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
Link To Document :
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