Multi-Agent System for Distributed Management of Microgrids

• Published in: IEEE transactions on power systems Vol. 30; no. 1; pp. 24 - 34
• Main Authors: Foo Eddy, Y. S., Gooi, H. B., Chen, S. X.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2015; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Agents (artificial intelligence); Computer simulation; Deregulated energy market; distributed generation; Electric power grids; Expert systems; Generators; JADE; Load modeling; MACSimJX; Management; Markets; Matlab; microgrid; Microgrids; multi-agent system; Multi-agent systems; Pricing; Reference signals; Software packages
• ISSN: 0885-8950; 1558-0679
• DOI: 10.1109/TPWRS.2014.2322622

In market operations, distributed generators (DGs) and price-sensitive loads participate in a microgrid energy market implemented in JADE. Each DG and each price-sensitive load is represented by the respective agents which perform various functions such as scheduling, coordination and market clearing subject to system, DG and load constraints. Each agent is assigned to one of the several agent objectives which maximizes either DG or load surpluses or both. In simulated operation of a microgrid, hourly power reference signals and load control signals from JADE are passed to DG and load models developed in MATLAB/Simulink using MACSimJX. Simulated operation of DGs and loads are studied by performing simulations under different agent objectives. Results from simulation studies demonstrate the effectiveness of implementing multi-agent system (MAS) in the distributed management of microgrids.