Reducing Frequency of Request Communications with Pro-Active and Aggregated Power Management for the Controlled Delivery Power Grid

Haard Shah, Matthew Petrula, Roberto Rojas-Cessa, Haim Grebel

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

1 Scopus citations

Abstract

We present a feasibility analysis of the controlled delivery power grid (CDG) that uses aggregated power request by users to reduce communications overhead. The CDG, as an approach to the power grid, uses a data network to communicate requests and grants of power in the distribution of electrical power. These requests and grants allow the energy supplier know the power demand in advance and to designate the loads and the time when power is supplied to them. Each load is assigned a power-network address that is used for communication of requests and grants with the energy supplier. With addressed loads, power is only delivered to selected loads. However, issuing a request for power before delivery takes place requires knowing the demand of power the load consumes during the operation interval. However, it is a general concern that having issuing requests in a time-slot basis may risk request losses and therefore, generate intermittent supply. Therefore, we propose request aggregation to minimize the number of requests issued. We show by simulation that the CDG with request aggregation attains high performance, in terms of satisfaction ratio and waiting time for power supply.

Original languageEnglish (US)
Title of host publicationProceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages594-598
Number of pages5
ISBN (Electronic)9781538623237
DOIs
StatePublished - Nov 14 2017
Event14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017 - Orlando, United States
Duration: Oct 22 2017Oct 25 2017

Publication series

NameProceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017

Other

Other14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017
CountryUnited States
CityOrlando
Period10/22/1710/25/17

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Instrumentation
  • Electrical and Electronic Engineering

Keywords

  • aggregated power request
  • boolean grid
  • controllable delivery grid
  • digital grid
  • digital power grid
  • power grid
  • smart grid

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