DocumentCode :
647843
Title :
Co-simulation of components, controls and power systems based on open source software
Author :
Stifter, Michael ; Widl, Edmund ; Andren, Filip ; Elsheikh, Atiyah ; STRASSER, THOMAS ; Palensky, Peter
Author_Institution :
Energy Dept., AIT Austrian Inst. of Technol., Vienna, Austria
fYear :
2013
fDate :
21-25 July 2013
Firstpage :
1
Lastpage :
5
Abstract :
There exists no universal tool to analyze the increasing complexity in smart grids. Domain specific simulation and engineering tools partly address the challenges of complex system behavior. Different component technologies, customer behavior and controls in the power networks are interacting in a highly dynamic manner. Results of isolated simulations may be not accurate enough on the system level. Free and open available tools like GridLAB-D, PSAT, OpenModelica and 4DIAC are well known and widely used because of their excellent domain specific expertise. With co-simulation approaches the individual strengths of each tool can be exploited to model and simulate the various aspects of complex smart grids. The achieved level of detail and realism potentially surpasses the results that the individual analyses would gain. This paper demonstrates a local smart charging control strategy implemented with the IEC 61499-based standard for distributed control systems. It is simulated with different electric vehicle driving patterns, modeled with the multi-agent environment GridLAB-D. Battery models are defined in OpenModelica and embedded as individual dynamic loads. The power system is simulated using PSAT. This work shows that boundaries and restriction in terms of modeling cross-domain specific problems can be overcome by coupling these open source applications.
Keywords :
distributed control; electric vehicles; multi-agent systems; power engineering computing; power system control; power system simulation; public domain software; secondary cells; smart power grids; GridLAB-D; IEC 61499 based standard; OpenModelica; PSAT; battery models; component cosimulation; distributed control system; domain specific simulation; electric vehicle driving pattern; engineering tools; individual dynamic load; local smart charging control strategy; multiagent environment; open source software; power systems; smart grid; Batteries; IEC standards; Load modeling; Mathematical model; Object oriented modeling; Smart grids; Open source software; Power system analysis computing; Power system simulation; Smart grids;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
ISSN :
1944-9925
Type :
conf
DOI :
10.1109/PESMG.2013.6672388
Filename :
6672388
Link To Document :
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