Combination of standards to support flexibility management in the smart grid, challenges and opportunities

H. Elshaafi (1) , Meritxell Vinyals (2) , M. Dibley (3) , I. Grimaldi (4) , M. Sisinni (5)

1 WIT - Waterford Institute of Technology
2 LADIS (CEA, LIST) - Laboratoire d'analyse des données et d'intelligence des systèmes (CEA, LIST)
3 Cardiff University
4 Telecom Italia
5 Smart Metering Systems plc

This paper presents the results of an assessment of a wide range of standards in the smart grid and telecommunications domains that may be jointly used to implement three use cases focusing on the use of the multi-agent systems paradigm in enhancing the smart grid particularly in the area of flexibility management. In addition to supporting a decentralised grid, multi-agent systems can improve other aspects such as reliability, performance and security. The paper identifies relevant standards based on a set of key smart grid use cases from the EU Mas2tering project. The evaluation aims to provide recommendations on combining those standards. This will enable new collaboration opportunities between grid operators, telecom and energy companies, both from technology and business perspectives. The set of telecommunication and energy standards is identified based on existing EU smart grid implementations, models (such as the Smart Grid Architecture Model) and reports published by the European and International standardisation bodies and coordination groups.

Mots clés: Business perspective; Smart power grids; Telecom; Electric power transmission networks; Decentralised; Energy companies; Grid operators; Energy standards; Smart grid; Smart grid architectures; Standards; multi-agent system; artificial intelligence; distributed learning

Domaines: Informatique [cs]; Système multi-agents [cs.MA]; Performance et fiabilité [cs.PF]; Systèmes et contrôle [cs.SY]; Energie électrique

H. Elshaafi, Meritxell Vinyals, M. Dibley, I. Grimaldi, M. Sisinni. Combination of standards to support flexibility management in the smart grid, challenges and opportunities. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 2017, 175, pp.143-151. ⟨10.1007/978-3-319-47729-9_15⟩. ⟨cea-01809218⟩