DocumentCode
2016496
Title
Design of a simulation system for analyzing smart grid architectures
Author
Schwerdfeger, R. ; Westermann, Dirk
Author_Institution
Dept. of Power Syst., Ilmenau Univ. of Technol., Ilmenau, Germany
fYear
2013
fDate
16-20 June 2013
Firstpage
1
Lastpage
6
Abstract
Power systems subjected to changes are both in terms of structure and operation. In power generation more and more countries begin to substitute power plants based on fossil fuels for renewable energy generations. At the same time electric vehicles are a new kind of demand in low voltage grids, which have a not negligible demand. For the investigation of new system management as well as Smart Grid architectures a testing environment is necessary. This paper presents a simulation system for testing and analyzing designed control methods or Smart Grid architectures. After a general outline and the formulation of requirements the major components will be described in detail. The designed models for various renewable energy generations and loads as well as for electric vehicles were integrated in the CIGRE benchmark system. Based on first studies´ results the functionalities of the simulation system were analyzed. It was shown that the system is able to simulate key components of Smart Grids like Demand Side Management, Storage System etc.
Keywords
electric vehicles; fossil fuels; power system management; power system simulation; renewable energy sources; smart power grids; CIGRE benchmark system; demand side management; electric vehicles; fossil fuels; low voltage grids; power generation; power plants; renewable energy generations; simulation system design; smart grid architectures; storage system; system management; Biological system modeling; Data models; Load modeling; Object oriented modeling; Photovoltaic systems; Smart grids; Smart Grid; distributed energy resources; power system control concepts; simulation system; storages;
fLanguage
English
Publisher
ieee
Conference_Titel
PowerTech (POWERTECH), 2013 IEEE Grenoble
Conference_Location
Grenoble
Type
conf
DOI
10.1109/PTC.2013.6652133
Filename
6652133
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