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

Fingerprint

Loss Networks
Microgrid
Storage System
Auctions
Inclusion
Energy
Java
Communication
Multi agent systems
Electric power distribution
Distribution Network
Power System
Multi-agent Systems
Grid
Scenarios
Market
Framework

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

Cite this

Sesetti, A., Nunna, H. S. V. S. K., Doolla, S., & Rathore, A. K. (2017). Designing energy auction market for inclusion of storage systems and quantifying their impact on network losses - Multi agent approach. In 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017 (pp. 1-8). (2017 IEEE Industry Applications Society Annual Meeting, IAS 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAS.2017.8101788

Designing energy auction market for inclusion of storage systems and quantifying their impact on network losses - Multi agent approach. / Sesetti, Anudeep; Nunna, H. S.V.S.K.; Doolla, Suryanarayana; Rathore, Akshay K.

2017 IEEE Industry Applications Society Annual Meeting, IAS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-8 (2017 IEEE Industry Applications Society Annual Meeting, IAS 2017; Vol. 2017-January).

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

Sesetti, A, Nunna, HSVSK, Doolla, S & Rathore, AK 2017, Designing energy auction market for inclusion of storage systems and quantifying their impact on network losses - Multi agent approach. in 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017. 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-8, 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017, Cincinnati, United States, 10/1/17. https://doi.org/10.1109/IAS.2017.8101788
Sesetti A, Nunna HSVSK, Doolla S, Rathore AK. Designing energy auction market for inclusion of storage systems and quantifying their impact on network losses - Multi agent approach. In 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-8. (2017 IEEE Industry Applications Society Annual Meeting, IAS 2017). https://doi.org/10.1109/IAS.2017.8101788
Sesetti, Anudeep ; Nunna, H. S.V.S.K. ; Doolla, Suryanarayana ; Rathore, Akshay K. / Designing energy auction market for inclusion of storage systems and quantifying their impact on network losses - Multi agent approach. 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-8 (2017 IEEE Industry Applications Society Annual Meeting, IAS 2017).
@inproceedings{e3d242452ef64fa687ae46ddb76b7ee6,
title = "Designing energy auction market for inclusion of storage systems and quantifying their impact on network losses - Multi agent approach",
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.",
keywords = "Auction mechanism, Energy storage, Loss allocation, Microgrid, Network loss",
author = "Anudeep Sesetti and Nunna, {H. S.V.S.K.} and Suryanarayana Doolla and Rathore, {Akshay K.}",
year = "2017",
month = "11",
day = "8",
doi = "10.1109/IAS.2017.8101788",
language = "English",
series = "2017 IEEE Industry Applications Society Annual Meeting, IAS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--8",
booktitle = "2017 IEEE Industry Applications Society Annual Meeting, IAS 2017",
address = "United States",

}

TY - GEN

T1 - Designing energy auction market for inclusion of storage systems and quantifying their impact on network losses - Multi agent approach

AU - Sesetti, Anudeep

AU - Nunna, H. S.V.S.K.

AU - Doolla, Suryanarayana

AU - Rathore, Akshay K.

PY - 2017/11/8

Y1 - 2017/11/8

N2 - 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.

AB - 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.

KW - Auction mechanism

KW - Energy storage

KW - Loss allocation

KW - Microgrid

KW - Network loss

UR - http://www.scopus.com/inward/record.url?scp=85044201566&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85044201566&partnerID=8YFLogxK

U2 - 10.1109/IAS.2017.8101788

DO - 10.1109/IAS.2017.8101788

M3 - Conference contribution

T3 - 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017

SP - 1

EP - 8

BT - 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017

PB - Institute of Electrical and Electronics Engineers Inc.

ER -