Application of the method of disturbances interaction for assessing origin of stationary power quality disturbances
Authors:
- 15 December 2016
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 709-714
Abstract
The problem of Responsibilities Assignment RAP in power quality can be defined as the identification of the qualitative and quantitative contribution of each agent connected to an electrical system to the observed Power Quality conditions, which must defined according to specific regulations or expected conditions. In other words, the RAP is aimed to identify the contribution of an agent (load, generator, branch circuit, etc.) belonging to a Point of Common Coupling PCC at a particular disturbance. This paper presents a method for determining the origin of disturbances, based on the concept of causality and epidemiological techniques. The proposed method is tested with a real system and its results are presented.Keywords
This publication has 11 references indexed in Scilit:
- Effects on lifetime of low voltage conductors due to stationary power quality disturbancesDYNA, 2015
- Causality assessment for power quality stationary disturbances2014
- Insulation temperature increase in power transformers due to stationary disturbances: Comparison of methods2013
- Statistical analysis of power quality disturbances propagation by means of the Method of Disturbances Interaction2012
- Method of Disturbances Interaction: Novel approach to assess responsibilities for steady state power quality disturbances among customers2010
- Experimental investigation of existing methodologies for the Responsibilities Assignment Problem2009
- Fryze - Buchholz - Depenbrock: A time-domain power theory2008
- Investigation on Multipoint Measurement Techniques for PQ MonitoringIEEE Transactions on Instrumentation and Measurement, 2006
- A “Critical Impedance”-Based Method for Identifying Harmonic SourcesIEEE Transactions on Power Delivery, 2004
- The FBD-method, a generally applicable tool for analyzing power relationsIEEE Transactions on Power Systems, 1993