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

Md Habib Ullah, Anas Alseyat, Jae Do Park

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publication2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3462-3468
Number of pages7
ISBN (Electronic)9781728103952
DOIs
StatePublished - Sep 2019
Event11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 - Baltimore, United States
Duration: Sep 29 2019Oct 3 2019

Publication series

Name2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019

Conference

Conference11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019
Country/TerritoryUnited States
CityBaltimore
Period9/29/1910/3/19

All Science Journal Classification (ASJC) codes

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

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