DocumentCode :
630787
Title :
Information modeling for direct control of distributed energy resources
Author :
Biegel, Benjamin ; Andersen, Palle ; Stoustrup, Jakob ; Hansen, Lars Henrik ; Tackie, David Victor
Author_Institution :
Dept. of Electron. Syst., Autom. &Control, Aalborg Univ., Aalborg, Denmark
fYear :
2013
fDate :
17-19 June 2013
Firstpage :
3498
Lastpage :
3504
Abstract :
We present an architecture for an unbundled liberalized electricity market system where a virtual power plant (VPP) is able to control a number of distributed energy resources (DERs) directly through a two-way communication link. The aggregator who operates the VPP utilizes the accumulated flexibility of the DERs to participate in the electricity market on equal terms with conventional power plants. The focus of this paper is the interface between the DERs and the VPP: this interface must enable the aggregator to overview the total DER flexibility and remote control the DERs to provide a desired accumulated response. In this paper, we design such an information model based on the markets that the aggregator participates in and based on the flexibility characteristics of the remote controlled DERs. The information model is constructed in a modular manner making the interface suitable for a whole range of different DERs. The devised information model can serve as input to the international standardization efforts on DERs.
Keywords :
distributed power generation; energy resources; power generation control; power markets; power plants; telecontrol; DER flexibility; VPP; aggregator; conventional power plants; direct control; distributed energy resources; information modeling; international standardization efforts; remote controlled DER; two-way communication link; unbundled liberalized electricity market system; virtual power plant; Density estimation robust algorithm; Electricity supply industry; Frequency control; Power generation; Production; Reactive power; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
ISSN :
0743-1619
Print_ISBN :
978-1-4799-0177-7
Type :
conf
DOI :
10.1109/ACC.2013.6580372
Filename :
6580372
Link To Document :
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