DocumentCode :
1593602
Title :
A Dynamic-RMS modeling method for distributed generation
Author :
Ortjohann, E. ; Sinsukthavorn, W. ; Mohd, A. ; Lingemann, M. ; Jaloudi, S. ; Hamsic, N. ; Schmelter, A. ; Morton, D.
Author_Institution :
Div. Soest, South Westphalia Univ. of Appl. Sci., Soest, Germany
fYear :
2009
Firstpage :
1
Lastpage :
8
Abstract :
The analysis of distributed generation systems is a very important part of the overall development of future power systems. However, when researchers analyze full scale dynamic behavior of a synchronous generator connected to a distributed generation system, they face many complex tasks such as huge computational time. This paper presents a new modeling approach for distributed generation using Root-Mean-Square (RMS) based methods for the electrical part in combination with differential equations to describe the dynamic behavior of the mechanical part of the power system. The proposed method improves the simulation of distributed generation including network transmission lines, transformers and losses. The simulation results demonstrate the proposed method has superior advantages in comparison to full scale dynamic method since it is accurate, faster and needs less computational resources.
Keywords :
difference equations; distributed power generation; power system simulation; synchronous generators; differential equations; distributed generation system; network losses; network transformers; network transmission lines; power systems; root-mean-square modeling; synchronous generator; Computational modeling; Differential equations; Distributed computing; Distributed control; Power system analysis computing; Power system dynamics; Power system modeling; Power system simulation; Power transmission lines; Synchronous generators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power & Energy Society General Meeting, 2009. PES '09. IEEE
Conference_Location :
Calgary, AB
ISSN :
1944-9925
Print_ISBN :
978-1-4244-4241-6
Type :
conf
DOI :
10.1109/PES.2009.5275865
Filename :
5275865
Link To Document :
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