Comparison of various reactive power definitions in non sinusoidal networks with the practical data of electrical arc furnace

Abstract

In the non sinusoidal networks, seven of the most famous power decompositions, proposed by Budeanu, Fryze, Kimbark, Shepherd and Zakikhani, Sharon, Kusters and Moore, and Czarnecki are widely recognized. In this study all of above reactive power definitions are simulated in MATLAB software. By using some statistic indices such as average and standard deviation applied to a huge number of data collected from eight Electric Arc Furnaces (EAFs) installed in Mobarakeh steel industry, Isfahan, Iran, the reactive power definitions are compared to each other from different ways. Also the mean of the seven famous definitions is considered as criteria and the farness of various definitions from it are compared to each other using proposed Mean Farness from Q, (MFQ) and Mean Farness from D, (MFD) indices.

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

“…In order to illustrate this, in this paper, we have simulated the measurement of average reactive power/energy (RP/RE) at the fundamental frequency and under nonsinusoidal conditions. Among many definitions of RP [8], [9], [10], we have chosen that of Budeanu [11]. Unlike the definition given by the IEEE [10], this definition does not require the introduction of a phase shift of π/2 between the voltage and current signals (at each harmonic frequency).…”