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Development of tools for DER components in a distribution network

descriptionPublicationkeyboard_double_arrow_right Conference object , Article , Contribution for newspaper or weekly magazine 01 Sep 2012 Denmark Publisher:IEEEJournal:2012 XXth International Conference on Electrical Machines

Authors: Mihet-Popa, Lucian; Koch-Ciobotaru, C; Isleifsson, Fridrik Rafn; Bindner, Henrik W.;

doi: 10.1109/icelmach.2012.6350168

Development of tools for DER components in a distribution network

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Abstract

The increasing amount of Distributed Energy Resources (DER) components into distribution networks involves the development of accurate simulation models that take into account an increasing number of factors that influence the output power from the DG systems. This paper presents two simulation models: a PV system model using the single-diode four-parameter model based on data sheet values and a Vanadium Redox Battery (VRB) system model based on the efficiency of different components and the power losses. The unit models were implemented first in MATLAB/Simulink and the simulation results have been compared with the data sheet values and with the characteristics of the units. To point out the strong dependency on ambient conditions and to validate the simulation models a complex data processing subsystem model has also been developed. A PV and a VRB inverter models have also been developed and implemented in PowerFactory to study load flow, steady-state voltage stability and dynamic behavior of a distribution system.

Country

Denmark

Related Organizations

Technical University of Denmark
Denmark
Polytechnic University of Timişoara
Romania

Keywords

State of charge (SOC), Micro-grid, PV panels, distributed generation-DG, Distributed energy resources-DER, Solar radiation, Incidence and tilt angle, Vanadium redox battery-VRB

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	8
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average