Stochastic digital DFT processor and its application to measurement of reactive power and energy

Abstract

In this paper we present the model of digital stochastic DFT processor. Compared to the classical DFT/FFT processors, the proposed model has two advantages: first, it is much simpler and cheaper to implement, and second, it allows us to compute individual DFT components either in isolation or in parallel. In order to prove the validity of our model, we have simulated the measurement of reactive power and energy. In addition, we have conducted several experiments under field and laboratory conditions. The obtained results have shown that reactive power and energy can be measured with an accuracy of several ppm.

A brief overview of stochastic instruments for measuring flows of electrical power and energy

“…Therefore, they can be improved without new hardware design. Some improvements in that sense were presented in [4] and [8]. The first reference describes the improvement in terms of accuracy, while the second one shows how to determine the consumer's profile (capacitive, inductive, thermogenic or mixed) and its behavior.…”

“…Both devices are based on national patents [1] and [3] and use a two-bit SDDFT processor [4] to process some measured data. Owing to this, one MM4 device can measure up to 70 quantities: Unlike the VMP20, the MM4 is connected to a PC via the USB cable.…”

“…In [4], it was shown that the MM4 measures all parameters necessary for calculation of the electrical power (according to the IEEE Std. 1459-2010).…”

Realizacija Aplikacije Elektrokardiografa Za Detekciju Srčanih Anomalija

“…Uz to bi bilo planirano da i uređaj sadrži odgovarajuć lek za pacijenta, da u slučaju mu se desi nešto neočekivano, i hitna pomoć ne bi stigla brzo, da taj lek uspe da pomogne osobi, i čak da mu spasi život. Osim toga, u planovima budućeg razvoja aplikacije, planira se njeno integrisanje sa istraživačkim sistemom za razvoj stohastičkog elektorkardiografaelektrokardiografa koji će primeniti koncepte iz ranije razvijenih metoda digitalnog stohastičkog merenja [7][8][9][10][11][12][13][14][15].…”

Stochastic measurement of wind power using a two-bit A/D converter

“…Having this in mind, in this paper, we present a simple and cheap approach to measure wind power and energy. The key idea behind this approach is to use stochastic digital measurement method (SDMM) [5]- [13] to process the data generated by anemometer with cups. Unlike the standard sampling method [14], the SDMM can be realized using two-bit A/D converters.…”