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Pregled bibliografske jedinice broj: 1007762

Determining Impact of Lightning Strike Location on Failures in Transmission Network Elements using Fuzzy Decision Making


Petrović, Ivica; Nikolovski, Srete; Baghaee Reza, Hamid; Glavaš, Hrvoje
Determining Impact of Lightning Strike Location on Failures in Transmission Network Elements using Fuzzy Decision Making // IEEE Systems Journal, 14 (2020), 2; 2665-2675 doi:10.1109/JSST.2019.2923690 (međunarodna recenzija, članak, znanstveni)


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Naslov
Determining Impact of Lightning Strike Location on Failures in Transmission Network Elements using Fuzzy Decision Making

Autori
Petrović, Ivica ; Nikolovski, Srete ; Baghaee Reza, Hamid ; Glavaš, Hrvoje

Izvornik
IEEE Systems Journal (1932-8184) 14 (2020), 2; 2665-2675

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Decision making system ; expert system ; fault location ; fuzzy logic ; lightning strike location

Sažetak
This paper presents a new approach for determining the impact of lightning strikes currents on transmission network elements failures, based on fuzzy logic (FL) and expert systems. The location of lightning strike is determined by means of lightning location system (LLS) and failures in the transmission network, sorted by type of the equipment, are obtained from supervisory control and data acquisition (SCADA) system. The input data set includes two sets. The first set consists of lightning strike locations and current values between the cloud and the ground. The second set consists of current values from SCADA system before and after the fault, protection tripping information, and the state and position of the switches. The proposed FLbased solution based on a fuzzy decision making system (DMS), including both data sets in order to provide a power system operator (PSO) with a precise and accurate decision needed in time of emergency. The described model has been tested for functionality and correct results have been obtained and thus, confirm that the membership function (MF) assessment and proves the efficiency and authenticity of the proposed DMS.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Profili:

Avatar Url Hrvoje Glavaš (autor)

Avatar Url Srete Nikolovski (autor)

Avatar Url Ivica Petrović (autor)

Citiraj ovu publikaciju

Petrović, Ivica; Nikolovski, Srete; Baghaee Reza, Hamid; Glavaš, Hrvoje
Determining Impact of Lightning Strike Location on Failures in Transmission Network Elements using Fuzzy Decision Making // IEEE Systems Journal, 14 (2020), 2; 2665-2675 doi:10.1109/JSST.2019.2923690 (međunarodna recenzija, članak, znanstveni)
Petrović, I., Nikolovski, S., Baghaee Reza, H. & Glavaš, H. (2020) Determining Impact of Lightning Strike Location on Failures in Transmission Network Elements using Fuzzy Decision Making. IEEE Systems Journal, 14 (2), 2665-2675 doi:10.1109/JSST.2019.2923690.
@article{article, year = {2020}, pages = {2665-2675}, DOI = {10.1109/JSST.2019.2923690}, keywords = {Decision making system, expert system, fault location, fuzzy logic, lightning strike location}, journal = {IEEE Systems Journal}, doi = {10.1109/JSST.2019.2923690}, volume = {14}, number = {2}, issn = {1932-8184}, title = {Determining Impact of Lightning Strike Location on Failures in Transmission Network Elements using Fuzzy Decision Making}, keyword = {Decision making system, expert system, fault location, fuzzy logic, lightning strike location} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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