This paper provides an accuracy analysis of known estimation techniques based on interpolated DFT (IpDFT) methods, under the impaired conditions of a low-voltage distribution grid. A brief discussion of expected impairments is provided first, then IpDFT is applied for the estimation of voltage phasors in the neighborhood of abrupt voltage amplitude variations.

The development of smart microgrids requires the adoption of distributed algorithms for energy management and control. In a microgrid, smart meters should also provide measuring functions similar to a PMU with comparable accuracy yet, being connected to a low-voltage distribution grid, they will have to cope with different electrical disturbances. © 2013 IEEE.

Characterization of microgrid smart metering: Phasor estimation under impaired conditions

Tramarin Federico
2013

Abstract

The development of smart microgrids requires the adoption of distributed algorithms for energy management and control. In a microgrid, smart meters should also provide measuring functions similar to a PMU with comparable accuracy yet, being connected to a low-voltage distribution grid, they will have to cope with different electrical disturbances. © 2013 IEEE.
2013
9781467346221
This paper provides an accuracy analysis of known estimation techniques based on interpolated DFT (IpDFT) methods, under the impaired conditions of a low-voltage distribution grid. A brief discussion of expected impairments is provided first, then IpDFT is applied for the estimation of voltage phasors in the neighborhood of abrupt voltage amplitude variations.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/230831
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