices on solar penetration in a smart grid environment with distributed energy storage," Applied Energy, Elsevier, vol. 282(PA).
    5. Maria Fotopoulou & Panagiotis Pediaditis & Niki Skopetou & Dimitrios Rakopoulos & Sotirios Christopoulos & Avraam Kartalidis, 2024. "A Review of the Energy Storage Systems of Non-Interconnected European Islands," Sustainability, MDPI, vol. 16(4), pages 1-24, February.
    6. Paweł Pijarski & Piotr Kacejko & Piotr Miller, 2023. "Advanced Optimisation and Forecasting Methods in Power Engineering—Introduction to the Special Issue," Energies, MDPI, vol. 16(6), pages 1-20, March.
    7. Dimitris Drikakis & Talib Dbouk, 2022. "The Role of Computational Science in Wind and Solar Energy: A Critical Review," Energies, MDPI, vol. 15(24), pages 1-20, December.
    8. Juha Koskela & Antti Mutanen & Pertti Järventausta, 2020. "Using Load Forecasting to Control Domestic Battery Energy Storage Systems," Energies, MDPI, vol. 13(15), pages 1-20, August.
    9. Hwang, Hyunkyeong & Yoon, Ahyun & Yoon, Yongtae & Moon, Seungil, 2023. "Demand response of HVAC systems for hosting capacity improvement in distribution networks: A comprehensive review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    10. Vincent Umoh & Innocent Davidson & Abayomi Adebiyi & Unwana Ekpe, 2023. "Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review," Energies, MDPI, vol. 16(8), pages 1-25, April.
    11. Yu Fujimoto & Akihisa Kaneko & Yutaka Iino & Hideo Ishii & Yasuhiro Hayashi, 2023. "Challenges in Smartizing Operational Management of Functionally-Smart Inverters for Distributed Energy Resources: A Review on Machine Learning Aspects," Energies, MDPI, vol. 16(3), pages 1-26, January.
    12. Lim, Kai Zhuo & Lim, Kang Hui & Wee, Xian Bin & Li, Yinan & Wang, Xiaonan, 2020. "Optimal allocation of energy storage and solar photovoltaic systems with residential demand scheduling," Applied Energy, Elsevier, vol. 269(C).
    13. Luo, Tengqi & Xuan, Ang & Wang, Yafei & Li, Guanglei & Fang, Juan & Liu, Zhengguang, 2023. "Energy efficiency evaluation and optimization of active distribution networks with building integrated photovoltaic systems," Renewable Energy, Elsevier, vol. 219(P1).
    14. Rajabi, A. & Elphick, S. & David, J. & Pors, A. & Robinson, D., 2022. "Innovative approaches for assessing and enhancing the hosting capacity of PV-rich distribution networks: An Australian perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    15. Mahinda Vilathgamuwa & Yateendra Mishra & Tan Yigitcanlar & Ashish Bhaskar & Clevo Wilson, 2022. "Mobile-Energy-as-a-Service (MEaaS): Sustainable Electromobility via Integrated Energy–Transport–Urban Infrastructure," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    16. El-Bayeh, Claude Ziad & Alzaareer, Khaled & Brahmi, Brahim & Zellagui, Mohamed & Eicker, Ursula, 2021. "An original multi-criteria decision-making algorithm for solar panels selection in buildings," Energy, Elsevier, vol. 217(C).
    17. Gregorio Fernández & Alejandro Martínez & Noemí Galán & Javier Ballestín-Fuertes & Jesús Muñoz-Cruzado-Alba & Pablo López & Simon Stukelj & Eleni Daridou & Alessio Rezzonico & Dimosthenis Ioannidis, 2021. "Optimal D-STATCOM Placement Tool for Low Voltage Grids," Energies, MDPI, vol. 14(14), pages 1-31, July.
    18. Tomasz Popławski & Sebastian Dudzik & Piotr Szeląg, 2023. "Forecasting of Energy Balance in Prosumer Micro-Installations Using Machine Learning Models," Energies, MDPI, vol. 16(18), pages 1-24, September.
    19. Arul Rajagopalan & Dhivya Swaminathan & Meshal Alharbi & Sudhakar Sengan & Oscar Danilo Montoya & Walid El-Shafai & Mostafa M. Fouda & Moustafa H. Aly, 2022. "Modernized Planning of Smart Grid Based on Distributed Power Generations and Energy Storage Systems Using Soft Computing Methods," Energies, MDPI, vol. 15(23), pages 1-18, November.
    20. Deroubaix, Paul & Kobashi, Takuro & Gurriaran, Léna & Benkhelifa, Fouzi & Ciais, Philippe & Tanaka, Katsumasa, 2023. "SolarEV City Concept for Paris," Applied Energy, Elsevier, vol. 350(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:15:y:2022:i:7:p:2561-:d:784881. 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.