DocumentCode :
3099385
Title :
Distributed Control Concepts using Multi-Agent technology and Automatic Markets: An indispensable feature of smart power grids
Author :
Hommelberg, M.P.F. ; Warmer, C.J. ; Kamphuis, I.G. ; Kok, J.K. ; Schaeffer, G.J.
Author_Institution :
Unit Energy in the Built Environ. & Grids, Energy Res. Centre of the Netherlands, Petten
fYear :
2007
fDate :
24-28 June 2007
Firstpage :
1
Lastpage :
7
Abstract :
Multi-agent technology is state of the art ICT. It is not yet widely applied in power control systems. However, it has a large potential for bottom-up, distributed control of RES and DER in future power systems. At least two major European R&D projects (MicroGrids and CRISP) have investigated its potential. Both grid-related as well as market related applications have been studied. This paper will focus on two field tests, performed in the Netherlands, applying multi-agent control by means of the PowerMatcher concept. In the PowerMatcher concept (http://www.powermatcher.net/) software agents are used as representatives of the power producing and/or consuming installations. Via market algorithms a strategy is determined to ensure, that their operational schemes are coordinated in order to balance supply and demand according to the business case. The algorithms in the PowerMatcher use a bottom-up electronic market mechanism. Building such a system, controlling primary user processes on one hand, assuring local autonomy, and operating on the electricity market on the other hand, appears to be feasible with mainstream ICT-components. We will describe and discuss a number of results from two field tests performed with the PowerMatcher concept, and discuss further developments.
Keywords :
distributed power generation; multi-agent systems; power engineering computing; power grids; power system control; software agents; European R&D projects; Netherlands; PowerMatcher concept; automatic markets; distributed control concepts; electricity market; electronic market mechanism; microgrids; multiagent technology; power control systems; smart power grids; software agents; state of the art ICT; Application software; Density estimation robust algorithm; Distributed control; Performance evaluation; Power control; Power system control; Power systems; Smart grids; Software agents; Testing; Cooperative systems; Distributed Algorithms; Distributed computing; Distributed control; Power distribution; Power system control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
ISSN :
1932-5517
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2007.385969
Filename :
4275735
Link To Document :
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