Statistical analysis of power quality disturbances propagation by means of the Method of Disturbances Interaction

Abstract

The determination of power quality disturbances has been studied in the last twenty years from different perspectives. Current decomposition provides a suitable approach to determine how disturbances propagate among circuits. The application of Fryze-Buchholz-Depenbrock -FBD power theory revealed useful results, such application has been called Method of Disturbances Interaction. In this paper a statistical analysis of the indices is presented, showing that indices' statistical behavior provides additional information on the propagation and origin of disturbances. The Method and the statistical analysis is illustrated in a practical application, a discussion and conclusions are listed as well.

Causality assessment for power quality stationary disturbances by means of centrality index

“…The proposed decomposition is based on the FBD Power Theory [7] [8] for stationary cases and on the current decomposition presented in the German Standards 40110-1 and 40110-2 [9] [10], which are based partially on Depenbrock's power theory as well. The M D I comprises five stages described in detail in [4] [11].…”

“…[4] and [11]. It is worthy to note that either all voltage and current samples or the whole voltage and current spectra (magnitude and phase angles for all frequency components) need to be recorded for each 200 ms.…”

“…In order to provide a complementary perspective to the previous results, the causality assessment proposed method was applied to the same data of [11]. The measurements were carried out in Colombia at a MV/LV substation, feeding two buildings, where several unknown linear and non-linear loads were in operation.…”

Interaction of power quality disturbances within 2–150 kHz (supraharmonics): Analytical framework

“…Results and discussion from the Interaction description between an LED lamp, a CFL device and a Power Source are shown in Sections III and IV respectively. [25], [26] uses an orthogonal current decomposition, derived from electrical power quantities, to determine current components at each agent (load, source, branch, etc.) related to stationary phenomena (active and reactive power, unbalance and harmonics).…”

Features Generation by Means of Currents' Physical Components for Load Identification

“…For example, [4] deals with finding the correlation between faulty equipment on the power networks, and the signal-to-noise ratio of the power-line signal induced, thus showing the possibility of developing a new method of faulty loads recognition in power networks. In [5], current decomposition provides a suitable approach to determine how disturbances propagate among circuits. The application of Fryze-Buchholz-Depenbrock -FBD power theory revealed useful results by using statistical analysis of the indices.…”