DocumentCode
1625682
Title
Agent-based power management of microgrids including renewable energy power generation
Author
Colson, C.M. ; Nehrir, M.H.
Author_Institution
Electr. & Comput. Eng. Dept., Montana State Univ., Bozeman, MT, USA
fYear
2011
Firstpage
1
Lastpage
3
Abstract
Future smart grids may rely on microgrid systems that integrate localized generation, load, and storage assets into autonomous power system entities. Seen as an enabling technology, microgrids offer solutions for both customers and system operators as building blocks of expanding power networks capable of broadly integrating distributed energy resources (DER) and providing a means to optimize local assets based on multiple objectives. In this paper, a distributed agent-based microgrid control architecture capable of coordinating and cooperatively achieving user-defined objectives is presented. Key attributes of centralized versus decentralized agent-based control are presented, as well as describing the challenges faced by operating a distributed architecture that must self-organize to appropriately coordinate the cooperative behavior of agents. Further, the demand for a robust, real-time microgrid power management and control framework that achieves effective operation and can optimize its local generation, load, and storage assets is discussed, along with the viability of distributed agent-based microgrid control towards achieving smart grid objectives.
Keywords
centralised control; control engineering computing; decentralised control; distributed control; distributed power generation; multi-agent systems; power distribution control; power generation control; power system management; smart power grids; DER; agent-based power management; autonomous power system entities; centralized agent-based control; control framework; decentralized agent-based control; distributed agent-based microgrid control architecture; distributed energy resources; localized generation; renewable energy power generation; robust real-time microgrid power management; smart grids; storage assets; user-defined objectives; Density estimation robust algorithm; Distributed power generation; Fuel cells; Power system stability; Robustness; Smart grids; Stability analysis; Distributed generation; microgrid; multi-agent;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location
San Diego, CA
ISSN
1944-9925
Print_ISBN
978-1-4577-1000-1
Electronic_ISBN
1944-9925
Type
conf
DOI
10.1109/PES.2011.6039390
Filename
6039390
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