A Multi-Agent System for Energy Management in Smart Microgrids with Distributed Energy Storage and Demand Response

Kumar Nunna, Dipti Srinivasan

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

This paper proposes a multi-agent system based microgrid energy management framework to balance the energy supply and demand by feasibly integrating the distributed energy storage and demand response (DR). The main contribution of this paper is an energy management system which schedules the operation of distributed energy storage systems (DESSs) and DR loads based on the day-ahead forecast data to minimise the energy mismatches in the system by taking the preferences set by the owners and life depletion costs of DESSs. The target schedule prepared based on the forecast information is adjusted in real-time to compromise the uncertainties and forecast errors. Besides scheduling the energy resources, the proposed management systems organises an energy spot market to settle the energy demand and supply quotes of end-users and distributed generators (DGs). The developed multi-agent systems is applied to a microgrid case study to verify its performance. The simulation results and their analysis suggest that the proposed microgrid energy management system is effective in managing the energy under uncertainties.

Original languageEnglish
Pages1-5
Number of pages5
DOIs
Publication statusPublished - Apr 27 2017
Event2016 IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2016 - Trivandrum, Kerala, India
Duration: Dec 14 2016Dec 17 2016

Conference

Conference2016 IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2016
CountryIndia
CityTrivandrum, Kerala
Period12/14/1612/17/16

Fingerprint

Energy management
Multi agent systems
Energy storage
Energy management systems
Energy resources
Scheduling
Costs
Uncertainty

ASJC Scopus subject areas

  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology
  • Mechanical Engineering

Cite this

Nunna, K., & Srinivasan, D. (2017). A Multi-Agent System for Energy Management in Smart Microgrids with Distributed Energy Storage and Demand Response. 1-5. Paper presented at 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2016, Trivandrum, Kerala, India. https://doi.org/10.1109/PEDES.2016.7914490

A Multi-Agent System for Energy Management in Smart Microgrids with Distributed Energy Storage and Demand Response. / Nunna, Kumar; Srinivasan, Dipti.

2017. 1-5 Paper presented at 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2016, Trivandrum, Kerala, India.

Research output: Contribution to conferencePaper

Nunna, K & Srinivasan, D 2017, 'A Multi-Agent System for Energy Management in Smart Microgrids with Distributed Energy Storage and Demand Response' Paper presented at 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2016, Trivandrum, Kerala, India, 12/14/16 - 12/17/16, pp. 1-5. https://doi.org/10.1109/PEDES.2016.7914490
Nunna K, Srinivasan D. A Multi-Agent System for Energy Management in Smart Microgrids with Distributed Energy Storage and Demand Response. 2017. Paper presented at 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2016, Trivandrum, Kerala, India. https://doi.org/10.1109/PEDES.2016.7914490
Nunna, Kumar ; Srinivasan, Dipti. / A Multi-Agent System for Energy Management in Smart Microgrids with Distributed Energy Storage and Demand Response. Paper presented at 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2016, Trivandrum, Kerala, India.5 p.
@conference{7b1ddb5637ec4632af74c20c1060f4dc,
title = "A Multi-Agent System for Energy Management in Smart Microgrids with Distributed Energy Storage and Demand Response",
abstract = "This paper proposes a multi-agent system based microgrid energy management framework to balance the energy supply and demand by feasibly integrating the distributed energy storage and demand response (DR). The main contribution of this paper is an energy management system which schedules the operation of distributed energy storage systems (DESSs) and DR loads based on the day-ahead forecast data to minimise the energy mismatches in the system by taking the preferences set by the owners and life depletion costs of DESSs. The target schedule prepared based on the forecast information is adjusted in real-time to compromise the uncertainties and forecast errors. Besides scheduling the energy resources, the proposed management systems organises an energy spot market to settle the energy demand and supply quotes of end-users and distributed generators (DGs). The developed multi-agent systems is applied to a microgrid case study to verify its performance. The simulation results and their analysis suggest that the proposed microgrid energy management system is effective in managing the energy under uncertainties.",
author = "Kumar Nunna and Dipti Srinivasan",
year = "2017",
month = "4",
day = "27",
doi = "10.1109/PEDES.2016.7914490",
language = "English",
pages = "1--5",
note = "2016 IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2016 ; Conference date: 14-12-2016 Through 17-12-2016",

}

TY - CONF

T1 - A Multi-Agent System for Energy Management in Smart Microgrids with Distributed Energy Storage and Demand Response

AU - Nunna, Kumar

AU - Srinivasan, Dipti

PY - 2017/4/27

Y1 - 2017/4/27

N2 - This paper proposes a multi-agent system based microgrid energy management framework to balance the energy supply and demand by feasibly integrating the distributed energy storage and demand response (DR). The main contribution of this paper is an energy management system which schedules the operation of distributed energy storage systems (DESSs) and DR loads based on the day-ahead forecast data to minimise the energy mismatches in the system by taking the preferences set by the owners and life depletion costs of DESSs. The target schedule prepared based on the forecast information is adjusted in real-time to compromise the uncertainties and forecast errors. Besides scheduling the energy resources, the proposed management systems organises an energy spot market to settle the energy demand and supply quotes of end-users and distributed generators (DGs). The developed multi-agent systems is applied to a microgrid case study to verify its performance. The simulation results and their analysis suggest that the proposed microgrid energy management system is effective in managing the energy under uncertainties.

AB - This paper proposes a multi-agent system based microgrid energy management framework to balance the energy supply and demand by feasibly integrating the distributed energy storage and demand response (DR). The main contribution of this paper is an energy management system which schedules the operation of distributed energy storage systems (DESSs) and DR loads based on the day-ahead forecast data to minimise the energy mismatches in the system by taking the preferences set by the owners and life depletion costs of DESSs. The target schedule prepared based on the forecast information is adjusted in real-time to compromise the uncertainties and forecast errors. Besides scheduling the energy resources, the proposed management systems organises an energy spot market to settle the energy demand and supply quotes of end-users and distributed generators (DGs). The developed multi-agent systems is applied to a microgrid case study to verify its performance. The simulation results and their analysis suggest that the proposed microgrid energy management system is effective in managing the energy under uncertainties.

UR - http://www.scopus.com/inward/record.url?scp=85042262481&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85042262481&partnerID=8YFLogxK

U2 - 10.1109/PEDES.2016.7914490

DO - 10.1109/PEDES.2016.7914490

M3 - Paper

AN - SCOPUS:85042262481

SP - 1

EP - 5

ER -