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Use cases and business models of multi-agent system (MAS) ICT solutions for LV flexibility management

Author

Listed:
  • J.M. Espeche

    (R2M Solution)

  • T. Messervey

    (R2M Solution)

  • Z. Lennard

    (R2M Solution)

  • R. Puglisi

    (R2M Solution)

  • M. Sissini

    (Smart Metering Systems plc)

  • Meritxell Vinyals

    (LADIS (CEA, LIST) - Laboratoire d'analyse des données et d'intelligence des systèmes (CEA, LIST) - DM2I (CEA, LIST) - Département Métrologie Instrumentation & Information (CEA, LIST) - LIST (CEA) - Laboratoire d'Intégration des Systèmes et des Technologies - DRT (CEA) - Direction de Recherche Technologique (CEA) - CEA - Commissariat à l'énergie atomique et aux énergies alternatives - Université Paris-Saclay)

Abstract

This paper describes the use cases and business models opportunities of a Multi-Agent System (MAS) ICT solution for LV Flexibility Management. The MAS platform provides a technological solution that enables new collaboration opportunities between actors in the LV portion of the grid, namely, distribution system operators, ESCOs (in particular Telecoms) and consumers/ prosumers. MAS have potential for efficient decision-making in the LV part of the grid due to the large number devices, users and variables and which makes more efficient a decentralized decision making approach. To support the new collaborations and business strategies amongst these actors, new business models are required and the ecosystem forms series of multi-sided platform business models. In this paper, the approach to business model development is detailed and 17 resultant business model opportunities are identified. These business models are then mapped to the use cases for future analysis.

Suggested Citation

  • J.M. Espeche & T. Messervey & Z. Lennard & R. Puglisi & M. Sissini & Meritxell Vinyals, 2017. "Use cases and business models of multi-agent system (MAS) ICT solutions for LV flexibility management," Post-Print cea-01809215, HAL.
    • Handle: RePEc:hal:journl:cea-01809215
    DOI: 10.1007/978-3-319-47729-9_14
    Note: View the original document on HAL open archive server: https://cea.hal.science/cea-01809215
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