Cooperative Multi-Agent based Distributed Power Sharing Strategy in Low Voltage Microgrids

M. S Rahman; T. F Orchi; S Saha; M. E Haque

doi:10.1109/IAS.2019.8912416

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Cooperative Multi-Agent based Distributed Power Sharing Strategy in Low Voltage Microgrids

Conference paper

Peer reviewed

Cooperative Multi-Agent based Distributed Power Sharing Strategy in Low Voltage Microgrids

M. S Rahman, T. F Orchi, S Saha and M. E Haque

2019 IEEE Industry Applications Society Annual Meeting, pp.1-8

IEEE Industry Applications Society Annual Meeting (IAS), 2019 (Baltimore, United States, 29-Sep-2019–03-Oct-2019)

Institute of Electrical and Electronics Engineers

2019

DOI: https://doi.org/10.1109/IAS.2019.8912416

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Abstract

Communication

microgrid

multi-agent system

distributed control

battery storages

low voltage microgrids

In this paper, a cooperative multi-agent system (MAS) is presented for active and reactive power sharing in microgrids through a coupling of distributed control and communication techniques. Due to the natural intermittency of wind and solar, and limited capacity of battery storages, it is essential to manage proper power sharing to ensure the supply-demand balance. In order to optimally utilize of battery storage capacity, this paper emphasizes the power regulation from power electronic inverter interfaced battery storage units. A benchmark low voltage (LV) microgrid is considered and the MAS framework is developed through the well-known graph theory to enable a communication link among the controllable battery inverters where each agent is considered to be embedded to the battery inverter control unit. An optimal linear quadratic regulator (LQR) is designed within a distributed envelop to regulate the power injections into the system from the battery inverters. The consensus of intelligent agents is achieved through the information exchange among the controllable battery units.

Details

Title: Cooperative Multi-Agent based Distributed Power Sharing Strategy in Low Voltage Microgrids
Authors: M. S Rahman (Author) - Australian Energy Market Operator - AEMO (Melbourne, Australia)
T. F Orchi (Author) - Deakin University
S Saha (Author) - Deakin University
M. E Haque (Author) - Deakin University
Publication details: 2019 IEEE Industry Applications Society Annual Meeting, pp.1-8
Conference details: IEEE Industry Applications Society Annual Meeting (IAS), 2019 (Baltimore, United States, 29-Sep-2019–03-Oct-2019)
Publisher: Institute of Electrical and Electronics Engineers
Date published: 2019
DOI: 10.1109/IAS.2019.8912416
ISSN: 2576-702X; 0197-2618
ISBN: 9781538645390
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering
Language: English
Record Identifier: 99532108402621
Output Type: Conference paper

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