Title :
Intelligent agent based auction by economic generation scheduling for microgrid operation
Author :
Bhuvaneswari, R. ; Srivastava, S.K. ; Edrington, C.S. ; Cartes, D.A. ; Subramanian, S.
Author_Institution :
Annamalai Univ., Annamalainagar, India
Abstract :
This paper presents the implementation of distributed controls in a microgrid operation. The approach utilizes the advantages of using Multi Agent Systems technology for controlled operation of a microgrid. The auctioneer aims to optimize the operation of the microgrid by optimizing the production of local distributed generators. An artificial immune system based algorithm is applied on a typical study case network assuming realistic market prices for power and distributed generators bids reflecting realistic operational costs. Simulation results clearly indicate that the agent based control framework is effective in coordinating the various distributed energy resources economically.
Keywords :
artificial immune systems; commerce; distributed power generation; multi-agent systems; power generation economics; power generation scheduling; power grids; power markets; Multi Agent Systems technology; artificial immune system based algorithm; distributed controls; distributed generators; economic generation scheduling; intelligent agent based auction; microgrid operation; power market prices; Artificial immune systems; Control systems; Costs; Distributed control; Distributed power generation; Energy resources; Intelligent agent; Optimized production technology; Power generation; Power generation economics; Artificial immune system algorithm; distributed generation; energy market; microgrids; multi agent systems;
Conference_Titel :
Innovative Smart Grid Technologies (ISGT), 2010
Conference_Location :
Gaithersburg, MD
Print_ISBN :
978-1-4244-6264-3
Electronic_ISBN :
978-1-4244-6333-6
DOI :
10.1109/ISGT.2010.5434745