Multi-agent system-based distributed energy management in smart grid under uncertainty

Md Habib Ullah; Anas Alseyat; Jae Do Park

doi:10.1109/ECCE.2019.8912976

Multi-agent system-based distributed energy management in smart grid under uncertainty

Md Habib Ullah
, Anas Alseyat
, Jae Do Park

School of Science, Engineering & Technology (Harrisburg)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

This paper proposes a robust distributed energy management scheme for smart grid operation under uncertainty. In this proposed approach, the centralized optimization was formulated with incremental cost based consensus algorithm and solved in a distributed manner. A multi-agent system was developed in Java Agent Development (JADE) framework to communicate with the neighbour agents in a privacy-preserving environment while solving for the distributed optimization problem. The uncertainty of the load and renewable energy generators was also statistically modelled in this paper. The result showed that the proposed algorithm converges very fast compared to the existing algorithms and it was compared with the centralized approach to justify its effectiveness of the proposed algorithm.

Original language	English (US)
Title of host publication	2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3462-3468
Number of pages	7
ISBN (Electronic)	9781728103952
DOIs	https://doi.org/10.1109/ECCE.2019.8912976
State	Published - Sep 2019
Event	11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 - Baltimore, United States Duration: Sep 29 2019 → Oct 3 2019

Publication series

Name	2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019

Conference

Conference	11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019
Country/Territory	United States
City	Baltimore
Period	9/29/19 → 10/3/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Mechanical Engineering
Control and Optimization
Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/ECCE.2019.8912976

Cite this

Ullah, M. H., Alseyat, A., & Park, J. D. (2019). Multi-agent system-based distributed energy management in smart grid under uncertainty. In 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019 (pp. 3462-3468). Article 8912976 (2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE.2019.8912976

@inproceedings{ec57887444a947f69cf865fab04d8acb,

title = "Multi-agent system-based distributed energy management in smart grid under uncertainty",

abstract = "This paper proposes a robust distributed energy management scheme for smart grid operation under uncertainty. In this proposed approach, the centralized optimization was formulated with incremental cost based consensus algorithm and solved in a distributed manner. A multi-agent system was developed in Java Agent Development (JADE) framework to communicate with the neighbour agents in a privacy-preserving environment while solving for the distributed optimization problem. The uncertainty of the load and renewable energy generators was also statistically modelled in this paper. The result showed that the proposed algorithm converges very fast compared to the existing algorithms and it was compared with the centralized approach to justify its effectiveness of the proposed algorithm.",

author = "Ullah, \{Md Habib\} and Anas Alseyat and Park, \{Jae Do\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 ; Conference date: 29-09-2019 Through 03-10-2019",

year = "2019",

month = sep,

doi = "10.1109/ECCE.2019.8912976",

language = "English (US)",

series = "2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "3462--3468",

booktitle = "2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019",

address = "United States",

}

Ullah, MH, Alseyat, A & Park, JD 2019, Multi-agent system-based distributed energy management in smart grid under uncertainty. in 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019., 8912976, 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019, Institute of Electrical and Electronics Engineers Inc., pp. 3462-3468, 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019, Baltimore, United States, 9/29/19. https://doi.org/10.1109/ECCE.2019.8912976

Multi-agent system-based distributed energy management in smart grid under uncertainty. / Ullah, Md Habib; Alseyat, Anas; Park, Jae Do.
2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 3462-3468 8912976 (2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Multi-agent system-based distributed energy management in smart grid under uncertainty

AU - Ullah, Md Habib

AU - Alseyat, Anas

AU - Park, Jae Do

PY - 2019/9

Y1 - 2019/9

N2 - This paper proposes a robust distributed energy management scheme for smart grid operation under uncertainty. In this proposed approach, the centralized optimization was formulated with incremental cost based consensus algorithm and solved in a distributed manner. A multi-agent system was developed in Java Agent Development (JADE) framework to communicate with the neighbour agents in a privacy-preserving environment while solving for the distributed optimization problem. The uncertainty of the load and renewable energy generators was also statistically modelled in this paper. The result showed that the proposed algorithm converges very fast compared to the existing algorithms and it was compared with the centralized approach to justify its effectiveness of the proposed algorithm.

AB - This paper proposes a robust distributed energy management scheme for smart grid operation under uncertainty. In this proposed approach, the centralized optimization was formulated with incremental cost based consensus algorithm and solved in a distributed manner. A multi-agent system was developed in Java Agent Development (JADE) framework to communicate with the neighbour agents in a privacy-preserving environment while solving for the distributed optimization problem. The uncertainty of the load and renewable energy generators was also statistically modelled in this paper. The result showed that the proposed algorithm converges very fast compared to the existing algorithms and it was compared with the centralized approach to justify its effectiveness of the proposed algorithm.

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U2 - 10.1109/ECCE.2019.8912976

DO - 10.1109/ECCE.2019.8912976

M3 - Conference contribution

AN - SCOPUS:85076771590

T3 - 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019

SP - 3462

EP - 3468

BT - 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019

Y2 - 29 September 2019 through 3 October 2019

ER -

Multi-agent system-based distributed energy management in smart grid under uncertainty

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

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