prikaz prve stranice dokumenta Automatska identifikacija parametara asinkronog vjetrogeneratora
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master's thesis
Automatska identifikacija parametara asinkronog vjetrogeneratora
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. urn:nbn:hr:168:629914
Bariša, Tin
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Bariša, T. (2014). Automatska identifikacija parametara asinkronog vjetrogeneratora (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:629914

Bariša, Tin. "Automatska identifikacija parametara asinkronog vjetrogeneratora." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:629914

Bariša, Tin. "Automatska identifikacija parametara asinkronog vjetrogeneratora." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:629914

Bariša, T. (2014). 'Automatska identifikacija parametara asinkronog vjetrogeneratora', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:629914

Bariša T. Automatska identifikacija parametara asinkronog vjetrogeneratora [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2014 [cited 2024 December 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:629914

T. Bariša, "Automatska identifikacija parametara asinkronog vjetrogeneratora", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:168:629914

Metadata
TitleAutomatska identifikacija parametara asinkronog vjetrogeneratora
Title (english)Automatic identification of wind generator parameters
AuthorTin Bariša
MentorIgor Erceg (mentor)
Committee memberIgor Erceg (predsjednik povjerenstva)
Committee memberDamir Sumina (član povjerenstva)
Committee memberMario Vražić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2014-07-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U radu su istražene i razvijene metode za identifikaciju parametara asinkronog vjetrogeneratora napajanog iz frekvencijskog pretvarača. Metode vektorskog upravljanja asinkronim vjetrogeneratorom temeljene su na parametrima asinkronog vjetrogeneratora pa je za učinkovito upravljanje od presudnog značenja poznavanje električnih parametara nadomjesne sheme asinkronog vjetrogeneratora. Analizirani su standardni postupci identifikacije parametara asinkronog vjetrogeneratora te su istraženi i razvijeni napredni algoritmi određivanja parametara. Standardne metode identifikacije uključuju pokus praznog hoda (određivanje međuinduktiviteta), pokus kratkog spoja (određivanje otpora rotora te rasipnih induktiviteta statora i rotora) te pokus napajanja statora istosmjernim naponom (određivanje otpora statora). Razvijene napredne metode identifikacije temelje se na određivanju međuinduktiviteta vektorski upravljanog asinkronog vjetrogeneratora pomoću istosmjernog napona, identifikaciji parametara metodom najmanjih kvadrata, estimaciji parametara iz tranzijentnih odziva struja i napona statora te identifikaciji tranzijentnog induktiviteta statora istosmjernim naponom. Mjerenjem vrijednosti struja i napona statora moguće je s visokom razinom preciznosti identificirati parametre nadomjesne sheme vjetrogeneratora. Navedene metode provjerene su simulacijom u programskom paketu Matlab/Simulink.
Abstract (english)
In this paper new identification methods of induction wind generator supplied by inverter were researched and developed. Vector control schemes of induction wind generator are based on induction wind generator parameters so in order to achieve efficient control it is necessary to identify parameters from the equivalent scheme of induction wind generator. Standard identification methods of induction wind generator are analyzed but also advanced methods were developed and simulated. Standard identification methods include no load test (identification of mutual inductance), short circuit with locked rotor test (identification of stator and rotor leakage inductance and rotor resistance) and DC test (identification of stator resistance). Researched advanced methods are based on identifying mutual inductance of vector controlled induction wind generator by applying DC voltage, using least square method to identify induction wind generator parameters, estimation of parameters from transient measurement of stator voltage and current and identifying stator transient inductance by applying DC voltage. Using voltage and current measurements it is possible to identify parameters of induction wind generator equivalent scheme with high level of precision. Proposed methods were simulated and tested in Matlab.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:629914
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2018-02-06 07:45:35