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Peer-to-peer energy trading and grid control communications solutions’ feasibility assessment based on key performance indicators

Haapola, Jussi; Ali, Samad; Kalalas, Charalampos; Markkula, Juho; Rajatheva, Nandana; Pouttu, Ari; Martín Rapún, José Manuel; Lalaguna, Iván; Vazquez-Gallego, Francisco; Alonso-Zarate, Jesus; Deconinck, Geert; Almasalma, Hamad; Wu, Jianzhong; Zhang, Chenghua; Porras, Eloisa; Gallego, Francisco David (2018-07-26)

 
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https://doi.org/10.1109/VTCSpring.2018.8417871

Haapola, Jussi
Ali, Samad
Kalalas, Charalampos
Markkula, Juho
Rajatheva, Nandana
Pouttu, Ari
Martín Rapún, José Manuel
Lalaguna, Iván
Vazquez-Gallego, Francisco
Alonso-Zarate, Jesus
Deconinck, Geert
Almasalma, Hamad
Wu, Jianzhong
Zhang, Chenghua
Porras, Eloisa
Gallego, Francisco David
Institute of Electrical and Electronics Engineers
26.07.2018

J. Haapola et al., "Peer-to-Peer Energy Trading and Grid Control Communications Solutions’ Feasibility Assessment Based on Key Performance Indicators," 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), Porto, 2018, pp. 1-5. doi: 10.1109/VTCSpring.2018.8417871

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© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
https://rightsstatements.org/vocab/InC/1.0/
doi:https://doi.org/10.1109/VTCSpring.2018.8417871
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Abstract

Selection of the most appropriate communications technology for a smart grid (SG) application is far from trivial. We propose such a feasibility assessment starting from identification of key performance indicators (KPIs) required for peer-to-peer (P2P) energy trading and grid control operations from a communications perspective. A set of cross-disciplinary KPIs, both quantitative and qualitative, are considered from communications, power, business, actor involvement, financial, and demand side management categories. They serve as a general baseline for use cases, as there have been few previous works attempting to capture the essential features of P2P SG operations. The KPIs are briefly identified along with their relations to P2P energy trading and grid control. A straightforward comparison of the quantitative and qualitative KPIs’ impact on technology selection is not feasible. This paper addresses the comparison with: 1) a prioritization of the KPIs using the analytic hierarchy process; 2) a comparison of technology solutions evaluated in our previous works against the KPIs’ requirements; and 3) a total feasibility evaluation of the solutions against selected KPIs. The prioritization shows latency, reliability, security, scalability, robustness, costs of information and communication technologies (ICT) devices, and costs of ICT deployment are the most important KPIs in enabling P2P energy trading and grid control. Further, the technology feasibility assessment enables identification of the most suitable candidates for an SG application.

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