Thursday, 18 November 2010

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Transactions: INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
Transactions ID Number: 19-705
Full Name: Mateo Bašić
Position: Assistant
Age: ON
Sex: Male
Address: Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, R. Boškovića 32, Split
Country: CROATIA (HRVATSKA)
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E-mail address: mabasic@fesb.hr
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Title of the Paper: Novel dynamic model of self-excited induction generator with iron losses
Authors as they appear in the Paper: Mateo Bašić, Dinko Vukadinović and Duško Lukač
Email addresses of all the authors: mabasic@fesb.hr,dvukad@fesb.hr,lukac@rfh-koeln.de
Number of paper pages: 9
Abstract: In this paper, we propose a novel dynamic model of a self-excited induction generator (SEIG), in which the iron losses are included and represented as a variable parameter, dependent on both air-gap flux and stator frequency. The air-gap flux influence is expressed by means of the corresponding iron loss current. In addition, the iron losses are modeled by means of a variable equivalent iron loss resistance, connected in parallel with the magnetizing reactance. To determine the iron loss resistance as well as the magnetizing inductance of the actual induction machine, we performed a series of no-load tests over a wide range of frequencies, using sinusoidal supply. In order to provide this kind of supply for the induction machine, we used a synchronous generator driven by a DC motor. In addition, we built the proposed dynamic model of a SEIG in the MATLAB/Simulink environment. This is, to the best knowledge of the authors, the first SEIG model with variable iron los!
ses that was entirely built in Simulink. In order to analyze the performance of the proposed model, we carried out a number of simulations and experiments. It is shown that the proposed model better approximates the actual induction machine in comparison with the conventional model, in which the iron losses are neglected.
Keywords: Dynamic model, Efficiency, Iron losses, Self-excited induction generator
EXTENSION of the file: .doc
Special (Invited) Session: Analysis of an Enhanced SEIG Model Including Iron Losses
Organizer of the Session: 654-163
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