Hibridni algoritam estimacije stanja elektroenergetskog sustava podržan sinkroniziranim mjerenjima fazora

Kirinčić, Vedran

prikaz prve stranice dokumenta Hibridni algoritam estimacije stanja elektroenergetskog sustava podržan sinkroniziranim mjerenjima fazora

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doctoral thesis

Hibridni algoritam estimacije stanja elektroenergetskog sustava podržan sinkroniziranim mjerenjima fazora

Zagreb, Rijeka: University of Zagreb, Faculty of Electrical Engineering and Computing, 2013. urn:nbn:hr:168:957034

Kirinčić, Vedran

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Energy and Power Systems
University of Rijeka
Faculty of Engineering
Department of Electric Power Systems

Cite this document

APA 6th Edition

Kirinčić, V. (2013). Hibridni algoritam estimacije stanja elektroenergetskog sustava podržan sinkroniziranim mjerenjima fazora (Doctoral thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:957034

MLA 8th Edition

Kirinčić, Vedran. "Hibridni algoritam estimacije stanja elektroenergetskog sustava podržan sinkroniziranim mjerenjima fazora." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing; University of Rijeka, Faculty of Engineering, 2013. https://urn.nsk.hr/urn:nbn:hr:168:957034

Chicago 17th Edition

Harvard

Kirinčić, V. (2013). 'Hibridni algoritam estimacije stanja elektroenergetskog sustava podržan sinkroniziranim mjerenjima fazora', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing; University of Rijeka, Faculty of Engineering, accessed 23 March 2023, https://urn.nsk.hr/urn:nbn:hr:168:957034

Vancouver

Kirinčić V. Hibridni algoritam estimacije stanja elektroenergetskog sustava podržan sinkroniziranim mjerenjima fazora [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; Rijeka: University of Rijeka, Faculty of Engineering; 2013 [cited 2023 March 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:957034

IEEE

V. Kirinčić, "Hibridni algoritam estimacije stanja elektroenergetskog sustava podržan sinkroniziranim mjerenjima fazora", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb; University of Rijeka, Faculty of Engineering, Rijeka, 2013. Available at: https://urn.nsk.hr/urn:nbn:hr:168:957034

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:957034

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Metadata

Title	Hibridni algoritam estimacije stanja elektroenergetskog sustava podržan sinkroniziranim mjerenjima fazora
Title (english)	Hybrid algorithm of power system state estimation assisted by phasor measurements
Author	Vedran Kirinčić
Mentor	Ante Marušić (mentor)
Mentor	Srđan Skok (komentor)
Committee member	Ante Marušić (član povjerenstva)
Committee member	Srđan Skok (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Energy and Power Systems) Zagreb
Granter	University of Rijeka Faculty of Engineering (Department of Electric Power Systems) Rijeka
Defense date and country	2013-07-09, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering
Universal decimal classification (UDC)	621.3 - Electrical engineering
Abstract	Razvijeni višeslojni hibridni estimator stanja elektroenergetskog sustava koristi SCADA (engl. Supervisory Control And Data Acquisition) mjerenja i sinkronizirana mjerenja fazora, dostupna iz PMU jedinica (engl. Phasor Measurement Unit). Model hibridnog estimatora stanja je prikazan u statičkoj i dinamičkoj formulaciji. Linearni estimator stanja u prvom koraku statičke formulacije koristi samo sinkronizirana mjerenja fazora. Estimator stanju u drugom sloju koristi iterativnu WLS (engl. Weighted Least Squares) metodu s ograničenjima jednakosti za injekcije snage u pasivnim čvorištima te kombinira SCADA mjerenja s pseudo-mjerenjima dobivenim iz rezultata prvog sloja formulacije. Rezultati estimatora stanja prvog sloja se također koriste prilikom inicijalizacije estimatora stanja drugog sloja. Dinamička formulacija u prvom sloju iskorištava visoku učestalost sinkroniziranih mjerenja fazora, dostupnih u intervalu između dva pokretanja estimatora stanja drugog sloja. Višeslojni hibridni estimator stanja je ispitan na IEEE test sustavima s 14, 57 i 118 čvorišta. Kao primjer stvarnog sustava je korišten model dijela prijenosnog sustava Republike Hrvatske. Razvijeni hibridni model je uspoređen s estimatorom stanja zasnovanom na klasičnom pristupu, koji koristi samo SCADA mjerenja, kao i postojećim hibridnim estimatorima stanja. Višeslojni hibridni estimator stanja rezultira točnijom estimacijom stanja, uz poboljšanje sposobnosti filtriranja pogrešaka u skupu mjerenja te konvergencije proračuna.
Abstract (english)	The developed multilayer hybrid state estimator in the static and the dynamic formulation utilizes conventional Supervisory Control And Data Acquisition (SCADA) measurements and synchronized phasor measurements. The linear state estimator in the first layer of the static formulation uses only the synchronized phasor measurements of voltages and currents, while its state vector comprises buses observable by the deployed PMUs, i.e. buses equipped with the PMUs and their adjacent buses. The results of the first layer estimator are transformed from rectangular to polar coordinates and are used as pseudo-measurements together with the SCADA measurements in the second layer state estimator. Here the iterative Weighted Least Squares (WLS) method with equality constraints for zero injections is applied. In addition, the result of the first layer state estimator is used to obtain an initial guess for the second layer state estimator, in order to start the iterative process closer to the final solution, and thus to improve its convergence. The dynamic formulation utilized high sampling frequency of the synchronized phasor measurements, which are available between two runs of the state estimator in the second layer. The estimator was tested using the IEEE 14, 57 and 118 buses test systems. As an example of the real power system, the Croatian transmission power system model was used, with actual locations of SCADA and PMU measurements. The multilayer hybrid state estimator offers the enhanced estimation accuracy as well as the improved filtering and convergence capabilities.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:957034
Study programme	Title: Doctoral study programme "Electrical Engineering and Computing" Study programme type: university Study level: postgraduate Academic / professional title: doktor/doktorica znanosti, po-dručje tehničkih znanosti (doktor/doktorica znanosti, po-dručje tehničkih znanosti)
Catalog URL	http://lib.fer.hr/cgi-bin/koha/opac-detail.pl?biblionumber=41319
Type of resource	Text
Extent	187 str ; 30 cm
File origin	Born digital
Access conditions	Closed access
Terms of use
Repository	FER Repository
Created on	2019-11-29 12:10:21