DocumentCode :
634063
Title :
PMU-based linear and nonlinear black-box modelling of power systems
Author :
Zaker, B. ; Gharehpetian, G.B. ; Mirsalim, Mojtaba ; Moaddabi, N.
Author_Institution :
Electr. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran
fYear :
2013
fDate :
14-16 May 2013
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents black-box modeling of power systems using both linear and nonlinear methods. These methods contain wavelet-based and Hammerstein-Wiener as nonlinear methods and state-space as a linear method. In this study, the power system has been considered as a multi input multi output black-box model while the field voltage of synchronous generators and the voltage of buses have been considered as input and output signals, respectively. Having the black-box model of power systems is useful to design controllers such as automatic voltage regulator (AVR), power system stabilizer (PSS), etc. Modeling procedure has been applied to IEEE 14-bus test case power system and required signals have been provided by phasor measurement units (PMUs). The simulation results show the high precision of the proposed scheme.
Keywords :
IEEE standards; MIMO systems; control system synthesis; phasor measurement; power system control; state-space methods; wavelet transforms; AVR; Hammerstein-Wiener methods; IEEE 14-bus test case power system; PMU; PSS; automatic voltage regulator; design controllers; field voltage; input signals; linear methods; multi input multi output black-box model; nonlinear methods; output signals; phasor measurement units; power system stabilizer; state-space; synchronous generators; wavelet-based methods; Mathematical model; Phasor measurement units; Power system stability; Synchronous generators; Time measurement; Voltage measurement; Black-box modeling; phasor measurement unit; synchronous generator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering (ICEE), 2013 21st Iranian Conference on
Conference_Location :
Mashhad
Type :
conf
DOI :
10.1109/IranianCEE.2013.6599578
Filename :
6599578
Link To Document :
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