DocumentCode
602432
Title
Electric network power quality assessment using fuzzy expert system methodology
Author
Vokas, Georgios A. ; Kaminaris, S.D. ; Kontaxis, P.A. ; Rangoussi, M. ; Ioannidis, George C. ; Papathanassiou, Stavros A. ; Malatestas, P.V. ; Topalis, Frangiskos V.
Author_Institution
Depts. of Electr. & Electron. Eng., Technol. Educ. Inst. (TEI) of Piraeus, Egaleo, Greece
fYear
2012
fDate
1-3 Oct. 2012
Firstpage
1
Lastpage
6
Abstract
The aim of this paper is to present a Fuzzy Expert System Methodology (FESM), based on the Fuzzy Logic, Expert System techniques and multicriteria decision making theory, which can be used to calculate a unique Fuzzy Total Power Quality Index (FTPQI) for every measured point of the electric network (measurements for a specific time period are used). FTPQI of the specific point includes unified and concentrated information about its PQ level and could contribute to the evaluation of examined electric network nodes providing a ranking between them in terms of PQ using the corresponding FTPQI. This tool could be used by the system administrator giving a reliable and scientific way to check the total PQ of electric networks in general and at specified points and, also, providing the possibility of ad-hoc network improvement remedies.
Keywords
decision making; expert systems; fuzzy logic; fuzzy set theory; power engineering computing; power supply quality; FTPQI; PQ level; ad hoc network; electric network node; electric network power quality assessment; fuzzy expert system methodology; fuzzy logic; fuzzy total power quality index; multicriteria decision making theory; Disturbances; Events; Expert Systems; Fuzzy Logic; PQ measurements; Power Quality (PQ); multi-criteria decision making theory;
fLanguage
English
Publisher
iet
Conference_Titel
Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2012), 8th Mediterranean Conference on
Conference_Location
Cagliari
Electronic_ISBN
978-1-84919-715-1
Type
conf
DOI
10.1049/cp.2012.2057
Filename
6521899
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