Quantifying electric power quality via fuzzy modelling and analytic hierarchy processing

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Quantifying electric power quality via fuzzy modelling and analytic hierarchy processing

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There is no one universal, even approximate, piece of data that entirely characterises, qualitatively or quantitatively, the status of the power quality at a utilisation point. This is due, on the one hand, to the great dimensionality of the parameters involved in the problem of power quality evaluation. On the other hand, the available data is featured with imprecision, uncertainty and vagueness, which renders it a very tedious and problematical task to assess the power quality level through one index. It is attempted to formulate one such comprehensive measure for the level of power quality at a loading point. Knowledge acquisition sessions, analytic hierarchy processing and fuzzy reasoning are the assistant tools employed to propose this new measure.

Inspec keywords: inference mechanisms; power supply quality; uncertain systems; knowledge acquisition; fuzzy set theory

Other keywords: electric power quality; power quality evaluation; vagueness; fuzzy modelling; fuzzy set theory; analytic hierarchy processing; uncertainty; fuzzy reasoning; knowledge acquisition sessions

Subjects: Power supply quality and harmonics; Combinatorial mathematics

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