Computation method for analysis of sliding faults in power systems

• Autorzy: Machowski Jan , Robak Sylwester

Identyfikatory

DOI

10.24425/bpasts.2021.135841

• Języki publikacji: EN

Abstrakty

EN

Short-circuit analysis is conducted based on the nodal impedance matrix, which is the inversion of the nodal admittance matrix. If analysis is conducted for sliding faults, then for each fault location four elements of the nodal admittance matrix are subject to changes and the calculation of the admittance matrix inversion needs to be repeated many times. For large-scale networks such an approach is time consuming and unsatisfactory. This paper proves that for each new fault location a new impedance matrix can be found without recalculation of the matrix inversion. It can be found by a simple extension of the initial nodal impedance matrix calculated once for the input model of the network. This paper derives formulas suitable for such an extension and presents a flowchart of the computational method. Numerical tests performed for a test power system confirm the validity and usefulness of the proposed method.

Słowa kluczowe

EN

power system; short-circuit analysis; sliding faults; computation method

PL

system zasilania; analiza zwarć; wady ślizgowe; metody obliczeniowe

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2021
• Tom: Vol. 69, nr 1
• Strony: art. no. e135841
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Machowski Jan

• Electrical Power Engineering Institute, Faculty of Electrical Engineering, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland

• https://orcid.org/0000-0002-3132-4441

autor

Robak Sylwester

• Electrical Power Engineering Institute, Faculty of Electrical Engineering, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland

• https://orcid.org/0000-0003-1324-4242

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).