State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System

Olamide Jogunola, Augustine Ikpehai, Kelvin Anoh, Bamidele Adebisi, Mohammad Hammoudeh, Sung-Yong Son and Georgina Harris
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Olamide Jogunola: School of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK
Augustine Ikpehai: School of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK
Kelvin Anoh: School of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK
Bamidele Adebisi: School of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK
Mohammad Hammoudeh: School of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK
Sung-Yong Son: Department of Electrical Engineering, Gachon University, Seongnam-si 13120, Gyeonggi-do, Korea
Georgina Harris: School of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK

Energies, 2017, vol. 10, issue 12, 1-28

Abstract: Transaction-based energy (TE) management and control has become an increasingly relevant topic, attracting considerable attention from industry and the research community alike. As a result, new techniques are emerging for its development and actualization. This paper presents a comprehensive review of TE involving peer-to-peer (P2P) energy trading and also covering the concept, enabling technologies, frameworks, active research efforts and the prospects of TE. The formulation of a common approach for TE management modelling is challenging given the diversity of circumstances of prosumers in terms of capacity, profiles and objectives. This has resulted in divergent opinions in the literature. The idea of this paper is therefore to explore these viewpoints and provide some perspectives on this burgeoning topic on P2P TE systems. This study identified that most of the techniques in the literature exclusively formulate energy trade problems as a game, an optimization problem or a variational inequality problem. It was also observed that none of the existing works has considered a unified messaging framework. This is a potential area for further investigation.

Keywords: proactive prosumer; energy trading; peer-to-peer (P2P) communication; smart micro-grid (SMG); survey; optimization; game theory; multi-agent system (MAS) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21)

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