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A survey and statistical analysis of smart grid co-simulations

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  • Vogt, Mike
  • Marten, Frank
  • Braun, Martin

Abstract

Smart Grids consist of multiple actors and physical phenomena, which are often difficult to capture in one single simulation framework. Therefore, researchers increasingly couple distinct simulators to form novel “co-simulations”. In this paper we present a literature survey of 26 smart grid co-simulation frameworks. First of all, we present our understanding of a co-simulation. We then classify the 26 frameworks on multiple characteristics, such as simulation tools, synchronization methods and research topics. Finally, we present correlations between different key characteristics, analyze possible research gaps and discuss possible trends and future development areas in the field of smart grid co-simulations.

Suggested Citation

  • Vogt, Mike & Marten, Frank & Braun, Martin, 2018. "A survey and statistical analysis of smart grid co-simulations," Applied Energy, Elsevier, vol. 222(C), pages 67-78.
    • Handle: RePEc:eee:appene:v:222:y:2018:i:c:p:67-78
    DOI: 10.1016/j.apenergy.2018.03.123
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    1. Armin Heinzl & Martin Bichler & Wil M. P. Aalst, 2017. "Trans-National Joint Research Projects," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(4), pages 205-206, August.
    2. Pambour, Kwabena Addo & Cakir Erdener, Burcin & Bolado-Lavin, Ricardo & Dijkema, Gerard P.J., 2017. "SAInt – A novel quasi-dynamic model for assessing security of supply in coupled gas and electricity transmission networks," Applied Energy, Elsevier, vol. 203(C), pages 829-857.
    3. Zeng, Qing & Zhang, Baohua & Fang, Jiakun & Chen, Zhe, 2017. "A bi-level programming for multistage co-expansion planning of the integrated gas and electricity system," Applied Energy, Elsevier, vol. 200(C), pages 192-203.
    4. Wang, Qiang & Li, Rongrong, 2017. "Research status of shale gas: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 715-720.
    5. Adzor Ibiamke & Clement C. M. Ajekwe, 2017. "On Ensuring Rigour in Accounting Research," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 7(3), pages 157-170, July.
    6. Zi-Yu Li & Jia-Yu Zhong & Yuan-Biao Zhang & Yi-Yan Wang & Li-Qun Yang, 2017. "Research on Influence of Community Opening on Road Capacity," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 7(2), pages 116-125, June.
    7. Peter Ping Li, 2017. "The time for transition: Future trust research," Journal of Trust Research, Taylor & Francis Journals, vol. 7(1), pages 1-14, January.
    8. V.M. Dzhukha & A.N. Kokin & A.S. Li & T.Yu. Sinyuk, 2017. "Research and Development Intensity in Business: Russia and EU," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 64-76.
    9. Williams, Trevor & Wang, Dan & Crawford, Curran & Djilali, Ned, 2013. "Integrating renewable energy using a smart distribution system: Potential of self-regulating demand response," Renewable Energy, Elsevier, vol. 52(C), pages 46-56.
    10. Chen, Yue & Wei, Wei & Liu, Feng & Mei, Shengwei, 2017. "A multi-lateral trading model for coupled gas-heat-power energy networks," Applied Energy, Elsevier, vol. 200(C), pages 180-191.
    11. Yýldýrým Beyazýt ÇÝÇEN, 2017. "II. International Strategic Research Congress," Journal of Economics and Political Economy, KSP Journals, vol. 4(4), pages 423-424, December.
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    1. Marcus Venzke & Yevhenii Shudrenko & Amine Youssfi & Tom Steffen & Volker Turau & Christian Becker, 2023. "Co-Simulation of a Cellular Energy System," Energies, MDPI, vol. 16(17), pages 1-20, August.
    2. Suresh Chavhan & Subhi R. M. Zeebaree & Ahmed Alkhayyat & Sachin Kumar, 2022. "Design of Space Efficient Electric Vehicle Charging Infrastructure Integration Impact on Power Grid Network," Mathematics, MDPI, vol. 10(19), pages 1-20, September.
    3. Fernando Salinas-Herrera & Ali Moeini & Innocent Kamwa, 2022. "Survey of Simulation Tools to Assess Techno-Economic Benefits of Smart Grid Technology in Integrated T&D Systems," Sustainability, MDPI, vol. 14(13), pages 1-36, July.
    4. 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.
    5. Pouya Pourghasem Gavgani & Salar Baghbannovin & Seyed Masoud Mohseni-Bonab & Innocent Kamwa, 2024. "Distributed Energy Resources Management System (DERMS) and Its Coordination with Transmission System: A Review and Co-Simulation," Energies, MDPI, vol. 17(6), pages 1-20, March.

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