Energy Management Model for Energy District Prosumers and Utility: A Case Study of Texas State

  • I. Hussain
  • , Z. Ullah
  • , S. M. Ali
  • , B. Khan
  • , M. F. Qureshi
  • , C. A. Mehmood

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In recent, Smart Grid is heading towards mega grid with the integration of various consumer categories, renewable energy penetration, bi-directional communication infrastructure, and thousands of power buses interconnected in wide area systems. With this growing trend, new terminologies evolve, such as 'Prosumers in energy district' that refers to a special class of consumers residing in the vicinity with the capability of producing and consuming energy. Prosumers enhance the smart grid infrastructure in terms of grid-support, bi-directional energy flow, and stability enhancement. With Energy District (ED) as a generating zone, the utility must undergo a Service Level Agreement (SLA) that mutually satisfies the financial benefits. Considering above, we propose a bi-directional energy management model for an ED and Utility. Moreover, a Coalition Manager (CM) is introduced that statistically correlates the weather parameters with electrical load consumption of consumers and controls the energy flows between both parties under the principle of Service SLA. Furthermore, with climatic drifts, an optimization model is developed that maximizes the revenue of the utility. Under SLA umbrella, on Prosumers end, the cost of energy consumption ($/MWh) is minimized and energy surplus is maximized. To validate the aforementioned model, real-time data of Texas State (US) is modeled and analyzed.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Frontiers of Information Technology, FIT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages282-287
Number of pages6
ISBN (Electronic)9781538635674
DOIs
StatePublished - 2 Jul 2017
Externally publishedYes
Event15th International Conference on Frontiers of Information Technology, FIT 2017 - Islamabad, Pakistan
Duration: 18 Dec 201720 Dec 2017

Publication series

NameProceedings - 2017 International Conference on Frontiers of Information Technology, FIT 2017
Volume2017-January

Conference

Conference15th International Conference on Frontiers of Information Technology, FIT 2017
Country/TerritoryPakistan
CityIslamabad
Period18/12/1720/12/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • demand-response
  • energy-district
  • energy-management
  • smart-grid

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management

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