IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i21p4153-d281950.html
   My bibliography  Save this article

Design of the Smart Grid Architecture According to Fractal Principles and the Basics of Corresponding Market Structure

Author

Listed:
  • Albana ILO

    (TU Wien—Institute of Energy Systems and Electrical Drives, 1040 Vienna, Austria)

Abstract

Nowadays, there is a dramatic upsurge in the use of renewable energy resources, ICT and digitalization that requires more than the straightforward refinements of an established power system structure. New solutions are required to perform dynamic optimizations in real time, closed loops and so on, taking into account the high requirements on data privacy and cyber security. The LINK -paradigm was designed to meet these requirements. It was developed on the basis of the bottom-up method that can lead to misinterpretations or wrong conclusions. This work mainly deals with the verification of the authenticity and correctness of LINK . Fractal analysis is used to identify the unique and independent elements of smart grids required for the design of an architectural paradigm. The signature of the fractal structure, the so-called fractal pattern, is founded and referred to as electrical appliances (ElA). The latter has proven to be the key component of the architectural LINK paradigm. The definition of the LINK paradigm is finally validated: It consists of unique and independent elements that avoid misinterpretation or the need for any changes in its definition. Additionally, the fractal analysis indicates two fractal anomalies in the existing power system structure, while the fractal dimension calculation insinuates the highest complexity in the fractal level of electrical devices. The LINK -based holistic architecture is given a finishing touch. A compact presentation of the control chain strategy is provided that should facilitate its practical implementation. The basis for the harmonization of the market structure with the grid link arrangements is established. The processes of demand response and conservation voltage reduction are presented under the new findings.

Suggested Citation

  • Albana ILO, 2019. "Design of the Smart Grid Architecture According to Fractal Principles and the Basics of Corresponding Market Structure," Energies, MDPI, vol. 12(21), pages 1-24, October.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4153-:d:281950
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/21/4153/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/21/4153/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Soshinskaya, Mariya & Crijns-Graus, Wina H.J. & Guerrero, Josep M. & Vasquez, Juan C., 2014. "Microgrids: Experiences, barriers and success factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 659-672.
    2. Wang, Qi & Zhang, Chunyu & Ding, Yi & Xydis, George & Wang, Jianhui & Østergaard, Jacob, 2015. "Review of real-time electricity markets for integrating Distributed Energy Resources and Demand Response," Applied Energy, Elsevier, vol. 138(C), pages 695-706.
    3. Junjie Hu & Tian Lan & Kai Heussen & Mattia Marinelli & Alexander Prostejovsky & Xianzhang Lei, 2018. "Robust Allocation of Reserve Policies for a Multiple-Cell Based Power System," Energies, MDPI, vol. 11(2), pages 1-15, February.
    4. Massoud Amin, 2013. "The smart-grid solution," Nature, Nature, vol. 499(7457), pages 145-147, July.
    5. Daniel-Leon Schultis & Albana Ilo, 2019. "Behaviour of Distribution Grids with the Highest PV Share Using the Volt/Var Control Chain Strategy," Energies, MDPI, vol. 12(20), pages 1-23, October.
    6. Viktorija Bobinaite & Artjoms Obushevs & Irina Oleinikova & Andrei Morch, 2018. "Economically Efficient Design of Market for System Services under the Web-of-Cells Architecture," Energies, MDPI, vol. 11(4), pages 1-29, March.
    7. Wolak, Frank A., 2003. "Diagnosing the California Electricity Crisis," The Electricity Journal, Elsevier, vol. 16(7), pages 11-37.
    8. Dodiek Ika Candra & Kilian Hartmann & Michael Nelles, 2018. "Economic Optimal Implementation of Virtual Power Plants in the German Power Market," Energies, MDPI, vol. 11(9), pages 1-24, September.
    9. Lüth, Alexandra & Zepter, Jan Martin & Crespo del Granado, Pedro & Egging, Ruud, 2018. "Local electricity market designs for peer-to-peer trading: The role of battery flexibility," Applied Energy, Elsevier, vol. 229(C), pages 1233-1243.
    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. Pierluigi Siano & Miadreza Shafie-khah, 2020. "Special Issue on Advanced Approaches, Business Models, and Novel Techniques for Management and Control of Smart Grids," Energies, MDPI, vol. 13(11), pages 1-3, May.
    2. Retière, N. & Sidqi, Y. & Frankhauser, P., 2022. "A steady-state analysis of distribution networks by diffusion-limited-aggregation and multifractal geometry," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    3. Daniel-Leon Schultis & Albana Ilo, 2021. "Increasing the Utilization of Existing Infrastructures by Using the Newly Introduced Boundary Voltage Limits," Energies, MDPI, vol. 14(16), pages 1-27, August.
    4. Albana Ilo & Helmut Bruckner & Markus Olofsgard & Marketa Adamcova & Andrea Werner, 2023. "Viable Fully Integrated Energy Community Based on the Holistic LINK Approach," Energies, MDPI, vol. 16(6), pages 1-38, March.
    5. Wadim Strielkowski & Dalia Streimikiene & Alena Fomina & Elena Semenova, 2019. "Internet of Energy (IoE) and High-Renewables Electricity System Market Design," Energies, MDPI, vol. 12(24), pages 1-17, December.
    6. Mohamed S. Abdalzaher & Mostafa M. Fouda & Mohamed I. Ibrahem, 2022. "Data Privacy Preservation and Security in Smart Metering Systems," Energies, MDPI, vol. 15(19), pages 1-19, October.

    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. Thomas I. Strasser & Sebastian Rohjans & Graeme M. Burt, 2019. "Methods and Concepts for Designing and Validating Smart Grid Systems," Energies, MDPI, vol. 12(10), pages 1-5, May.
    2. López, Iraide & Goitia-Zabaleta, Nerea & Milo, Aitor & Gómez-Cornejo, Julen & Aranzabal, Itxaso & Gaztañaga, Haizea & Fernandez, Elvira, 2024. "European energy communities: Characteristics, trends, business models and legal framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    3. Rodrigues, Stefane Dias & Garcia, Vinicius Jacques, 2023. "Transactive energy in microgrid communities: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    4. Chen, Kaixuan & Lin, Jin & Song, Yonghua, 2019. "Trading strategy optimization for a prosumer in continuous double auction-based peer-to-peer market: A prediction-integration model," Applied Energy, Elsevier, vol. 242(C), pages 1121-1133.
    5. Heinrich, Carsten & Ziras, Charalampos & Syrri, Angeliki L.A. & Bindner, Henrik W., 2020. "EcoGrid 2.0: A large-scale field trial of a local flexibility market," Applied Energy, Elsevier, vol. 261(C).
    6. Javier Rodríguez-García & David Ribó-Pérez & Carlos Álvarez-Bel & Elisa Peñalvo-López, 2019. "Novel Conceptual Architecture for the Next-Generation Electricity Markets to Enhance a Large Penetration of Renewable Energy," Energies, MDPI, vol. 12(13), pages 1-23, July.
    7. Iolanda Saviuc & Herbert Peremans & Steven Van Passel & Kevin Milis, 2019. "Economic Performance of Using Batteries in European Residential Microgrids under the Net-Metering Scheme," Energies, MDPI, vol. 12(1), pages 1-28, January.
    8. Ziad Ragab & Ehsan Pashajavid & Sumedha Rajakaruna, 2024. "Optimal Sizing and Economic Analysis of Community Battery Systems Considering Sensitivity and Uncertainty Factors," Energies, MDPI, vol. 17(18), pages 1-20, September.
    9. Zhou, Yuekuan & Lund, Peter D., 2023. "Peer-to-peer energy sharing and trading of renewable energy in smart communities ─ trading pricing models, decision-making and agent-based collaboration," Renewable Energy, Elsevier, vol. 207(C), pages 177-193.
    10. Zhao, Bo & Chen, Jian & Zhang, Leiqi & Zhang, Xuesong & Qin, Ruwen & Lin, Xiangning, 2018. "Three representative island microgrids in the East China Sea: Key technologies and experiences," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 262-274.
    11. Avilés A., Camilo & Oliva H., Sebastian & Watts, David, 2019. "Single-dwelling and community renewable microgrids: Optimal sizing and energy management for new business models," Applied Energy, Elsevier, vol. 254(C).
    12. Sampath Kumar Venkatachary & Jagdish Prasad & Ravi Samikannu & Annamalai Alagappan & Leo John Baptist & Raymon Antony Raj, 2020. "Macro Economics of Virtual Power Plant for Rural Areas of Botswana," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 196-207.
    13. Bui, Duong Minh & Chen, Shi-Lin & Lien, Keng-Yu & Chang, Yung-Ruei & Lee, Yih-Der & Jiang, Jheng-Lun, 2017. "Investigation on transient behaviours of a uni-grounded low-voltage AC microgrid and evaluation on its available fault protection methods: Review and proposals," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1417-1452.
    14. Reza Nadimi & Masahito Takahashi & Koji Tokimatsu & Mika Goto, 2024. "The Reliability and Profitability of Virtual Power Plant with Short-Term Power Market Trading and Non-Spinning Reserve Diesel Generator," Energies, MDPI, vol. 17(9), pages 1-19, April.
    15. Kirchhoff, Hannes & Strunz, Kai, 2019. "Key drivers for successful development of peer-to-peer microgrids for swarm electrification," Applied Energy, Elsevier, vol. 244(C), pages 46-62.
    16. Eissa, M.M., 2018. "First time real time incentive demand response program in smart grid with “i-Energy” management system with different resources," Applied Energy, Elsevier, vol. 212(C), pages 607-621.
    17. Lork, Clement & Li, Wen-Tai & Qin, Yan & Zhou, Yuren & Yuen, Chau & Tushar, Wayes & Saha, Tapan K., 2020. "An uncertainty-aware deep reinforcement learning framework for residential air conditioning energy management," Applied Energy, Elsevier, vol. 276(C).
    18. Frank A. Wolak, 2011. "Managing Demand-Side Economic and Political Constraints on Electricity Industry Re-structuring Processes," RSCAS Working Papers 2011/61, European University Institute.
    19. You, Zhengjie & Lumpp, Sebastian Dirk & Doepfert, Markus & Tzscheutschler, Peter & Goebel, Christoph, 2024. "Leveraging flexibility of residential heat pumps through local energy markets," Applied Energy, Elsevier, vol. 355(C).
    20. Wang, Yi & Qiu, Dawei & Sun, Mingyang & Strbac, Goran & Gao, Zhiwei, 2023. "Secure energy management of multi-energy microgrid: A physical-informed safe reinforcement learning approach," Applied Energy, Elsevier, vol. 335(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:12:y:2019:i:21:p:4153-:d:281950. 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.