Skip to main content
IEEE International Conference on CommunicationsVolume 2019-May, May 2019, Article number 87618802019 IEEE International Conference on Communications, ICC 2019; Shanghai International Convention CenterShanghai; China; 20 May 2019 through 24 May 2019; Category numberCFP19ICC-ART; Code 149930

Distributed Energy Trading via Cellular Internet of Things and Mobile Edge Computing(Conference Paper)

  • Vukobratovic, D.,
  • Bajovic, D.,
  • Anoh, K.,
  • Adebisi, B.
  Save all to author list
  • aFaculty of Technical Sciences University of Novi Sad, Novi Sad, Serbia
  • bSchool of Engineering Manchester Metropolitan, University Manchester, M1 5GD, United Kingdom

Abstract

Smart Grid is expected to support a variety of services for energy prosumers - entities that are able both to produce and consume energy. Enabling cooperation among such prosumers in the form of energy trading may be highly beneficial for all actors in Smart Grid. However, in order to provide energy trading capabilities, a communication infrastructure that will be able to offer energy trading service to a massive number of energy traders dispersed over a large geographic area is needed. In this paper, we argue that a 4G/5G cellular network that offers cellular Internet of Things (IoT) services and provides mobile edge computing (MEC) capabilities is ideally suited for future widespread energy trading. We discuss architecture of such a system, identify and present analytic models for each of its parts that also account for stochastic aspects, and propose an overall energy trading system model. By doing so, we obtain a novel optimization problem formulation of the energy trading, that is capable of handling uncertainties in price changes. Our results and discussion provides initial insights towards the design of energy trading services via emerging IoT/MEC-enabled mobile cellular networks. © 2019 IEEE.

Author keywords

Cellular Internet of ThingsDistributed Energy TradingMobile Edge ComputingNB-IoTSmart Grid Communications

Indexed keywords

Engineering controlled terms:CommerceEdge computingElectric power transmission networksInternet of thingsMobile telecommunication systemsPower marketsStochastic modelsStochastic systemsWireless networks
Engineering uncontrolled termsCellular networkCommunication infrastructureDistributed energiesGeographic areasInternet of Things (IOT)Mobile cellular networksOptimization problemsSmart Grid Communications
Engineering main heading:Smart power grids

Funding details

Funding sponsor Funding number Acronym
Engineering and Physical Sciences Research Council
See opportunities by EPSRC
EP/N03466X/1EPSRC
  • ISSN: 15503607
  • ISBN: 978-153868088-9
  • Source Type: Conference Proceeding
  • Original language: English
  • DOI: 10.1109/ICC.2019.8761880
  • Document Type: Conference Paper
  • Publisher: Institute of Electrical and Electronics Engineers Inc.


© Copyright 2019 Elsevier B.V., All rights reserved.

Cited by 12 documents

Kemp, N. , Siraj, M.S. , Tsiropoulou, E.E.
ELEKTRA: Empowering prosumers with distributed prosumer grouping and game-theoretic energy procurement
(2024) Simulation Modelling Practice and Theory
Wang, Y. , Jiang, A. , Wang, R.
A canonical coalitional game model incorporating motivational psychology analysis for incentivizing stable direct energy trading in smart grid
(2024) Energy
Tarambale, M. , Vasgi, B.P. , Naik, B.N.
Mathematical Models for Smart Grid Load Balancing
(2024) Panamerican Mathematical Journal
View details of all 12 citations
{"topic":{"name":"Smart Grid; Market Power; Energy Engineering","id":3491,"uri":"Topic/3491","prominencePercentile":99.845955,"prominencePercentileString":"99.846","overallScholarlyOutput":0},"dig":"5ff26ec1af478b24b441c3d8c9a4b8d379d5bc3685587bf8054fa29c0af0de7d"}

SciVal Topic Prominence

Topic:
Prominence percentile: