DocumentCode
1985999
Title
Smart grid: Algorithms for control of active-adaptive network components
Author
Suslov, Konstantin ; Gerasimov, Dmitry ; Solodusha, Svetlana
Author_Institution
Irkutsk State Tech. Univ., Irkutsk, Russia
fYear
2015
fDate
June 29 2015-July 2 2015
Firstpage
1
Lastpage
6
Abstract
The construction of automated systems intended for the control of electric power systems requires high-speed mathematical tools. The research is aimed at developing algorithms for the construction of automated systems to control active components of the electrical network. The method applied by the authors to describe the object of control is based on the universal approach to the mathematical modeling of nonlinear dynamic system of a black-box type represented by the Volterra polynomial of the N-th degree. The paper presents a new algorithm for the identification of Volterra polynomial of the second degree for non-stationary dynamic systems which allow an active experiment using test sets of input signals. This makes it possible for the input and output characteristics of the object to obtain an adequate and fast mathematical description. The results enable us to assess the applicability of this mathematical apparatus to the control of active components of electric power system in which power quality parameters are taken into account as an objective vector.
Keywords
Volterra equations; mathematical analysis; nonlinear dynamical systems; power supply quality; power system control; smart power grids; N-th degree; Volterra polynomial; active component control; active-adaptive network components; automated system; black-box; electric power system control; electrical network; high-speed mathematical tools; nonlinear dynamic system; nonstationary dynamic systems; power quality; smart grid; Mathematical model; Polynomials; Power quality; Power system dynamics; Wind turbines; Control systems; Electric power system; Power quality; Smart Grid; Volterra polynomial of the N-th degree; Wind turbines;
fLanguage
English
Publisher
ieee
Conference_Titel
PowerTech, 2015 IEEE Eindhoven
Conference_Location
Eindhoven
Type
conf
DOI
10.1109/PTC.2015.7232462
Filename
7232462
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