DocumentCode :
3261052
Title :
Multi-Agent System for Demand Side Management in smart grid
Author :
Logenthiran, T. ; Srinivasan, Dipti ; Shun, Tan Zong
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2011
fDate :
5-8 Dec. 2011
Firstpage :
424
Lastpage :
429
Abstract :
This paper presents a Multi-Agent System (MAS) for Demand Side Management (DSM) in smart grid which uses an energy market for resource allocation. The multi-agent system contains Load Agents, Generator Agents and DSM Agent, which provides an electronic auction platform. The automation of the demand side management through the multi-agent system is equipped with an intelligent strategy which allows controllable devices to dynamically react to market changes and adapt their bidding behaviours accordingly. The agents are able to shift energy demand within certain boundaries from peak hours to off-peak hours to minimize the operational cost of the system. Simulation studies were carried out on the developed multi-agent system and the results show that the proposed approach provides a smoothed load curve for the whole system while operational cost and peak demand are reduced.
Keywords :
costing; demand side management; multi-agent systems; power engineering computing; power markets; power system economics; resource allocation; smart power grids; DSM agent; MAS; controllable devices; demand side management; electronic auction platform; energy market; generator agents; load agents; multiagent system; off-peak hours; operational cost; resource allocation; smart grid; smoothed load curve; Batteries; Generators; Load flow control; Multiagent systems; Planning; Shape; Smart grids; Demand side management; Energy market; Microgrid; Multi-agent system; Smart grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Drive Systems (PEDS), 2011 IEEE Ninth International Conference on
Conference_Location :
Singapore
ISSN :
2164-5256
Print_ISBN :
978-1-61284-999-7
Electronic_ISBN :
2164-5256
Type :
conf
DOI :
10.1109/PEDS.2011.6147283
Filename :
6147283
Link To Document :
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