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Evaluation of Communication Infrastructures for Distributed Optimization of Virtual Power Plant Schedules

Author

Listed:
  • Frauke Oest

    (OFFIS—Institute for Information Technology, 26121 Oldenburg, Germany)

  • Malin Radtke

    (OFFIS—Institute for Information Technology, 26121 Oldenburg, Germany)

  • Marita Blank-Babazadeh

    (OFFIS—Institute for Information Technology, 26121 Oldenburg, Germany)

  • Stefanie Holly

    (OFFIS—Institute for Information Technology, 26121 Oldenburg, Germany)

  • Sebastian Lehnhoff

    (OFFIS—Institute for Information Technology, 26121 Oldenburg, Germany)

Abstract

With the transition towards renewable energy resources, the impact of small distributed generators (DGs) increases, leading to the need to actively stabilize distribution grids. DGs may be organized in virtual power plants (VPPs), where DGs’ schedules must be coordinated to enable the VPP to act as a single plant. One approach to solving this problem is using multi-agent systems (MAS) to offer autonomous, robust, and flexible control methods. The coordination of such systems requires communication between agents. The time required for this depends on communication characteristics, determined by the underlying communication infrastructure. In this paper, we investigate communication influences for the wireless technologies CDMA450 and LTE Advanced on the fully distributed optimization heuristic COHDA, which is used to perform optimized scheduling for a VPP. The use case under consideration is the adaptation of schedules to provide flexibility for regional congestion management for delivery on a regionalized ancillary service market (rAS). We investigate the scalability of the VPP and the effects of disturbances in the communication infrastructure. The results show that the optimization duration of COHDA can be influenced by the underlying communication infrastructure and that this optimization method is applicable to a limited extent for product delivery of rASs.

Suggested Citation

  • Frauke Oest & Malin Radtke & Marita Blank-Babazadeh & Stefanie Holly & Sebastian Lehnhoff, 2021. "Evaluation of Communication Infrastructures for Distributed Optimization of Virtual Power Plant Schedules," Energies, MDPI, vol. 14(5), pages 1-20, February.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:5:p:1226-:d:504750
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    References listed on IDEAS

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    1. Stephan Balduin & Dierk Brauer & Lars Elend & Stefanie Holly & Jan Korte & Carsten Krüger & Almuth Meier & Frauke Oest & Immo Sanders-Sjuts & Torben Sauer & Marco Schnieders & Robert Zilke & Christian, 2017. "Dynamic Portfolio Optimization for Distributed Energy Resources in Virtual Power Plants," Progress in IS, in: Volker Wohlgemuth & Frank Fuchs-Kittowski & Jochen Wittmann (ed.), Advances and New Trends in Environmental Informatics, pages 131-142, Springer.
    2. Steven H. Strogatz, 2001. "Exploring complex networks," Nature, Nature, vol. 410(6825), pages 268-276, March.
    3. Konstantinos Oureilidis & Kyriaki-Nefeli Malamaki & Konstantinos Gallos & Achilleas Tsitsimelis & Christos Dikaiakos & Spyros Gkavanoudis & Milos Cvetkovic & Juan Manuel Mauricio & Jose Maria Maza Ort, 2020. "Ancillary Services Market Design in Distribution Networks: Review and Identification of Barriers," Energies, MDPI, vol. 13(4), pages 1-44, February.
    4. Wang, Jiawei & You, Shi & Zong, Yi & Træholt, Chresten & Dong, Zhao Yang & Zhou, You, 2019. "Flexibility of combined heat and power plants: A review of technologies and operation strategies," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
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    Cited by:

    1. Lin, Xiaojie & Lin, Xueru & Zhong, Wei & Zhou, Yi, 2023. "Predictive operation optimization of multi-energy virtual power plant considering behavior uncertainty of diverse stakeholders," Energy, Elsevier, vol. 280(C).
    2. Harpreet Sharma & Sachin Mishra & Javed Dhillon & Naveen Kumar Sharma & Mohit Bajaj & Rizwan Tariq & Ateeq Ur Rehman & Muhammad Shafiq & Habib Hamam, 2022. "Feasibility of Solar Grid-Based Industrial Virtual Power Plant for Optimal Energy Scheduling: A Case of Indian Power Sector," Energies, MDPI, vol. 15(3), pages 1-21, January.
    3. Bianca Goia & Tudor Cioara & Ionut Anghel, 2022. "Virtual Power Plant Optimization in Smart Grids: A Narrative Review," Future Internet, MDPI, vol. 14(5), pages 1-22, April.

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