Management of Smart Switchboard Placement to Enhance Distribution System Reliability

Peter Holcsik, Judith Pálfi, Miklos Tompa, Janusz Grabara, Zsolt Čonka, Michal Kolcun, Mihai Avornicului and Karol Jędrasiak
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Peter Holcsik: Research Group of Applied Disciplines and Technologies in Energetics, Óbuda University, 1034 Budapest, Hungary
Judith Pálfi: Research Group of Applied Disciplines and Technologies in Energetics, Óbuda University, 1034 Budapest, Hungary
Miklos Tompa: Research Group of Applied Disciplines and Technologies in Energetics, Óbuda University, 1034 Budapest, Hungary
Janusz Grabara: The Management Faculty, Department of Management, Czestochowa University of Technology, 42-200 Częstochowa, Poland
Zsolt Čonka: Department of Electric Power Engineering, Technical University of Košice, 040 01 Košice, Slovakia
Michal Kolcun: Department of Electric Power Engineering, Technical University of Košice, 040 01 Košice, Slovakia
Mihai Avornicului: Faculty of Economics and Business Administration, Babeş–Bolyai University, 40 132 Cluj-Napoca, Romania
Karol Jędrasiak: Faculty of Applied Sciences, Department of Transport and IT, WSB University, 41-300 Dąbrowa Górnicza, Poland

Energies, 2020, vol. 13, issue 6, 1-13

Abstract: One way of handling short-time short-circuits without causing equipment failure is the management of the reclose function integrated into smart switchboard which is described in this article. Due to the cost of the application, the optimal placement of such equipment must be well-planned. During the planning of the placement optimization of a low-voltage electricity network quality, the increase of the consumer supply security must be considered along with the best economic utilization. The research presented in this article aims to introduce a new special decision support methodology calculated with these variables. The management of smart switchboard (SSB) tool installation into low voltage (LV) network was investigated. The selection of the placement nodes is based on the complex investigation of the network characteristics. Investigation is performed by empiric analysis. This method can support the power companies to make the optimal decision. The presented new device can have outstanding importance for the electric industry and for further research as no testing results of such investigations have been published yet.

Keywords: power companies; decision support; smart switchboard (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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