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

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  • 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
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    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.
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    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.

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