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A Cosimulation Architecture for Power System, Communication, and Market in the Smart Grid

Author

Listed:
  • Markus Mirz
  • Lukas Razik
  • Jan Dinkelbach
  • Halil Alper Tokel
  • Gholamreza Alirezaei
  • Rudolf Mathar
  • Antonello Monti

Abstract

Smart grids evolve rapidly towards a system that includes components from different domains, which makes interdisciplinary modelling and analysis indispensable. In this paper, we present a cosimulation architecture for smart grids together with a comprehensive data model for the holistic representation of the power system, the communication network, and the energy market. Cosimulation is preferred over a monolithic approach since it allows leveraging the capabilities of existing, well-established domain-specific software. The challenges that arise in a multidomain smart grid cosimulation are identified for typical use cases through a discussion of the recent literature. Based on the identified requirements and use cases, a joint representation of the smart grid ecosystem is facilitated by a comprehensive data model. The proposed data model is then integrated in a software architecture, where the domain-specific simulators for the power grid, the communication network, and the market mechanisms are combined in a cosimulation framework. The details of the software architecture and its implementation are presented. Finally, the implemented framework is used for the cosimulation of a virtual power plant, where battery storages are controlled by a novel peak-shaving algorithm, and the battery storages and the market entity are interfaced through a communication network.

Suggested Citation

  • Markus Mirz & Lukas Razik & Jan Dinkelbach & Halil Alper Tokel & Gholamreza Alirezaei & Rudolf Mathar & Antonello Monti, 2018. "A Cosimulation Architecture for Power System, Communication, and Market in the Smart Grid," Complexity, Hindawi, vol. 2018, pages 1-12, February.
    • Handle: RePEc:hin:complx:7154031
    DOI: 10.1155/2018/7154031
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    References listed on IDEAS

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    1. Ketter, Wolfgang & Collins, John & Reddy, Prashant, 2013. "Power TAC: A competitive economic simulation of the smart grid," Energy Economics, Elsevier, vol. 39(C), pages 262-270.
    2. Zhou, Wei & Yang, Hongxing & Fang, Zhaohong, 2007. "A novel model for photovoltaic array performance prediction," Applied Energy, Elsevier, vol. 84(12), pages 1187-1198, December.
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