DocumentCode :
727063
Title :
Observability of network-delayed multi-converter power systems
Author :
Nwankpa, Chika O. ; Jimenez, Juan C. ; Jayasuriya, Sachi
Author_Institution :
Electr. & Comput. Eng. Dept., Drexel Univ., Philadelphia, PA, USA
fYear :
2015
fDate :
24-27 May 2015
Firstpage :
930
Lastpage :
933
Abstract :
Power electronic converter systems have become a key feature of smart grid technologies due to the efforts to achieve increased levels of autonomy in power system operation. However, when devising control strategies for multi-converter power systems, nonlinearities-associated issues with these types of systems arise (e.g. bifurcations) and must be taken into account as even a slight variation of a system parameter could change the structure of the system. With the increasing need for remote control, investigation of converter system dynamics alone is insufficient. Remote control is achieved via a communication system that is used for information passing between sensors and controllers, which hence plays an important role on the overall performance of the power system. Therefore, a need arises for the study of the power system (plant) and the communication system (network) as a single entity as the performance of one is highly dependent on the other. The focus of this work is the development of a metric that will serve as an indicator of overall system status to the power system operator.
Keywords :
control nonlinearities; observability; power convertors; power system control; smart power grids; telecontrol; communication system; control nonlinearities; network delayed multiconverter power system; observability; power converter system dynamics; power system operator; remote control; smart grid technology; system parameter variation; Delay effects; Delays; Jacobian matrices; Observability; Power system stability; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2015 IEEE International Symposium on
Conference_Location :
Lisbon
Type :
conf
DOI :
10.1109/ISCAS.2015.7168787
Filename :
7168787
Link To Document :
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