Designing energy auction market for inclusion of storage systems and quantifying their impact on network losses - Multi agent approach

Anudeep Sesetti, H. S.V.S.K. Nunna, Suryanarayana Doolla, Akshay K. Rathore

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

1 Citation (Scopus)

Abstract

This work involves design of an agent based energy auction market mechanism to include storage systems in an interconnected microgrid network using Multi Agent System (MAS) approach. The power system component of a microgrid is modelled using OpenDSS for a standard IEEE distribution network and the communication part is modelled using Java Agent Development Environment (JADE). The communication between JADE and OpenDSS is established through EzJCOM. The markets for both scenarios proposed are cleared initially without considering network losses. In the later part of the paper network losses are quantified and assigned to the appropriate element, and the market prices are revised for DGs, loads and storage systems. The framework is applied on a grid connected microgrid network and validated. It is found that the framework brings harmony between supply and demand of the microgrid thereby reducing the overall market prices.

Original languageEnglish
Title of host publication2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
ISBN (Electronic)9781509048946
DOIs
Publication statusPublished - Nov 8 2017
Event2017 IEEE Industry Applications Society Annual Meeting, IAS 2017 - Cincinnati, United States
Duration: Oct 1 2017Oct 5 2017

Publication series

Name2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
Volume2017-January

Conference

Conference2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
CountryUnited States
CityCincinnati
Period10/1/1710/5/17

Keywords

  • Auction mechanism
  • Energy storage
  • Loss allocation
  • Microgrid
  • Network loss

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Control and Optimization
  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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