WiP Abstract: Mobility-based Load Balancing for IoT-enabled Devices in Smart Grids

Nitin Shivaraman, Jakob Fittler, Saravanan Ramanathan, Arvind Easwaran, Sebastian Steinhorst

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

There is an unprecedented load variability in the smart grids due to device (e.g. electric vehicles) mobility across different grid-locations. As a consequence, utility service providers have started exploring solutions such as dynamic pricing mechanisms, grid extensions and redistribution across micro-grids. However, most of these solutions do not exploit the transient nature of mobile devices. In this work, we propose an alternate mobility-based load balancing mechanism that exploits device-level flexibility. With recent advancements in Internet of Things (IoT) technology, we assume these devices to be equipped with IoT capabilities. We present an abstract model to capture the demand from these IoT-enabled devices in the form of a utility function. Our objective is to cater to the demand by incentivising device mobility without exceeding the peak load capacity across all grid-locations such that the overall utility of the devices is maximized.

Original languageEnglish
Title of host publicationProceedings - 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems, ICCPS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages192-193
Number of pages2
ISBN (Electronic)9781728155012
DOIs
Publication statusPublished - Apr 2020
Externally publishedYes
Event11th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2020 - Sydney, Australia
Duration: Apr 21 2019Apr 24 2019

Publication series

NameProceedings - 2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems, ICCPS 2020

Conference

Conference11th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2020
Country/TerritoryAustralia
CitySydney
Period4/21/194/24/19

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Control and Systems Engineering
  • Mechanical Engineering
  • Control and Optimization

Keywords

  • Decentralized Optimization
  • Electric Vehicles
  • IoT
  • Load Balancing
  • Smart Grids

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