DocumentCode :
742314
Title :
Intelligent Energy Control Center for Distributed Generators Using Multi-Agent System
Author :
Manickavasagam, Krishnan
Author_Institution :
Gopalan Coll. of Eng. & Manage., Bangalore, India
Volume :
30
Issue :
5
fYear :
2015
Firstpage :
2442
Lastpage :
2449
Abstract :
This paper presents the modeling of intelligent energy control center (ECC) controlling distributed generators (DGs) using multi-agent system. Multi-agent system has been proposed to provide intelligent energy control and management in grids because of their benefits of extensibility, autonomy, reduced maintenance, etc. The multi-agent system constituting the smart grid and agents such as user agent, control agent, database agent, distributed energy resources (DER) agent work in collaboration to perform assigned tasks. The wind power generator connected with local load, the solar power connected with local load and the ECC controlled by fuzzy logic controller (FLC) are simulated in MATLAB/SIMULINK. The DER model is created in client and ECC is created in server. Communication between the server and the client is established using transmission control protocol/internet protocol (TCP/IP). The results indicate that the controlling of DER agent can be achieved both from server and client.
Keywords :
IP networks; distributed power generation; fuzzy control; intelligent control; multi-agent systems; power distribution control; power generation control; Internet protocol; control agent; database agent; distributed energy resources agent; distributed generator control; fuzzy logic control; intelligent energy control center; local load; multiagent system; transmission control protocol; user agent; wind power generator; Circuit breakers; Density estimation robust algorithm; Generators; Load modeling; Multi-agent systems; Power systems; Wind power generation; Distributed energy resources (DER) and transmission control protocol/internet protocol (TCP/IP); distributed generators (DGs); energy control center (ECC); fuzzy logic controller (FLC);
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2014.2368592
Filename :
6969841
Link To Document :
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