DocumentCode :
3390355
Title :
Multi-Agent Based Optimal Power Flow Solution
Author :
Leeton, Uthen ; Kulworawanichpong, Thanatchai
Author_Institution :
Power Syst. Res. Unit, Suranaree Univ. of Technol., Nakhon Ratchasima, Thailand
fYear :
2012
fDate :
27-29 March 2012
Firstpage :
1
Lastpage :
4
Abstract :
This paper describes multi-agent based optimal power flow solution in which total production cost is used as the problem objective to be minimized. In this work, simulation of peer-to-peer device coordination has been developed using Java Agent Development (JADE) software package. JADE provides a FIPA-compliant agent platform and a package to develop multi-agent systems used in this paper. Six agent types are established. They are i) load agent ii) power generating plants agent, iii) transformer tap-setting agent iv) reactive power agent v) optimal load-flow agent and vi) management agent. In this paper each agent has been modeled as an intelligent agent, which joins to a container to form the multi agent system for solving optimal power flow problems. In this paper, the standard IEEE 6-bus test power system was employed. The results of this proposed system showed that the use of multi-agent systems enables possibility of applying optimal power flow in real-world applications.
Keywords :
IEEE standards; Java; load flow; multi-agent systems; power engineering computing; power system management; transformers; FIPA-compliant agent platform; JADE software package; Java agent development software package; management agent; multi-agent based optimal power flow solution; optimal load-flow agent; peer-to-peer device coordination; power generating plants agent; reactive power agent; standard IEEE 6-bus test power system; total production cost; transformer tap-setting agent; Containers; Generators; Java; Load flow; Multiagent systems; Reactive power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
ISSN :
2157-4839
Print_ISBN :
978-1-4577-0545-8
Type :
conf
DOI :
10.1109/APPEEC.2012.6307223
Filename :
6307223
Link To Document :
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